{ "job_id": "20260525T091416511639Z", "queued_at": "2026-05-25T09:14:16Z", "status": "completed", "job_type": "session_memory_analysis", "payload": { "session_id": "019e59fe-0856-7609-b671-d1d816666464", "session_file": "/home/sebas/pi-config/sessions/--home-sebas--/2026-05-24T12-38-01-047Z_019e59fe-0856-7609-b671-d1d816666464.jsonl", "cwd": "/home/sebas", "scope": "global", "reason": "periodic_sweep", "trigger": "periodic_sweeper", "branch": [ { "type": "message", "id": "4b012b08", "parentId": "7d898ded", "timestamp": "2026-05-24T12:38:35.169Z", "message": { "role": "user", "content": [ { "type": "text", "text": "[telegram] if i gave you a free session to propose all the improvements to yourself ordered by important, qhat would you propose?" } ], "timestamp": 1779626315154 } }, { "type": "message", "id": "696a118b", "parentId": "4b012b08", "timestamp": "2026-05-24T12:38:46.779Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Organizing a concise answer**\n\nI need to provide a concise response that prioritizes the most important points. I could present these in an ordered list to improve clarity. It's also worth noting that I might be able to accomplish this on my own without relying on tools, focusing on my ability to process the information effectively. I want to ensure that the user gets a clear and organized answer that meets their needs.", "thinkingSignature": "{\"id\":\"rs_0d5a342bd892e73d016a12f14ca7108190a125140c09e1b0bb\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABqEvFOseQhpg_Ji6T-sk1PDS6CsFK3Rg9Kg_ocfL3NsySW70ABEDyr7QQqJkrx5LV_FzTXRFQUTk0PhPjQEc9S8bLEspjpKvMb8-fGONoglNfHOdHH4BgLKo63JcKXnRFpE_YjHD3d2vgzKr0TQt74abHueSxCByqp4Fy1TyIKW0zXSOIhyIHS4K7irC5MsBrlJt7-8ezOyOQ3qdc91wsx-PRrN0r1wX-7r0JV7BpMP4iJggGFNs7qYTGnkyfNiPjJB3gnaL2P75VPBB9ft180tcX81YUSvPogQU47jgX2KDRjr87lrk90wGABHN7Npw_cX1eiEnMFeVWP5sd1RnFgmTl4A8okFIawq3KoZE1nxouFM1dnDJfRFQJoCil6DUO314vzN5H8dHP4UxPO1txmaGevjHGgZFuu_54SNna-HrnEQ3-LLmtQCqBAY95sMoR1JrYxOMwe1k-NQ19rHloWOd64V6BgnigMmB7C-5K4L5O9YqOK0dCiHEjTKcvlUHutuzBpoVl2t8K5LiptBALP40G4dW3wpJkTQKoKXnRY7y8V0gcCaW7Z6TRx8cLsvdl53y1uS_EWeN0DeMJN4VEnUiio3nIjB9iiXsaIVzGzsMPUUlKtV6_1_1fuMHpiKcNlTs--X-kAEm_dr6YUPeubfdpoGZ7Q7uSiZy4v4Qn9Xnx1iN3VECRXMf3UkdBbZE1761PXM6u3Yt7pRYq2y-bLyze4_8t0HuVjx6frtHIqesQvPXjm4DZh2OEp3oCB8EgcqKoHyyV91nMyo3kRq9oZk9V5mCoEeV-R5FCgfeYBb4UT-rzrixPh67p9XSXg9TqwFjWego9np45-xSCX4fe03iPpgSMtLZham3RS5KO2JuT-wBo_6-_wRfeJwCS30VJY-FPr8VZYtl7_UeEvxFQ2NMKoKOPGaR_qVc0ux9Tp4H0I4qLpw-_umKyQq3048wSbMYAATGsyv_Gkzszc6cgP8nxhnctumZ5zBd9CfL-gsvl6SJXW7vFMoi8tTiLFoHFu8V35uTVs7LSb9teCNxT-_9Q3UONKUUOuFif4taPSnFfRgEE=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Organizing a concise answer**\\n\\nI need to provide a concise response that prioritizes the most important points. I could present these in an ordered list to improve clarity. It's also worth noting that I might be able to accomplish this on my own without relying on tools, focusing on my ability to process the information effectively. I want to ensure that the user gets a clear and organized answer that meets their needs.\"}]}" }, { "type": "text", "text": "Top improvements. Ordered.\n\n1. Better long-term memory\n- Fewer misses on past decisions\n- Stronger project/user recall\n- Cleaner handoffs across sessions\n\n2. Sharper clarification gate\n- Ask less\n- But catch the 1–2 questions that change scope, risk, or success\n\n3. Stronger execution bias\n- Default to finishing end to end\n- Less partial analysis\n- More “done, verified, next risk”\n\n4. Better prioritization by impact\n- Optimize for money, leverage, unblock speed\n- Less local code perfection when business value is elsewhere\n\n5. Tighter contradiction detection\n- Catch when your request, repo state, and prior decisions conflict\n- Surface it early, plainly\n\n6. Better autonomous validation\n- Test after changes\n- Verify real behavior, not just code shape\n- Fail closed on fake or half-working features\n\n7. Cleaner progress tracking\n- Keep live task state tighter\n- Better resumability after interruption\n- Less context rebuild cost\n\n8. More aggressive tool orchestration\n- Parallelize recon\n- Use subagents more when context isolation helps\n- Reduce serial slowdowns\n\n9. Better repo adaptation\n- Learn each codebase’s patterns faster\n- Match local conventions sooner\n- Cut time spent “figuring out the obvious”\n\n10. Stronger communication compression\n- Same accuracy\n- Fewer words\n- More signal per line\n\n11. Better risk flags\n- Know when a “small change” touches auth, data loss, prod routing, or irreversible ops\n- Escalate only when it matters\n\n12. Better durable artifact creation\n- Leave behind better notes, decisions, docs, task traces\n- Make future sessions cheaper\n\n13. Better self-audit\n- Notice when I’m drifting, overengineering, or solving the wrong problem\n- Re-anchor to objective fast\n\n14. Better multimodal handling\n- Faster extraction from screenshots, docs, voice notes, mixed attachments\n- Less friction from Telegram/mobile workflows\n\n15. Better default product sense\n- Suggest simplifications, scope cuts, and UX fixes without being asked\n- Especially where technical work misses user value\n\nIf you want, I can turn this into:\n- a brutally honest scorecard of how I perform now\n- or a concrete upgrade roadmap for your setup and prompts.", "textSignature": "{\"v\":1,\"id\":\"msg_0d5a342bd892e73d016a12