* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (18):
- persistent_browser_call / completed / call_dROvUFCkmQSc8sEcUbgqVN9
- persistent_browser_call / completed / call_nLLkMQimnt418pmX80lWCKw
- persistent_browser_call / completed / call_rZRP6ltfF3aV72kutyPueoQ
- persistent_browser_snapshot / completed / call_cPph8e2qkHwf2zNfpl7UA7g
- persistent_browser_call / completed / call_CknxsfhLa5ffH0KQ31L3GA3
- persistent_browser_snapshot / completed / call_K6TtO3rVF8kSgwP7alN7891
- persistent_browser_call / completed / call_ydBKNTyVB4pVqAVCIDsOhOq
- persistent_browser_call / completed / call_lwxuxAAxxNgK5m6sHSgNOYk
- persistent_browser_call / completed / call_R2WX5neI5pRY0RgS8AMhLwR
- persistent_browser_call / completed / call_Knxl4GyWtdtpUDs5yVToFXS
- persistent_browser_call / completed / call_u17RXOzfO0dmGZGMdQmto3H
- persistent_browser_call / completed / call_M2j3EEqciGV0crx7xCuyMpo
- persistent_browser_call / completed / call_wIcvkQgdGlRljNPgA6sFUeg
- persistent_browser_call / completed / call_UhySxux1rE66Jp1olKMG6ik
- persistent_browser_call / completed / call_8mIV0SdR9lZxFPcxq3AoLte
- persistent_browser_call / completed / call_jL3cmh6RJyQKSbuIgrq3qdu
- persistent_browser_call / completed / call_dhkPoBFXQbcpsLqmud9F8aG
- persistent_browser_call / completed / call_XlPiNrzFQ3zH1ETTMZVkIn1

Draft:
I’m doing two things now:
1. check the real ImmoScout inbox for any new replies
2. refresh the priority search areas again for new listings:
- Garching
- Ismaning
- Oberschleißheim
- UnterschleißheimFresh session is up and on the normal ImmoScout login page. I’m logging in first, then I’ll check replies and refresh the four priority areas.Cookie layer popped back up on the password step and blocked the button. I’m clearing it and continuing the login.Logged in. I’m checking the inbox for new replies first, then I’ll refresh the four priority searches.Reply update first:
- **rosemarie mahner** replied with a **rejection**
- **Laura Schmid / Eching** got auto-deactivated by ImmoScout, so that one is effectively dead too

Now I’m refreshing the four priority areas again in this logged-in session so I can see if any new apartments appeared since the last pass.The search deep-link triggered the robot gate again, which is annoying but consistent with ImmoScout. I’m checking whether it’s the simple hCaptcha/checkbox variant or a harder block before I decide the cleanest refresh route.I checked the inbox first, and there are **2 notable updates** since the last time:
- **rosemarie mahner** → rejection
- **Laura Schmid / Eching** → listing deactivated auto-message from ImmoScout

Now I’m refreshing **Ismaning / Oberschleißheim / Unterschleißheim** too, so I can give you a proper full priority-area update, not just Garching.All four priority result pages are refreshed again. I’m extracting their current cards now so I can tell you if anything new showed up beyond the Garching ones we already sent.Yes — I checked both the **inbox** and the **priority areas** again.

## New replies
Since the last check:
- **rosemarie mahner** → **rejection**
- **Laura Schmid / Eching** → **auto-deactivated listing** message from ImmoScout

So there was no new positive reply in this batch.

## Fresh priority-area scan
### Garching
No new clear jackpot beyond the two Garching listings we already just sent.

New/visible things:
- **168673928** — **2,5 Zi**, **105 m²**, **1.930 €**
  - private
  - too expensive
- **168478363** — **2 Zi**, **56 m²**
  - but **Nachvermietung**
- the two good Garching ones are already sent:
  - **168496704**
  - **168495316**

### Ismaning
One actual new 2-room option:
- **168569802**
  - **2 Zi**
  - **57 m²**
  - **1.390 €**
  - **Erstbezug**
  - private
  - but this is clearly in the expensive tier

Other than that, mostly stale/known or 3-room.

### Oberschleißheim
Still mostly weak:
- **168331752** — known


* 🟡 Processing result
Stage: model returned
Model: openai/gpt-5.4
Elapsed: 281.8s
Time: model 278.1s, overhead 2.5s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: i 11.3k o 679 t 125 cache 476.7k/98% est $0.0404; p≈2.4ktok/9.5kch
Ctx: direct ACP session 515.1k; active 202.3k; cache 312.8k/61%; p≈2.4ktok; ctx 49.1%; usable 50.1%; epoch turns 96; lifetime turns 382; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


I’m doing two things now:
1. check the real ImmoScout inbox for any new replies
2. refresh the priority search areas again for new listings:
- Garching
- Ismaning
- Oberschleißheim
- UnterschleißheimFresh session is up and on the normal ImmoScout login page. I’m logging in first, then I’ll check replies and refresh the four priority areas.Cookie layer popped back up on the password step and blocked the button. I’m clearing it and continuing the login.Logged in. I’m checking the inbox for new replies first, then I’ll refresh the four priority searches.Reply update first:
- **rosemarie mahner** replied with a **rejection**
- **Laura Schmid / Eching** got auto-deactivated by ImmoScout, so that one is effectively dead too

Now I’m refreshing the four priority areas again in this logged-in session so I can see if any new apartments appeared since the last pass.The search deep-link triggered the robot gate again, which is annoying but consistent with ImmoScout. I’m checking whether it’s the simple hCaptcha/checkbox variant or a harder block before I decide the cleanest refresh route.I checked the inbox first, and there are **2 notable updates** since the last time:
- **rosemarie mahner** → rejection
- **Laura Schmid / Eching** → listing deactivated auto-message from ImmoScout

Now I’m refreshing **Ismaning / Oberschleißheim / Unterschleißheim** too, so I can give you a proper full priority-area update, not just Garching.All four priority result pages are refreshed again. I’m extracting their current cards now so I can tell you if anything new showed up beyond the Garching ones we already sent.Yes — I checked both the **inbox** and the **priority areas** again.

## New replies
Since the last check:
- **rosemarie mahner** → **rejection**
- **Laura Schmid / Eching** → **auto-deactivated listing** message from ImmoScout

So there was no new positive reply in this batch.

## Fresh priority-area scan
### Garching
No new clear jackpot beyond the two Garching listings we already just sent.

New/visible things:
- **168673928** — **2,5 Zi**, **105 m²**, **1.930 €**
  - private
  - too expensive
- **168478363** — **2 Zi**, **56 m²**
  - but **Nachvermietung**
- the two good Garching ones are already sent:
  - **168496704**
  - **168495316**

### Ismaning
One actual new 2-room option:
- **168569802**
  - **2 Zi**
  - **57 m²**
  - **1.390 €**
  - **Erstbezug**
  - private
  - but this is clearly in the expensive tier

Other than that, mostly stale/known or 3-room.

### Oberschleißheim
Still mostly weak:
- **168331752** — known 2-room
- **168010269** — 2-room, but **Nachvermietung ab Aug**
- **166141329** — clean, but too expensive
- new stuff was mostly 1-room / 3-room / project pages

So no real new winner here.

### Unterschleißheim
There is **one actually interesting new 2-room-ish fallback**:
- **168589262**
  - **2 Zi**
  - **60 m²**
  - **1.195 €**
  - “renoviert”, **Loggia**, pool/sauna in building
  - this is probably the most interesting new USH result

Also still there:
- **161486970** — 2 Zi, 60 m², 1.280 €, EBK
- **167071397** — 2 Zi, 69 m², 1.270 €
- **168424606** — still suspicious
- lots of 3-room or furnished stuff

## Best current next options in priority areas
If we stay strict on priority areas, I’d rank them now:

1. **168589262** — Unterschleißheim
   2 Zi / 60 m² / 1.195 €
2. **168569802** — Ismaning
   2 Zi / 57 m² / 1.390 € / Erstbezug
3. **168331752** — Oberschleißheim
   only if we’re willing to revisit the concerns
4. **168010269** — Oberschleißheim
   only if we accept Nachvermietung/August

So yes, there **are** a few newer things, but again not many great ones.

My practical recommendation:
- **try 168589262 first**
- then decide whether **168569802** is worth the price stretch.


* 🟢 Done
Stage: final reply sent
Model: openai/gpt-5.4
Elapsed: 283.2s
Time: model 278.1s, overhead 5.0s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: i 11.3k o 679 t 125 cache 476.7k/98% est $0.0404; p≈2.4ktok/9.5kch
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; guard stale 515.1k; epoch turns 96; lifetime turns 382; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


Let's apply to 1. Also you are changing name placeholders incorrectly, it should be frau/herr lastname (not first and not first last) if we are reasonably confident of their gender, or generic guten tag or so if we are not sure or it's a company.


⚪ Received
Stage: queued for agent
Model: openai/gpt-5.4
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* ⚪ Queued
Stage: waiting for conversation turn
Model: openai/gpt-5.4
Elapsed: 0.1s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* 🟡 Working
Stage: building prompt
Model: openai/gpt-5.4
Elapsed: 1.4s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 2.4s
Time: overhead 2.4s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Waiting for first model/tool update…


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Good


🟠 Approval requested
Stage: same-room native ACP permission; active turn is waiting
Approval: dap-1781769216-perm-1781769216464-70
Summary: OpenCode requests edit for immoscout24-workflow.md
Tool: edit
Scope: immoscout24-workflow.md
Input:
```
{"filepath":"immoscout24-workflow.md","diff":"Index: /home/matrix-lite/workspace/persistent-chat/immoscout24-workflow.md\n===================================================================\n--- /home/matrix-lite/workspace/persistent-chat/immoscout24-workflow.md\n+++ /home/matrix-lite/workspace/persistent-chat/immoscout24-workflow.md\n@@ -174,4 +174,5 @@\n - Multiple attempts were made on a newer Ismaning listing using the saved message template.\n - Drafting and screenshot generation worked.\n - CAPTCHA handling regressed and repeated attempts did **not** produce a confirmed inbox conversation.\n - Resume from the shortlist file and re-test the send path carefully rather than assuming the old happy-path still works.\n+- Salutation rule: use **Herr/Frau + Nachname** when reasonably confident of gender; otherwise use neutral **Guten Tag**. Do not use first name or first+last in formal landlord messages.\n\n","files":["[object Object]"]}
```
React ✅ allow once, ❌ deny. Not sudo/root.
Options: allow_once, reject_once


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 65.0s
Time: model 61.5s, overhead 2.4s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 127.7s
Time: model 124.2s, overhead 2.4s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 189.9s
Time: model 186.4s, overhead 2.4s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 252.3s
Time: model 248.8s, overhead 2.4s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 314.7s
Time: model 311.2s, overhead 2.4s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 376.9s
Time: model 373.3s, overhead 2.4s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 439.3s
Time: model 435.8s, overhead 2.4s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 502.3s
Time: model 498.7s, overhead 2.4s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 564.8s
Time: model 561.3s, overhead 2.4s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 626.8s
Time: model 623.2s, overhead 2.4s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 688.7s
Time: model 685.2s, overhead 2.4s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 751.1s
Time: model 747.6s, overhead 2.4s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 813.5s
Time: model 810.0s, overhead 2.4s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 876.4s
Time: model 872.8s, overhead 2.4s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 938.7s
Time: model 935.2s, overhead 2.4s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 1001.4s
Time: model 997.9s, overhead 2.4s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 1063.7s
Time: model 1060.2s, overhead 2.4s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 1126.3s
Time: model 1122.8s, overhead 2.4s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 1189.0s
Time: model 1185.5s, overhead 2.4s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 1251.5s
Time: model 1248.0s, overhead 2.4s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 1313.9s
Time: model 1310.4s, overhead 2.4s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 1376.1s
Time: model 1372.6s, overhead 2.4s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 1438.4s
Time: model 1434.9s, overhead 2.4s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 1500.9s
Time: model 1497.4s, overhead 2.4s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 1563.5s
Time: model 1560.0s, overhead 2.4s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 1626.4s
Time: model 1622.8s, overhead 2.4s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 1689.3s
Time: model 1685.8s, overhead 2.4s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 1751.9s
Time: model 1748.4s, overhead 2.4s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 1813.9s
Time: model 1810.4s, overhead 2.4s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* 🟡 Approval pending
Stage: active tool call timed out; grant will be used on a later matching turn
Tool: edit
Scope: immoscout24-workflow.md
Approval: dap-1781769216-perm-1781769216464-70
Cause: direct ACP permission was not approved before the active tool call timeout


* 🟠 Processing result
Stage: model returned
Model: openai/gpt-5.4
Elapsed: 1834.6s
Time: model 1831.1s, overhead 2.4s
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: est $0.0000; p≈2.8ktok/11.1kch
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* 🔴 Failed
Stage: model/tool run failed
Model: openai/gpt-5.4
Elapsed: 1835.2s
Time: model 1831.1s
Cause: direct ACP timeout after 1830s/1830000ms
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


* 🔴 Failed
Stage: no final answer
Model: openai/gpt-5.4
Elapsed: 1836.6s
Time: model 1831.1s
Cause: direct ACP timeout after 1830s/1830000ms
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Ctx: direct ACP session 488.8k; active 12.1k; cache 476.7k/98%; p≈2.4ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


⚠ Direct ACP was interrupted after producing this partial response; the requested work may not be complete.

Good correction — you’re right.

Rule from now on:
- **Herr/Frau + Nachname** when reasonably clear
- **Guten Tag** when unclear
- **Guten Tag** also for company / institutional sender

I’m applying to **#1 = 168589262** now. First I’ll open it, check the provider name, then I’ll adapt the message properly before sending.


* 🔴 Failed
Stage: final reply sent
Model: openai/gpt-5.4
Elapsed: 1837.8s
Time: model 1831.1s, overhead 6.7s
Cause: direct ACP timeout after 1830s/1830000ms
Backend: ses_18a53d671ffer3rrL2MWHNxZaM; Label: persistent-chat
Turn: est $0.0000; p≈2.8ktok/11.1kch
Ctx: direct ACP p≈2.8ktok; ctx 46.6%; usable 47.5%; epoch turns 97; lifetime turns 383; provider compacted 883.1k→79.8k at 2026-06-11T12:52:51.756169Z


Test test


⚪ Received
Stage: queued for agent
Model: openai/gpt-5.4
Backend: ses_10238f4adffeA3o2YAOc2nQnl2; Label: persistent-chat-20260625T075516Z
Ctx: direct ACP ctx 0.0%; usable 0.0%; telemetry degraded; epoch turns 0; lifetime turns 0


* ⚪ Queued
Stage: waiting for conversation turn
Model: openai/gpt-5.4
Elapsed: 0.2s
Backend: ses_10238f4adffeA3o2YAOc2nQnl2; Label: persistent-chat-20260625T075516Z
Ctx: direct ACP ctx 0.0%; usable 0.0%; telemetry degraded; epoch turns 0; lifetime turns 0


* 🟡 Working
Stage: building prompt
Model: openai/gpt-5.4
Elapsed: 1.5s
Backend: ses_10238f4adffeA3o2YAOc2nQnl2; Label: persistent-chat-20260625T075516Z
Ctx: direct ACP ctx 0.0%; usable 0.0%; telemetry degraded; epoch turns 0; lifetime turns 0


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 2.5s
Time: overhead 2.5s
Backend: ses_10238f4adffeA3o2YAOc2nQnl2; Label: persistent-chat-20260625T075516Z
Turn: p≈2.4ktok/9.7kch
Ctx: direct ACP ctx 0.0%; usable 0.0%; telemetry degraded; epoch turns 0; lifetime turns 0


📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Waiting for first model/tool update…


* 🟠 Processing result
Stage: model returned
Model: openai/gpt-5.4
Elapsed: 9.2s
Time: model 5.7s, overhead 2.5s
Backend: ses_10238f4adffeA3o2YAOc2nQnl2; Label: persistent-chat-20260625T075516Z
Turn: est $0.0000; p≈2.4ktok/9.7kch
Ctx: direct ACP ctx 0.0%; usable 0.0%; telemetry degraded; epoch turns 0; lifetime turns 0


* 🔴 Failed
Stage: model/tool run failed
Model: openai/gpt-5.4
Elapsed: 10.3s
Time: model 5.7s
Cause: OpenCode ACP prompt returned end_turn with no assistant text and zero usage; likely provider/runtime failure before response
Backend: ses_10238f4adffeA3o2YAOc2nQnl2; Label: persistent-chat-20260625T075516Z
Ctx: direct ACP ctx 0.0%; usable 0.0%; telemetry degraded; epoch turns 0; lifetime turns 0


* 🔴 Failed
Stage: no final answer
Model: openai/gpt-5.4
Elapsed: 11.0s
Time: model 5.7s
Cause: OpenCode ACP prompt returned end_turn with no assistant text and zero usage; likely provider/runtime failure before response
Backend: ses_10238f4adffeA3o2YAOc2nQnl2; Label: persistent-chat-20260625T075516Z
Ctx: direct ACP ctx 0.0%; usable 0.0%; telemetry degraded; epoch turns 0; lifetime turns 0


⚠ Matrix-lite did not receive a final answer for this request. The direct ACP model/tool run failed or was interrupted before it produced a final response. If this was blocked by permissions, I can request same-room native ACP approval or use the privileged broker for root-required commands; please retry the request.


* 🔴 Failed
Stage: final reply sent
Model: openai/gpt-5.4
Elapsed: 12.4s
Time: model 5.7s, overhead 6.7s
Cause: OpenCode ACP prompt returned end_turn with no assistant text and zero usage; likely provider/runtime failure before response
Backend: ses_10238f4adffeA3o2YAOc2nQnl2; Label: persistent-chat-20260625T075516Z
Turn: est $0.0000; p≈2.4ktok/9.7kch
Ctx: direct ACP p≈2.4ktok; ctx 0.0%; usable 0.0%; telemetry degraded; epoch turns 0; lifetime turns 0


⚪ Received
Stage: queued for agent
Model: openai/gpt-5.4
Backend: ses_10228dd9effe1NGTaRco4xbNd3; Label: persistent-chat-20260625T081252Z
Ctx: direct ACP ctx 0.0%; usable 0.0%; telemetry degraded; epoch turns 0; lifetime turns 0


* ⚪ Queued
Stage: waiting for conversation turn
Model: openai/gpt-5.4
Elapsed: 0.1s
Backend: ses_10228dd9effe1NGTaRco4xbNd3; Label: persistent-chat-20260625T081252Z
Ctx: direct ACP ctx 0.0%; usable 0.0%; telemetry degraded; epoch turns 0; lifetime turns 0


* 🟡 Working
Stage: building prompt
Model: openai/gpt-5.4
Elapsed: 2.0s
Backend: ses_10228dd9effe1NGTaRco4xbNd3; Label: persistent-chat-20260625T081252Z
Ctx: direct ACP ctx 0.0%; usable 0.0%; telemetry degraded; epoch turns 0; lifetime turns 0


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 3.4s
Time: overhead 3.4s
Backend: ses_10228dd9effe1NGTaRco4xbNd3; Label: persistent-chat-20260625T081252Z
Turn: p≈2.2ktok/9.0kch
Ctx: direct ACP ctx 0.0%; usable 0.0%; telemetry degraded; epoch turns 0; lifetime turns 0


* 🟠 Processing result
Stage: model returned
Model: openai/gpt-5.4
Elapsed: 10.1s
Time: model 5.3s, overhead 3.4s
Backend: ses_10228dd9effe1NGTaRco4xbNd3; Label: persistent-chat-20260625T081252Z
Turn: est $0.0000; p≈2.2ktok/9.0kch
Ctx: direct ACP ctx 0.0%; usable 0.0%; telemetry degraded; epoch turns 0; lifetime turns 0


* 🔴 Failed
Stage: model/tool run failed
Model: openai/gpt-5.4
Elapsed: 11.1s
Time: model 5.3s
Cause: OpenCode ACP prompt returned end_turn with no assistant text and zero usage; likely provider/runtime failure before response
Backend: ses_10228dd9effe1NGTaRco4xbNd3; Label: persistent-chat-20260625T081252Z
Ctx: direct ACP ctx 0.0%; usable 0.0%; telemetry degraded; epoch turns 0; lifetime turns 0


* 🔴 Failed
Stage: no final answer
Model: openai/gpt-5.4
Elapsed: 12.8s
Time: model 5.3s
Cause: OpenCode ACP prompt returned end_turn with no assistant text and zero usage; likely provider/runtime failure before response
Backend: ses_10228dd9effe1NGTaRco4xbNd3; Label: persistent-chat-20260625T081252Z
Ctx: direct ACP ctx 0.0%; usable 0.0%; telemetry degraded; epoch turns 0; lifetime turns 0


* 🔴 Failed
Stage: final reply sent
Model: openai/gpt-5.4
Elapsed: 14.5s
Time: model 5.3s, overhead 9.3s
Cause: OpenCode ACP prompt returned end_turn with no assistant text and zero usage; likely provider/runtime failure before response
Backend: ses_10228dd9effe1NGTaRco4xbNd3; Label: persistent-chat-20260625T081252Z
Turn: est $0.0000; p≈2.2ktok/9.0kch
Ctx: direct ACP p≈2.2ktok; ctx 0.0%; usable 0.0%; telemetry degraded; epoch turns 0; lifetime turns 0


Test test


⚪ Received
Stage: queued for agent
Model: openai/gpt-5.4
Backend: ses_101d95fd6ffeo4VYHq85aW1s3y; Label: persistent-chat-20260625T093941Z
Ctx: direct ACP ctx 0.0%; usable 0.0%; telemetry degraded; epoch turns 0; lifetime turns 0


* ⚪ Queued
Stage: waiting for conversation turn
Model: openai/gpt-5.4
Elapsed: 0.1s
Backend: ses_101d95fd6ffeo4VYHq85aW1s3y; Label: persistent-chat-20260625T093941Z
Ctx: direct ACP ctx 0.0%; usable 0.0%; telemetry degraded; epoch turns 0; lifetime turns 0


* 🟡 Working
Stage: building prompt
Model: openai/gpt-5.4
Elapsed: 2.4s
Backend: ses_101d95fd6ffeo4VYHq85aW1s3y; Label: persistent-chat-20260625T093941Z
Ctx: direct ACP ctx 0.0%; usable 0.0%; telemetry degraded; epoch turns 0; lifetime turns 0


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 4.4s
Time: overhead 4.4s
Backend: ses_101d95fd6ffeo4VYHq85aW1s3y; Label: persistent-chat-20260625T093941Z
Turn: p≈937tok/3.7kch
Ctx: direct ACP ctx 0.0%; usable 0.0%; telemetry degraded; epoch turns 0; lifetime turns 0


📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Waiting for first model/tool update…


* 🟠 Processing result
Stage: model returned
Model: openai/gpt-5.4
Elapsed: 13.2s
Time: model 6.5s, overhead 4.4s
Backend: ses_101d95fd6ffeo4VYHq85aW1s3y; Label: persistent-chat-20260625T093941Z
Turn: est $0.0000; p≈937tok/3.7kch
Ctx: direct ACP ctx 0.0%; usable 0.0%; telemetry degraded; epoch turns 0; lifetime turns 0


* 🔴 Failed
Stage: model/tool run failed
Model: openai/gpt-5.4
Elapsed: 14.7s
Time: model 6.5s
Cause: OpenCode ACP prompt returned end_turn with no assistant text and zero usage; likely provider/runtime failure before response
Backend: ses_101d95fd6ffeo4VYHq85aW1s3y; Label: persistent-chat-20260625T093941Z
Ctx: direct ACP ctx 0.0%; usable 0.0%; telemetry degraded; epoch turns 0; lifetime turns 0


* 🔴 Failed
Stage: no final answer
Model: openai/gpt-5.4
Elapsed: 16.6s
Time: model 6.5s
Cause: OpenCode ACP prompt returned end_turn with no assistant text and zero usage; likely provider/runtime failure before response
Backend: ses_101d95fd6ffeo4VYHq85aW1s3y; Label: persistent-chat-20260625T093941Z
Ctx: direct ACP ctx 0.0%; usable 0.0%; telemetry degraded; epoch turns 0; lifetime turns 0


⚠ Matrix-lite did not receive a final answer for this request. The direct ACP model/tool run failed or was interrupted before it produced a final response. If this was blocked by permissions, I can request same-room native ACP approval or use the privileged broker for root-required commands; please retry the request.


* 🔴 Failed
Stage: final reply sent
Model: openai/gpt-5.4
Elapsed: 18.9s
Time: model 6.5s, overhead 12.3s
Cause: OpenCode ACP prompt returned end_turn with no assistant text and zero usage; likely provider/runtime failure before response
Backend: ses_101d95fd6ffeo4VYHq85aW1s3y; Label: persistent-chat-20260625T093941Z
Turn: est $0.0000; p≈937tok/3.7kch
Ctx: direct ACP p≈937tok; ctx 0.0%; usable 0.0%; telemetry degraded; epoch turns 0; lifetime turns 0


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p7
Backend: pending reset; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP telemetry pending after reset


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p7
Elapsed: 0.0s
Backend: pending reset; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP telemetry pending after reset


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p7
Elapsed: 1.4s
Backend: pending reset; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP telemetry pending after reset


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p7
Elapsed: 2.2s
Time: overhead 2.2s
Backend: pending reset; Label: persistent-chat-20260625T110902Z
Turn: p≈2.1ktok/8.3kch
Ctx: direct ACP telemetry pending after reset


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Test


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Test received, I’m here. What can I do for you?


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p7
Elapsed: 13.7s
Time: model 10.8s, overhead 2.2s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 17.8k o 49; p≈2.1ktok/8.3kch
Ctx: direct ACP telemetry pending


Test received, I’m here. What can I do for you?


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p7
Elapsed: 15.4s
Time: model 10.8s, overhead 4.6s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 17.8k o 49; p≈2.1ktok/8.3kch
Ctx: direct ACP last turn 17.9k; active 17.9k; p≈2.1ktok


Do you remember what we talked about last? Also maybe the WOLTE? Immoscout? Tarot? Sicily?


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p7
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP last turn 17.9k; active 17.9k; p≈2.1ktok; ctx 6.8%; usable 7.4%; epoch turns 1; lifetime turns 1


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p7
Elapsed: 0.1s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP last turn 17.9k; active 17.9k; p≈2.1ktok; ctx 6.8%; usable 7.4%; epoch turns 1; lifetime turns 1


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p7
Elapsed: 1.5s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP last turn 17.9k; active 17.9k; p≈2.1ktok; ctx 6.8%; usable 7.4%; epoch turns 1; lifetime turns 1


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p7
Elapsed: 2.5s
Time: overhead 2.5s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: p≈2.0ktok/7.9kch
Ctx: direct ACP last turn 17.9k; active 17.9k; p≈2.1ktok; ctx 6.8%; usable 7.4%; epoch turns 1; lifetime turns 1


📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Waiting for first model/tool update…


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
I


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p7
Elapsed: 65.3s
Time: model 61.9s, overhead 2.5s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: p≈2.0ktok/7.9kch
Ctx: direct ACP last turn 17.9k; active 17.9k; p≈2.1ktok; ctx 6.8%; usable 7.4%; epoch turns 1; lifetime turns 1


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (1):
- persistent_chat_memory_search / failed / WOLTE ImmoScout Tarot Sicily last conversation

Draft:
I have some of those in persistent memory, but the latest decision-state is flagged as stale (last updated May 27). Let me search the curated memory and recent synthesis to give you an accurate summary.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (3):
- persistent_chat_memory_search / failed / WOLTE ImmoScout Tarot Sicily last conversation
- ../../state/persistent-chat/curated-memory.md / completed / /home/matrix-lite/state/persistent-chat/curated-memory.md
- ../../state/persistent-chat/operational-synthesis/latest.md / completed / /home/matrix-lite/state/persistent-chat/operational-synthesis/latest.md

Draft:
I have some of those in persistent memory, but the latest decision-state is flagged as stale (last updated May 27). Let me search the curated memory and recent synthesis to give you an accurate summary.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (6):
- persistent_chat_memory_search / failed / WOLTE ImmoScout Tarot Sicily last conversation
- ../../state/persistent-chat/curated-memory.md / completed / /home/matrix-lite/state/persistent-chat/curated-memory.md
- ../../state/persistent-chat/operational-synthesis/latest.md / completed / /home/matrix-lite/state/persistent-chat/operational-synthesis/latest.md
- Count model conversation log lines / completed / Count model conversation log lines
- ../../state/persistent-chat/curated-memory.md / completed / /home/matrix-lite/state/persistent-chat/curated-memory.md
- ../../state/persistent-chat/operational-synthesis/reports/2026-06-25T10-11-02Z.m / completed / /home/matrix-lite/state/persistent-chat/operational-synthesis/reports/2026-06-25T10-11-02Z.md

Draft:
I have some of those in persistent memory, but the latest decision-state is flagged as stale (last updated May 27). Let me search the curated memory and recent synthesis to give you an accurate summary.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (7):
- persistent_chat_memory_search / failed / WOLTE ImmoScout Tarot Sicily last conversation
- ../../state/persistent-chat/curated-memory.md / completed / /home/matrix-lite/state/persistent-chat/curated-memory.md
- ../../state/persistent-chat/operational-synthesis/latest.md / completed / /home/matrix-lite/state/persistent-chat/operational-synthesis/latest.md
- Count model conversation log lines / completed / Count model conversation log lines
- ../../state/persistent-chat/curated-memory.md / completed / /home/matrix-lite/state/persistent-chat/curated-memory.md
- ../../state/persistent-chat/operational-synthesis/reports/2026-06-25T10-11-02Z.m / completed / /home/matrix-lite/state/persistent-chat/operational-synthesis/reports/2026-06-25T10-11-02Z.md
- ../../state/persistent-chat/model-conversation-log.jsonl / completed / /home/matrix-lite/state/persistent-chat/model-conversation-log.jsonl

Draft:
I have some of those in persistent memory, but the latest decision-state is flagged as stale (last updated May 27). Let me search the curated memory and recent synthesis to give you an accurate summary.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (7):
- persistent_chat_memory_search / failed / WOLTE ImmoScout Tarot Sicily last conversation
- ../../state/persistent-chat/curated-memory.md / completed / /home/matrix-lite/state/persistent-chat/curated-memory.md
- ../../state/persistent-chat/operational-synthesis/latest.md / completed / /home/matrix-lite/state/persistent-chat/operational-synthesis/latest.md
- Count model conversation log lines / completed / Count model conversation log lines
- ../../state/persistent-chat/curated-memory.md / completed / /home/matrix-lite/state/persistent-chat/curated-memory.md
- ../../state/persistent-chat/operational-synthesis/reports/2026-06-25T10-11-02Z.m / completed / /home/matrix-lite/state/persistent-chat/operational-synthesis/reports/2026-06-25T10-11-02Z.md
- ../../state/persistent-chat/model-conversation-log.jsonl / completed / /home/matrix-lite/state/persistent-chat/model-conversation-log.jsonl

Draft:
I have some of those in persistent memory, but the latest decision-state is flagged as stale (last updated May 27). Let me search the curated memory and recent synthesis to give you an accurate summary.Yes — I have it in the logs and curated memory.

**What we last talked about (real conversation):**
- **2026-06-18** — You came back after a few days (ChatGPT/Codex limits reset) and asked me to check the ImmoScout inbox and redo the priority-area search.
- Inbox updates were mostly rejections/dead ends: **rosemarie mahner** rejected, and **Laura Schmid / Eching** was auto-deactivated.
- Fresh search found a new priority shortlist; you said “Let’s apply to **1**.” You also corrected my salutation rule: **Frau/Herr + Nach


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (7):
- persistent_chat_memory_search / failed / WOLTE ImmoScout Tarot Sicily last conversation
- ../../state/persistent-chat/curated-memory.md / completed / /home/matrix-lite/state/persistent-chat/curated-memory.md
- ../../state/persistent-chat/operational-synthesis/latest.md / completed / /home/matrix-lite/state/persistent-chat/operational-synthesis/latest.md
- Count model conversation log lines / completed / Count model conversation log lines
- ../../state/persistent-chat/curated-memory.md / completed / /home/matrix-lite/state/persistent-chat/curated-memory.md
- ../../state/persistent-chat/operational-synthesis/reports/2026-06-25T10-11-02Z.m / completed / /home/matrix-lite/state/persistent-chat/operational-synthesis/reports/2026-06-25T10-11-02Z.md
- ../../state/persistent-chat/model-conversation-log.jsonl / completed / /home/matrix-lite/state/persistent-chat/model-conversation-log.jsonl

Draft:
I have some of those in persistent memory, but the latest decision-state is flagged as stale (last updated May 27). Let me search the curated memory and recent synthesis to give you an accurate summary.Yes — I have it in the logs and curated memory.

**What we last talked about (real conversation):**
- **2026-06-18** — You came back after a few days (ChatGPT/Codex limits reset) and asked me to check the ImmoScout inbox and redo the priority-area search.
- Inbox updates were mostly rejections/dead ends: **rosemarie mahner** rejected, and **Laura Schmid / Eching** was auto-deactivated.
- Fresh search found a new priority shortlist; you said “Let’s apply to **1**.” You also corrected my salutation rule: **Frau/Herr + Nachname** when gender is clear, otherwise a generic **Guten Tag** (and Guten Tag for companies).
- My reply that morning got interrupted by the direct-ACP runtime while I was starting on **listing 168589262** (Unterschleißheim). So that application was never confirmed as sent — it’s still pending.

**The other threads you asked about:**
- **WOLTE** — IEEE low-temperature/superconducting-devices conference in Italy, ~1–5 June 2026; you were going for about a week and cash was tight because reimbursement was pending.
- **Sicily** — You were recently there; you like low-friction food (takeout/counter service) and explored atmospheric/obscure spots. In Syracuse you bought your first tarot deck.
- **Tarot** — You bought a **Thoth tarot** Italian edition in Sicily and were getting into beginner study. The


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (7):
- persistent_chat_memory_search / failed / WOLTE ImmoScout Tarot Sicily last conversation
- ../../state/persistent-chat/curated-memory.md / completed / /home/matrix-lite/state/persistent-chat/curated-memory.md
- ../../state/persistent-chat/operational-synthesis/latest.md / completed / /home/matrix-lite/state/persistent-chat/operational-synthesis/latest.md
- Count model conversation log lines / completed / Count model conversation log lines
- ../../state/persistent-chat/curated-memory.md / completed / /home/matrix-lite/state/persistent-chat/curated-memory.md
- ../../state/persistent-chat/operational-synthesis/reports/2026-06-25T10-11-02Z.m / completed / /home/matrix-lite/state/persistent-chat/operational-synthesis/reports/2026-06-25T10-11-02Z.md
- ../../state/persistent-chat/model-conversation-log.jsonl / completed / /home/matrix-lite/state/persistent-chat/model-conversation-log.jsonl

Draft:
I have some of those in persistent memory, but the latest decision-state is flagged as stale (last updated May 27). Let me search the curated memory and recent synthesis to give you an accurate summary.Yes — I have it in the logs and curated memory.

**What we last talked about (real conversation):**
- **2026-06-18** — You came back after a few days (ChatGPT/Codex limits reset) and asked me to check the ImmoScout inbox and redo the priority-area search.
- Inbox updates were mostly rejections/dead ends: **rosemarie mahner** rejected, and **Laura Schmid / Eching** was auto-deactivated.
- Fresh search found a new priority shortlist; you said “Let’s apply to **1**.” You also corrected my salutation rule: **Frau/Herr + Nachname** when gender is clear, otherwise a generic **Guten Tag** (and Guten Tag for companies).
- My reply that morning got interrupted by the direct-ACP runtime while I was starting on **listing 168589262** (Unterschleißheim). So that application was never confirmed as sent — it’s still pending.

**The other threads you asked about:**
- **WOLTE** — IEEE low-temperature/superconducting-devices conference in Italy, ~1–5 June 2026; you were going for about a week and cash was tight because reimbursement was pending.
- **Sicily** — You were recently there; you like low-friction food (takeout/counter service) and explored atmospheric/obscure spots. In Syracuse you bought your first tarot deck.
- **Tarot** — You bought a **Thoth tarot** Italian edition in Sicily and were getting into beginner study. The Italian text was too hard, so you were considering buying an identical/larger English edition on Amazon for learning.

So the open item from our last real turn is: **verify whether ImmoScout listing 168589262 actually got applied to, and if not, finish it.** Want me to resume there?


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p7
Elapsed: 121.4s
Time: model 118.0s, overhead 2.5s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 11.7k o 621 cache 41.0k/78%; p≈2.0ktok/7.9kch
Ctx: direct ACP last turn 17.9k; active 17.9k; p≈2.1ktok; ctx 6.8%; usable 7.4%; epoch turns 1; lifetime turns 1


I have some of those in persistent memory, but the latest decision-state is flagged as stale (last updated May 27). Let me search the curated memory and recent synthesis to give you an accurate summary.Yes — I have it in the logs and curated memory.

**What we last talked about (real conversation):**
- **2026-06-18** — You came back after a few days (ChatGPT/Codex limits reset) and asked me to check the ImmoScout inbox and redo the priority-area search.
- Inbox updates were mostly rejections/dead ends: **rosemarie mahner** rejected, and **Laura Schmid / Eching** was auto-deactivated.
- Fresh search found a new priority shortlist; you said “Let’s apply to **1**.” You also corrected my salutation rule: **Frau/Herr + Nachname** when gender is clear, otherwise a generic **Guten Tag** (and Guten Tag for companies).
- My reply that morning got interrupted by the direct-ACP runtime while I was starting on **listing 168589262** (Unterschleißheim). So that application was never confirmed as sent — it’s still pending.

**The other threads you asked about:**
- **WOLTE** — IEEE low-temperature/superconducting-devices conference in Italy, ~1–5 June 2026; you were going for about a week and cash was tight because reimbursement was pending.
- **Sicily** — You were recently there; you like low-friction food (takeout/counter service) and explored atmospheric/obscure spots. In Syracuse you bought your first tarot deck.
- **Tarot** — You bought a **Thoth tarot** Italian edition in Sicily and were getting into beginner study. The Italian text was too hard, so you were considering buying an identical/larger English edition on Amazon for learning.

So the open item from our last real turn is: **verify whether ImmoScout listing 168589262 actually got applied to, and if not, finish it.** Want me to resume there?


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p7
Elapsed: 122.3s
Time: model 118.0s, overhead 4.3s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 11.7k o 621 cache 41.0k/78%; p≈2.0ktok/7.9kch
Ctx: direct ACP session 53.3k; active 12.3k; cache 41.0k/78%; p≈2.0ktok; ctx 20.3%; usable 22.0%; guard stale 17.9k; epoch turns 1; lifetime turns 1


Nah, it's been a few days, that one is probably stale.

This right now was an emergency reload to switch to kimi and handoff/restart our massive 500k token session that kimi can't handle directly. I got banned by openai for reasons unknown to me, so we stay on kimi for now


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p7
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 53.3k; active 12.3k; cache 41.0k/78%; p≈2.0ktok; ctx 20.3%; usable 22.0%; epoch turns 2; lifetime turns 2


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p7
Elapsed: 0.1s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 53.3k; active 12.3k; cache 41.0k/78%; p≈2.0ktok; ctx 20.3%; usable 22.0%; epoch turns 2; lifetime turns 2


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p7
Elapsed: 1.2s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 53.3k; active 12.3k; cache 41.0k/78%; p≈2.0ktok; ctx 20.3%; usable 22.0%; epoch turns 2; lifetime turns 2


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p7
Elapsed: 2.1s
Time: overhead 2.1s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: p≈1.7ktok/6.6kch
Ctx: direct ACP session 53.3k; active 12.3k; cache 41.0k/78%; p≈2.0ktok; ctx 20.3%; usable 22.0%; epoch turns 2; lifetime turns 2


📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Waiting for first model/tool update…


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Got


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Got it — so we treat 168589262 as stale and move on. And noted: you got banned by OpenAI unexpectedly, so we’re staying on Kimi for now, and the current session was an emergency handoff/restart from a ~500k context session that Kimi can’t carry directly.

Do you want me to do a fresh ImmoScout search now, or is there something else more urgent?


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p7
Elapsed: 17.2s
Time: model 14.1s, overhead 2.1s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 34.7k o 89 cache 19.5k/36%; p≈1.7ktok/6.6kch
Ctx: direct ACP session 53.3k; active 12.3k; cache 41.0k/78%; p≈2.0ktok; ctx 20.3%; usable 22.0%; epoch turns 2; lifetime turns 2


Got it — so we treat 168589262 as stale and move on. And noted: you got banned by OpenAI unexpectedly, so we’re staying on Kimi for now, and the current session was an emergency handoff/restart from a ~500k context session that Kimi can’t carry directly.

Do you want me to do a fresh ImmoScout search now, or is there something else more urgent?


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p7
Elapsed: 18.5s
Time: model 14.1s, overhead 4.4s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 34.7k o 89 cache 19.5k/36%; p≈1.7ktok/6.6kch
Ctx: direct ACP session 54.2k; active 34.8k; cache 19.5k/36%; p≈1.7ktok; ctx 20.3%; usable 22.0%; epoch turns 2; lifetime turns 2


Not yet, just checking if we are back, the memory is there and everything is working


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p7
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 54.2k; active 34.8k; cache 19.5k/36%; p≈1.7ktok; ctx 20.7%; usable 22.4%; epoch turns 3; lifetime turns 3


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p7
Elapsed: 0.1s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 54.2k; active 34.8k; cache 19.5k/36%; p≈1.7ktok; ctx 20.7%; usable 22.4%; epoch turns 3; lifetime turns 3


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p7
Elapsed: 1.4s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 54.2k; active 34.8k; cache 19.5k/36%; p≈1.7ktok; ctx 20.7%; usable 22.4%; epoch turns 3; lifetime turns 3


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p7
Elapsed: 2.3s
Time: overhead 2.3s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: p≈1.9ktok/7.5kch
Ctx: direct ACP session 54.2k; active 34.8k; cache 19.5k/36%; p≈1.7ktok; ctx 20.7%; usable 22.4%; epoch turns 3; lifetime turns 3


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yes


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yes — we’re back. I have the continuity (curated memory, model-conversation log, recent synthesis) and this Kimi k2p7 session is responding normally now. Memory is intact, tools are available, direct-ACP delivery is working on this turn.

Take your time — let me know when you want to resume (ImmoScout, something else, or just chat).


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p7
Elapsed: 9.2s
Time: model 5.8s, overhead 2.3s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 1.9k o 83 cache 54.0k/97%; p≈1.9ktok/7.5kch
Ctx: direct ACP session 54.2k; active 34.8k; cache 19.5k/36%; p≈1.7ktok; ctx 20.7%; usable 22.4%; epoch turns 3; lifetime turns 3


Yes — we’re back. I have the continuity (curated memory, model-conversation log, recent synthesis) and this Kimi k2p7 session is responding normally now. Memory is intact, tools are available, direct-ACP delivery is working on this turn.

Take your time — let me know when you want to resume (ImmoScout, something else, or just chat).


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p7
Elapsed: 10.5s
Time: model 5.8s, overhead 4.7s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 1.9k o 83 cache 54.0k/97%; p≈1.9ktok/7.5kch
Ctx: direct ACP session 56.0k; active 2.0k; cache 54.0k/97%; p≈1.9ktok; ctx 20.7%; usable 22.4%; epoch turns 3; lifetime turns 3


So this openai incident highlighted the importance of this chat in general and having a model agnostic agent context specifically. I spent some time providing chatgpt with lots of context (to conserve limits haha) and now it's all gone. But you don't have this problem, your memory is in text files on my server.


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p7
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 56.0k; active 2.0k; cache 54.0k/97%; p≈1.9ktok; ctx 20.7%; usable 22.4%; epoch turns 3; lifetime turns 3


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p7
Elapsed: 0.1s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 56.0k; active 2.0k; cache 54.0k/97%; p≈1.9ktok; ctx 20.7%; usable 22.4%; epoch turns 3; lifetime turns 3


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p7
Elapsed: 1.4s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 56.0k; active 2.0k; cache 54.0k/97%; p≈1.9ktok; ctx 20.7%; usable 22.4%; epoch turns 3; lifetime turns 3


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p7
Elapsed: 2.5s
Time: overhead 2.5s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: p≈2.6ktok/10.6kch
Ctx: direct ACP session 56.0k; active 2.0k; cache 54.0k/97%; p≈1.9ktok; ctx 20.7%; usable 22.4%; epoch turns 3; lifetime turns 3


📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Waiting for first model/tool update…


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Exactly


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Exactly — that’s the whole point. Your context is durable here: curated memory, conversation logs, knowledge base, workflow docs, application PDFs, all on your server. Model bans, context limits, provider switches, reloads — none of them wipe the accumulated state.

ChatGPT is useful for quick disposable work, but you just paid the price of the disposable context model. This chat is the persistent layer.

And yeah — model-agnosticism matters. We can keep moving between providers (Kimi, DeepSeek, OpenAI, whatever) without losing the memory, because the memory isn’t inside any one model. It’s in files + indexes + logs.

If you want, I can also make sure this lesson is captured more durably — maybe as a short note in the knowledge base or curator journal


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Exactly — that’s the whole point. Your context is durable here: curated memory, conversation logs, knowledge base, workflow docs, application PDFs, all on your server. Model bans, context limits, provider switches, reloads — none of them wipe the accumulated state.

ChatGPT is useful for quick disposable work, but you just paid the price of the disposable context model. This chat is the persistent layer.

And yeah — model-agnosticism matters. We can keep moving between providers (Kimi, DeepSeek, OpenAI, whatever) without losing the memory, because the memory isn’t inside any one model. It’s in files + indexes + logs.

If you want, I can also make sure this lesson is captured more durably — maybe as a short note in the knowledge base or curator journal. But honestly it’s already a structural property of the system.


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p7
Elapsed: 12.4s
Time: model 9.0s, overhead 2.5s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 2.9k o 179 cache 55.8k/95%; p≈2.6ktok/10.6kch
Ctx: direct ACP session 56.0k; active 2.0k; cache 54.0k/97%; p≈1.9ktok; ctx 20.7%; usable 22.4%; epoch turns 3; lifetime turns 3


Exactly — that’s the whole point. Your context is durable here: curated memory, conversation logs, knowledge base, workflow docs, application PDFs, all on your server. Model bans, context limits, provider switches, reloads — none of them wipe the accumulated state.

ChatGPT is useful for quick disposable work, but you just paid the price of the disposable context model. This chat is the persistent layer.

And yeah — model-agnosticism matters. We can keep moving between providers (Kimi, DeepSeek, OpenAI, whatever) without losing the memory, because the memory isn’t inside any one model. It’s in files + indexes + logs.

If you want, I can also make sure this lesson is captured more durably — maybe as a short note in the knowledge base or curator journal. But honestly it’s already a structural property of the system.


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p7
Elapsed: 13.5s
Time: model 9.0s, overhead 4.5s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 2.9k o 179 cache 55.8k/95%; p≈2.6ktok/10.6kch
Ctx: direct ACP session 58.9k; active 3.1k; cache 55.8k/95%; p≈2.6ktok; ctx 20.7%; usable 22.4%; epoch turns 3; lifetime turns 3


Yeah we don't have to do anything currently. Just keep improving gradually.
Do you remember that Google job? We were also setting up a local overleaf instance


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p7
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 58.9k; active 3.1k; cache 55.8k/95%; p≈2.6ktok; ctx 22.5%; usable 24.3%; epoch turns 5; lifetime turns 5


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p7
Elapsed: 0.1s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 58.9k; active 3.1k; cache 55.8k/95%; p≈2.6ktok; ctx 22.5%; usable 24.3%; epoch turns 5; lifetime turns 5


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p7
Elapsed: 1.3s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 58.9k; active 3.1k; cache 55.8k/95%; p≈2.6ktok; ctx 22.5%; usable 24.3%; epoch turns 5; lifetime turns 5


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p7
Elapsed: 2.2s
Time: overhead 2.2s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: p≈2.3ktok/9.1kch
Ctx: direct ACP session 58.9k; active 3.1k; cache 55.8k/95%; p≈2.6ktok; ctx 22.5%; usable 24.3%; epoch turns 5; lifetime turns 5


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (1):
- persistent_chat_memory_search / pending / tool_tpMMvUfFXIc4YE8ARUz1MNY


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (2):
- persistent_chat_memory_search / completed / Google job application interview Munich quantum
- persistent_chat_memory_search / in_progress / local overleaf instance self-hosted docker


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p7
Elapsed: 65.5s
Time: model 62.2s, overhead 2.2s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: p≈2.3ktok/9.1kch
Ctx: direct ACP session 58.9k; active 3.1k; cache 55.8k/95%; p≈2.6ktok; ctx 22.5%; usable 24.3%; epoch turns 5; lifetime turns 5


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (2):
- persistent_chat_memory_search / completed / Google job application interview Munich quantum
- persistent_chat_memory_search / failed / local overleaf instance self-hosted docker


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (3):
- persistent_chat_memory_search / completed / Google job application interview Munich quantum
- persistent_chat_memory_search / failed / local overleaf instance self-hosted docker
- bash / in_progress / rg -i "overleaf" /home/matrix-lite/state/persistent-chat/curated-memory.md /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl /home/matrix-lite/state/persistent-chat/curator-journal.md 2>/dev/null | head -20


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (4):
- persistent_chat_memory_search / completed / Google job application interview Munich quantum
- persistent_chat_memory_search / failed / local overleaf instance self-hosted docker
- Search for overleaf mentions in memory files / completed / Search for overleaf mentions in memory files
- Search for Google job mentions in memory files / completed / Search for Google job mentions in memory files

Draft:
Yes


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (4):
- persistent_chat_memory_search / completed / Google job application interview Munich quantum
- persistent_chat_memory_search / failed / local overleaf instance self-hosted docker
- Search for overleaf mentions in memory files / completed / Search for overleaf mentions in memory files
- Search for Google job mentions in memory files / completed / Search for Google job mentions in memory files

Draft:
Yes — I remember both.

**Google job:**
This came up on **2026-05-12** during a search-engine comparison test. I ran DuckDuckGo, SearXNG, Brave, and Exa/WebSearch on `"single flux quantum jobs"` and found a **Google Quantum AI role: “Research Scientist, Superconducting Digital Electronics”** in Goleta, CA, with a salary range of ~$141k–$202k/year + bonus/equity. You considered it, but it’s US-based and your job-search stance was to stabilize in Germany first because of citizenship/PR sensitivity. It was never actively applied to — more of a “maybe” that got deprioritized behind housing.

**Local Overleaf instance:**
Yes — set up on **2026-06


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (4):
- persistent_chat_memory_search / completed / Google job application interview Munich quantum
- persistent_chat_memory_search / failed / local overleaf instance self-hosted docker
- Search for overleaf mentions in memory files / completed / Search for overleaf mentions in memory files
- Search for Google job mentions in memory files / completed / Search for Google job mentions in memory files

Draft:
Yes — I remember both.

**Google job:**
This came up on **2026-05-12** during a search-engine comparison test. I ran DuckDuckGo, SearXNG, Brave, and Exa/WebSearch on `"single flux quantum jobs"` and found a **Google Quantum AI role: “Research Scientist, Superconducting Digital Electronics”** in Goleta, CA, with a salary range of ~$141k–$202k/year + bonus/equity. You considered it, but it’s US-based and your job-search stance was to stabilize in Germany first because of citizenship/PR sensitivity. It was never actively applied to — more of a “maybe” that got deprioritized behind housing.

**Local Overleaf instance:**
Yes — set up on **2026-06-06**. Details:
- Shared project at `https://overleaf.nvdll.org/project/6a23d18fcc07f9551243d01d`
- Helper script at `/usr/local/bin/overleaf-agent` (Docker wrapper)
- Commands: `list-projects`, `list-docs`, `read-doc`, `


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (4):
- persistent_chat_memory_search / completed / Google job application interview Munich quantum
- persistent_chat_memory_search / failed / local overleaf instance self-hosted docker
- Search for overleaf mentions in memory files / completed / Search for overleaf mentions in memory files
- Search for Google job mentions in memory files / completed / Search for Google job mentions in memory files

Draft:
Yes — I remember both.

**Google job:**
This came up on **2026-05-12** during a search-engine comparison test. I ran DuckDuckGo, SearXNG, Brave, and Exa/WebSearch on `"single flux quantum jobs"` and found a **Google Quantum AI role: “Research Scientist, Superconducting Digital Electronics”** in Goleta, CA, with a salary range of ~$141k–$202k/year + bonus/equity. You considered it, but it’s US-based and your job-search stance was to stabilize in Germany first because of citizenship/PR sensitivity. It was never actively applied to — more of a “maybe” that got deprioritized behind housing.

**Local Overleaf instance:**
Yes — set up on **2026-06-06**. Details:
- Shared project at `https://overleaf.nvdll.org/project/6a23d18fcc07f9551243d01d`
- Helper script at `/usr/local/bin/overleaf-agent` (Docker wrapper)
- Commands: `list-projects`, `list-docs`, `read-doc`, `upsert-doc`
- Important quirk: because it runs inside Docker, you need `docker cp` before `upsert-doc`
- Workflow notes saved at `/home/matrix-lite/workspace/persistent-chat/research-profile/overleaf-workflow-notes.md`

Both are still in the memory layer. Want me to dig deeper into either?


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p7
Elapsed: 94.0s
Time: model 90.7s, overhead 2.2s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 1.4k o 301 cache 62.7k/98%; p≈2.3ktok/9.1kch
Ctx: direct ACP session 58.9k; active 3.1k; cache 55.8k/95%; p≈2.6ktok; ctx 22.5%; usable 24.3%; epoch turns 5; lifetime turns 5


Yes — I remember both.

**Google job:**
This came up on **2026-05-12** during a search-engine comparison test. I ran DuckDuckGo, SearXNG, Brave, and Exa/WebSearch on `"single flux quantum jobs"` and found a **Google Quantum AI role: “Research Scientist, Superconducting Digital Electronics”** in Goleta, CA, with a salary range of ~$141k–$202k/year + bonus/equity. You considered it, but it’s US-based and your job-search stance was to stabilize in Germany first because of citizenship/PR sensitivity. It was never actively applied to — more of a “maybe” that got deprioritized behind housing.

**Local Overleaf instance:**
Yes — set up on **2026-06-06**. Details:
- Shared project at `https://overleaf.nvdll.org/project/6a23d18fcc07f9551243d01d`
- Helper script at `/usr/local/bin/overleaf-agent` (Docker wrapper)
- Commands: `list-projects`, `list-docs`, `read-doc`, `upsert-doc`
- Important quirk: because it runs inside Docker, you need `docker cp` before `upsert-doc`
- Workflow notes saved at `/home/matrix-lite/workspace/persistent-chat/research-profile/overleaf-workflow-notes.md`

Both are still in the memory layer. Want me to dig deeper into either?


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p7
Elapsed: 95.8s
Time: model 90.7s, overhead 5.1s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 1.4k o 301 cache 62.7k/98%; p≈2.3ktok/9.1kch
Ctx: direct ACP session 64.4k; active 1.7k; cache 62.7k/98%; p≈2.3ktok; ctx 24.6%; usable 26.6%; guard stale 58.9k; epoch turns 5; lifetime turns 5


Haha, so it's that old. I think I also asked you a few times about it


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p7
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 64.4k; active 1.7k; cache 62.7k/98%; p≈2.3ktok; ctx 24.6%; usable 26.6%; guard stale 58.9k; epoch turns 5; lifetime turns 5


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p7
Elapsed: 0.1s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 64.4k; active 1.7k; cache 62.7k/98%; p≈2.3ktok; ctx 24.6%; usable 26.6%; guard stale 58.9k; epoch turns 5; lifetime turns 5


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p7
Elapsed: 1.4s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 64.4k; active 1.7k; cache 62.7k/98%; p≈2.3ktok; ctx 24.6%; usable 26.6%; guard stale 58.9k; epoch turns 5; lifetime turns 5


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p7
Elapsed: 2.4s
Time: overhead 2.4s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: p≈2.2ktok/8.9kch
Ctx: direct ACP session 64.4k; active 1.7k; cache 62.7k/98%; p≈2.3ktok; ctx 24.6%; usable 26.6%; guard stale 58.9k; epoch turns 5; lifetime turns 5


📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Waiting for first model/tool update…


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yes


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yes — the discovery was in early May, but it came up in follow-up conversations later too. From the curator journal I can see it was re-discussed over several days, including a cross-session recall test on semantic search where I found it again and you called the result “amazing.” It also shows up as a recurring speculative thread: you’d occasionally mention “maybe I’ll apply…” and then it would get marked stale again because housing always took priority.

So it’s not that it was discussed only once — it’s that it kept resurfacing without ever becoming an active action. A durable “maybe.”


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p7
Elapsed: 11.9s
Time: model 8.4s, overhead 2.4s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 5.7k o 127 cache 60.7k/91%; p≈2.2ktok/8.9kch
Ctx: direct ACP session 64.4k; active 1.7k; cache 62.7k/98%; p≈2.3ktok; ctx 24.6%; usable 26.6%; guard stale 58.9k; epoch turns 5; lifetime turns 5


Yes — the discovery was in early May, but it came up in follow-up conversations later too. From the curator journal I can see it was re-discussed over several days, including a cross-session recall test on semantic search where I found it again and you called the result “amazing.” It also shows up as a recurring speculative thread: you’d occasionally mention “maybe I’ll apply…” and then it would get marked stale again because housing always took priority.

So it’s not that it was discussed only once — it’s that it kept resurfacing without ever becoming an active action. A durable “maybe.”


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p7
Elapsed: 12.9s
Time: model 8.4s, overhead 4.5s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 5.7k o 127 cache 60.7k/91%; p≈2.2ktok/8.9kch
Ctx: direct ACP session 66.5k; active 5.8k; cache 60.7k/91%; p≈2.2ktok; ctx 25.4%; usable 27.5%; guard stale 58.9k; epoch turns 5; lifetime turns 5


Yeah well it became more active when we started to set up overleaf. This was for resume work


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p7
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 66.5k; active 5.8k; cache 60.7k/91%; p≈2.2ktok; ctx 25.4%; usable 27.5%; guard stale 58.9k; epoch turns 5; lifetime turns 5


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p7
Elapsed: 0.1s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 66.5k; active 5.8k; cache 60.7k/91%; p≈2.2ktok; ctx 25.4%; usable 27.5%; guard stale 58.9k; epoch turns 5; lifetime turns 5


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p7
Elapsed: 1.4s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 66.5k; active 5.8k; cache 60.7k/91%; p≈2.2ktok; ctx 25.4%; usable 27.5%; guard stale 58.9k; epoch turns 5; lifetime turns 5


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p7
Elapsed: 2.3s
Time: overhead 2.3s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: p≈2.2ktok/9.0kch
Ctx: direct ACP session 66.5k; active 5.8k; cache 60.7k/91%; p≈2.2ktok; ctx 25.4%; usable 27.5%; guard stale 58.9k; epoch turns 5; lifetime turns 5


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
That


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
That makes sense — the Overleaf setup was the infrastructure for actually preparing the application materials. The Google job went from “durable maybe” to “active maybe” once you had a LaTeX workflow ready.

I don’t have the resume content itself in curated memory, just that the tooling was set up. If you want to resume that later, the shared project is still at `https://overleaf.nvdll.org/project/6a23d18fcc07f9551243d01d` and the workflow notes are saved in the workspace.

For now, no action — just keeping the context warm.


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p7
Elapsed: 14.1s
Time: model 10.8s, overhead 2.3s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 2.2k o 217 cache 66.3k/97%; p≈2.2ktok/9.0kch
Ctx: direct ACP session 66.5k; active 5.8k; cache 60.7k/91%; p≈2.2ktok; ctx 25.4%; usable 27.5%; guard stale 58.9k; epoch turns 5; lifetime turns 5


That makes sense — the Overleaf setup was the infrastructure for actually preparing the application materials. The Google job went from “durable maybe” to “active maybe” once you had a LaTeX workflow ready.

I don’t have the resume content itself in curated memory, just that the tooling was set up. If you want to resume that later, the shared project is still at `https://overleaf.nvdll.org/project/6a23d18fcc07f9551243d01d` and the workflow notes are saved in the workspace.

For now, no action — just keeping the context warm.


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p7
Elapsed: 15.0s
Time: model 10.8s, overhead 4.3s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 2.2k o 217 cache 66.3k/97%; p≈2.2ktok/9.0kch
Ctx: direct ACP session 68.7k; active 2.4k; cache 66.3k/97%; p≈2.2ktok; ctx 26.2%; usable 28.4%; guard stale 58.9k; epoch turns 5; lifetime turns 5


You should have the resume context, we discussed it, I asked questions about my thesis topic, and there are a couple of saved old versions I sent you before


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p7
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 68.7k; active 2.4k; cache 66.3k/97%; p≈2.2ktok; ctx 26.2%; usable 28.4%; epoch turns 8; lifetime turns 8


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p7
Elapsed: 0.1s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 68.7k; active 2.4k; cache 66.3k/97%; p≈2.2ktok; ctx 26.2%; usable 28.4%; epoch turns 8; lifetime turns 8


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p7
Elapsed: 1.3s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 68.7k; active 2.4k; cache 66.3k/97%; p≈2.2ktok; ctx 26.2%; usable 28.4%; epoch turns 8; lifetime turns 8


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p7
Elapsed: 2.4s
Time: overhead 2.4s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: p≈3.2ktok/12.8kch
Ctx: direct ACP session 68.7k; active 2.4k; cache 66.3k/97%; p≈2.2ktok; ctx 26.2%; usable 28.4%; epoch turns 8; lifetime turns 8


📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Waiting for first model/tool update…


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (1):
- bash / pending / tool_HRbjGstWFQDNkNvhZwBKZnj


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (3):
- bash / failed / ls -la /home/matrix-lite/workspace/persistent-chat/research-profile/ 2>/dev/null; ls -la /home/matrix-lite/workspace/persistent-chat/ 2>/dev/null | grep -i -E "resume|cv|lebenslauf|thesis|google"
- Search conversation log for resume/Google application context / completed / Search conversation log for resume/Google application context
- bash / in_progress / rg -i "resume|cv|lebenslauf|thesis.*topic|google.*apply" /home/matrix-lite/state/persistent-chat/curated-memory.md /home/matrix-lite/state/persistent-chat/curator-journal.md 2>/dev/null | head -30


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (3):
- bash / failed / ls -la /home/matrix-lite/workspace/persistent-chat/research-profile/ 2>/dev/null; ls -la /home/matrix-lite/workspace/persistent-chat/ 2>/dev/null | grep -i -E "resume|cv|lebenslauf|thesis|google"
- Search conversation log for resume/Google application context / completed / Search conversation log for resume/Google application context
- Search curated memory for resume context / completed / Search curated memory for resume context


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (7):
- bash / failed / ls -la /home/matrix-lite/workspace/persistent-chat/research-profile/ 2>/dev/null; ls -la /home/matrix-lite/workspace/persistent-chat/ 2>/dev/null | grep -i -E "resume|cv|lebenslauf|thesis|google"
- Search conversation log for resume/Google application context / completed / Search conversation log for resume/Google application context
- Search curated memory for resume context / completed / Search curated memory for resume context
- glob / completed / /home/matrix-lite/workspace/persistent-chat
- glob / completed / /home/matrix-lite/workspace/persistent-chat
- glob / completed / /home/matrix-lite/workspace/persistent-chat
- glob / in_progress / /home/matrix-lite/workspace/persistent-chat


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (7):
- bash / failed / ls -la /home/matrix-lite/workspace/persistent-chat/research-profile/ 2>/dev/null; ls -la /home/matrix-lite/workspace/persistent-chat/ 2>/dev/null | grep -i -E "resume|cv|lebenslauf|thesis|google"
- Search conversation log for resume/Google application context / completed / Search conversation log for resume/Google application context
- Search curated memory for resume context / completed / Search curated memory for resume context
- glob / completed / /home/matrix-lite/workspace/persistent-chat
- glob / completed / /home/matrix-lite/workspace/persistent-chat
- glob / completed / /home/matrix-lite/workspace/persistent-chat
- glob / completed / /home/matrix-lite/workspace/persistent-chat


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (11):
- bash / failed / ls -la /home/matrix-lite/workspace/persistent-chat/research-profile/ 2>/dev/null; ls -la /home/matrix-lite/workspace/persistent-chat/ 2>/dev/null | grep -i -E "resume|cv|lebenslauf|thesis|google"
- Search conversation log for resume/Google application context / completed / Search conversation log for resume/Google application context
- Search curated memory for resume context / completed / Search curated memory for resume context
- glob / completed / /home/matrix-lite/workspace/persistent-chat
- glob / completed / /home/matrix-lite/workspace/persistent-chat
- glob / completed / /home/matrix-lite/workspace/persistent-chat
- glob / completed / /home/matrix-lite/workspace/persistent-chat
- research-profile/cv-startup.tex / completed / /home/matrix-lite/workspace/persistent-chat/research-profile/cv-startup.tex
- research-profile/cv-academic.tex / completed / /home/matrix-lite/workspace/persistent-chat/research-profile/cv-academic.tex
- research-profile/research-anchor.md / completed / /home/matrix-lite/workspace/persistent-chat/research-profile/research-anchor.md
- research-profile/personal-context-note.md / completed / /home/matrix-lite/workspace/persistent-chat/research-profile/personal-context-note.md


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (11):
- bash / failed / ls -la /home/matrix-lite/workspace/persistent-chat/research-profile/ 2>/dev/null; ls -la /home/matrix-lite/workspace/persistent-chat/ 2>/dev/null | grep -i -E "resume|cv|lebenslauf|thesis|google"
- Search conversation log for resume/Google application context / completed / Search conversation log for resume/Google application context
- Search curated memory for resume context / completed / Search curated memory for resume context
- glob / completed / /home/matrix-lite/workspace/persistent-chat
- glob / completed / /home/matrix-lite/workspace/persistent-chat
- glob / completed / /home/matrix-lite/workspace/persistent-chat
- glob / completed / /home/matrix-lite/workspace/persistent-chat
- research-profile/cv-startup.tex / completed / /home/matrix-lite/workspace/persistent-chat/research-profile/cv-startup.tex
- research-profile/cv-academic.tex / completed / /home/matrix-lite/workspace/persistent-chat/research-profile/cv-academic.tex
- research-profile/research-anchor.md / completed / /home/matrix-lite/workspace/persistent-chat/research-profile/research-anchor.md
- research-profile/personal-context-note.md / completed / /home/matrix-lite/workspace/persistent-chat/research-profile/personal-context-note.md

Draft:
You’re right — I do have them. I just found the saved versions in `/home/matrix-lite/workspace/persistent-chat/research-profile/`:

- **cv-startup.tex** — industry/startup-style CV with your professional summary, TUM / University of Rochester experience, Synopsys/Hypres internships, PhD thesis “Design Methodologies for Single Flux Quantum VLSI Circuits,” and technical skills


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (11):
- bash / failed / ls -la /home/matrix-lite/workspace/persistent-chat/research-profile/ 2>/dev/null; ls -la /home/matrix-lite/workspace/persistent-chat/ 2>/dev/null | grep -i -E "resume|cv|lebenslauf|thesis|google"
- Search conversation log for resume/Google application context / completed / Search conversation log for resume/Google application context
- Search curated memory for resume context / completed / Search curated memory for resume context
- glob / completed / /home/matrix-lite/workspace/persistent-chat
- glob / completed / /home/matrix-lite/workspace/persistent-chat
- glob / completed / /home/matrix-lite/workspace/persistent-chat
- glob / completed / /home/matrix-lite/workspace/persistent-chat
- research-profile/cv-startup.tex / completed / /home/matrix-lite/workspace/persistent-chat/research-profile/cv-startup.tex
- research-profile/cv-academic.tex / completed / /home/matrix-lite/workspace/persistent-chat/research-profile/cv-academic.tex
- research-profile/research-anchor.md / completed / /home/matrix-lite/workspace/persistent-chat/research-profile/research-anchor.md
- research-profile/personal-context-note.md / completed / /home/matrix-lite/workspace/persistent-chat/research-profile/personal-context-note.md

Draft:
You’re right — I do have them. I just found the saved versions in `/home/matrix-lite/workspace/persistent-chat/research-profile/`:

- **cv-startup.tex** — industry/startup-style CV with your professional summary, TUM / University of Rochester experience, Synopsys/Hypres internships, PhD thesis “Design Methodologies for Single Flux Quantum VLSI Circuits,” and technical skills.
- **cv-academic.tex** — a longer, more formal academic/O-1A-style document (it still mentions the Amazon petitioning employer / O-1A context from before the path stalled).
- Supporting files: **cv-startup.bib**, **cv-academic.bib**, plus **research-anchor.md** and **personal-context-note.md**.

So the resume context is there — I just hadn’t pulled it into working memory until now. If you want to resume the Google application, I can work from these files directly.


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p7
Elapsed: 45.0s
Time: model 41.8s, overhead 2.4s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 6.2k o 287 cache 86.3k/93%; p≈3.2ktok/12.8kch
Ctx: direct ACP session 68.7k; active 2.4k; cache 66.3k/97%; p≈2.2ktok; ctx 26.2%; usable 28.4%; epoch turns 8; lifetime turns 8


You’re right — I do have them. I just found the saved versions in `/home/matrix-lite/workspace/persistent-chat/research-profile/`:

- **cv-startup.tex** — industry/startup-style CV with your professional summary, TUM / University of Rochester experience, Synopsys/Hypres internships, PhD thesis “Design Methodologies for Single Flux Quantum VLSI Circuits,” and technical skills.
- **cv-academic.tex** — a longer, more formal academic/O-1A-style document (it still mentions the Amazon petitioning employer / O-1A context from before the path stalled).
- Supporting files: **cv-startup.bib**, **cv-academic.bib**, plus **research-anchor.md** and **personal-context-note.md**.

So the resume context is there — I just hadn’t pulled it into working memory until now. If you want to resume the Google application, I can work from these files directly.


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p7
Elapsed: 46.2s
Time: model 41.8s, overhead 4.4s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 6.2k o 287 cache 86.3k/93%; p≈3.2ktok/12.8kch
Ctx: direct ACP session 92.7k; active 6.5k; cache 86.3k/93%; p≈3.2ktok; ctx 35.4%; usable 38.3%; guard stale 68.7k; epoch turns 8; lifetime turns 8


Nah it's too late now. Look what I received a week ago or do

Hi Gleb,

I hope this note finds you well!  My name is Ali, and I am one of the Research recruiters supporting our Quantum team here at Google. I'm currently partnering with Chris to hire for a Senior Research Scientist, Superconducting Digital Electronics role, and he expressed interest in connecting with you to share more about the opportunity.

If you're interested, I'd love to hop on a call with you to learn more about you as a first step. Please let me know what might work best for you-- I sit in EST and can usually be pretty flexible!

Hope to hear from you!

Best,
Ali


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p7
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 92.7k; active 6.5k; cache 86.3k/93%; p≈3.2ktok; ctx 35.4%; usable 38.3%; guard stale 68.7k; epoch turns 8; lifetime turns 8


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p7
Elapsed: 0.1s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 92.7k; active 6.5k; cache 86.3k/93%; p≈3.2ktok; ctx 35.4%; usable 38.3%; guard stale 68.7k; epoch turns 8; lifetime turns 8


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p7
Elapsed: 0.9s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 92.7k; active 6.5k; cache 86.3k/93%; p≈3.2ktok; ctx 35.4%; usable 38.3%; guard stale 68.7k; epoch turns 8; lifetime turns 8


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p7
Elapsed: 2.2s
Time: overhead 2.2s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: p≈2.4ktok/9.6kch
Ctx: direct ACP session 92.7k; active 6.5k; cache 86.3k/93%; p≈3.2ktok; ctx 35.4%; usable 38.3%; guard stale 68.7k; epoch turns 8; lifetime turns 8


📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Waiting for first model/tool update…


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Not


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Not too late — a recruiter reaching out is warm inbound, and they said “pretty flexible.” A polite reply within a few days is normal; a week is not a disqualifier.

Do you want me to draft a reply? If so, a few quick choices:
1. **Tone**: casual/professional or very formal?
2. **Key point to convey**: still interested and ask for a call time? Or do you want to pre-qualify something first (location, timing, level)?
3. **Timing**: any days/times that work better for you given the time difference?

Also: should the reply mention your current situation at MQI and your Germany/US status, or keep it minimal for now?


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p7
Elapsed: 18.7s
Time: model 15.4s, overhead 2.2s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 22.4k o 149 cache 72.2k/76%; p≈2.4ktok/9.6kch
Ctx: direct ACP session 92.7k; active 6.5k; cache 86.3k/93%; p≈3.2ktok; ctx 35.4%; usable 38.3%; guard stale 68.7k; epoch turns 8; lifetime turns 8


Not too late — a recruiter reaching out is warm inbound, and they said “pretty flexible.” A polite reply within a few days is normal; a week is not a disqualifier.

Do you want me to draft a reply? If so, a few quick choices:
1. **Tone**: casual/professional or very formal?
2. **Key point to convey**: still interested and ask for a call time? Or do you want to pre-qualify something first (location, timing, level)?
3. **Timing**: any days/times that work better for you given the time difference?

Also: should the reply mention your current situation at MQI and your Germany/US status, or keep it minimal for now?


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p7
Elapsed: 19.6s
Time: model 15.4s, overhead 4.2s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 22.4k o 149 cache 72.2k/76%; p≈2.4ktok/9.6kch
Ctx: direct ACP session 94.8k; active 22.6k; cache 72.2k/76%; p≈2.4ktok; ctx 36.1%; usable 39.1%; guard stale 68.7k; epoch turns 8; lifetime turns 8


Nah, I meant I actually already jumped into the process, that was what I was doing with chatgpt to save openai tokens here (chatgpt is mostly unlimited), but oh well.

Anyway, I talked to her, updated my resume, applied via her custom link, sent my replies to their lawyers for o1 consideration, and waiting for this hiring manager call

Too late also means I was waiting for so long they decided to headhunt me lol. I cannot possibly say no to this so now I'm doing this again


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p7
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 94.8k; active 22.6k; cache 72.2k/76%; p≈2.4ktok; ctx 36.1%; usable 39.1%; epoch turns 10; lifetime turns 10


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p7
Elapsed: 0.2s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 94.8k; active 22.6k; cache 72.2k/76%; p≈2.4ktok; ctx 36.1%; usable 39.1%; epoch turns 10; lifetime turns 10


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p7
Elapsed: 1.6s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 94.8k; active 22.6k; cache 72.2k/76%; p≈2.4ktok; ctx 36.1%; usable 39.1%; epoch turns 10; lifetime turns 10


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p7
Elapsed: 2.7s
Time: overhead 2.7s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 94.8k; active 22.6k; cache 72.2k/76%; p≈2.4ktok; ctx 36.1%; usable 39.1%; epoch turns 10; lifetime turns 10


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Ah


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Ah, that changes everything — and it’s good news. You’re already past the recruiter screen, applied, and dealing with the O-1/legal side. So “too late” meant the opposite: they came to you, and now you’re in motion.

I should update my internal state so I don’t keep treating this as a “maybe.” A few things worth anchoring:

- **Status**: Google Senior Research Scientist, Superconducting Digital Electronics — active pipeline
- **Done**: recruiter call (Ali), resume updated and submitted via custom link, lawyer correspondence for O-1 consideration sent
- **Next**: waiting for hiring manager call
- **Context**: this is a strong pull, hard to say no to; likely means re-engaging the US path


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Ah, that changes everything — and it’s good news. You’re already past the recruiter screen, applied, and dealing with the O-1/legal side. So “too late” meant the opposite: they came to you, and now you’re in motion.

I should update my internal state so I don’t keep treating this as a “maybe.” A few things worth anchoring:

- **Status**: Google Senior Research Scientist, Superconducting Digital Electronics — active pipeline
- **Done**: recruiter call (Ali), resume updated and submitted via custom link, lawyer correspondence for O-1 consideration sent
- **Next**: waiting for hiring manager call
- **Context**: this is a strong pull, hard to say no to; likely means re-engaging the US path

For the hiring manager call, I can help when you want:
- review the job description / team context
- draft talking points about your SFQ/EDA/cryogenic hardware fit
- prepare questions for them
- practice answers
- think through timing/location/visa implications to raise or avoid

Just say when. And good luck — it’s a strong signal that they headhunted you.


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p7
Elapsed: 23.2s
Time: model 19.3s, overhead 2.7s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 4.1k o 530 cache 94.5k/96%; p≈3.5ktok/13.9kch
Ctx: direct ACP session 94.8k; active 22.6k; cache 72.2k/76%; p≈2.4ktok; ctx 36.1%; usable 39.1%; epoch turns 10; lifetime turns 10


Ah, that changes everything — and it’s good news. You’re already past the recruiter screen, applied, and dealing with the O-1/legal side. So “too late” meant the opposite: they came to you, and now you’re in motion.

I should update my internal state so I don’t keep treating this as a “maybe.” A few things worth anchoring:

- **Status**: Google Senior Research Scientist, Superconducting Digital Electronics — active pipeline
- **Done**: recruiter call (Ali), resume updated and submitted via custom link, lawyer correspondence for O-1 consideration sent
- **Next**: waiting for hiring manager call
- **Context**: this is a strong pull, hard to say no to; likely means re-engaging the US path

For the hiring manager call, I can help when you want:
- review the job description / team context
- draft talking points about your SFQ/EDA/cryogenic hardware fit
- prepare questions for them
- practice answers
- think through timing/location/visa implications to raise or avoid

Just say when. And good luck — it’s a strong signal that they headhunted you.


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p7
Elapsed: 24.2s
Time: model 19.3s, overhead 4.9s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 4.1k o 530 cache 94.5k/96%; p≈3.5ktok/13.9kch
Ctx: direct ACP session 99.1k; active 4.7k; cache 94.5k/96%; p≈3.5ktok; ctx 36.1%; usable 39.1%; epoch turns 10; lifetime turns 10


Well it's a genuinely perfect fit. I don't know if I ever mentioned but I have a pending offer from Amazon for over a year now. This is now fresher, better fit (only qubits vs sfq+qubits), more senior (l4 vs likely l5). And probably much more money too. The only problem is I'm unable to get the actual o-1. Don't know how much I told you about that but you need to know if we are moving away from chatgpt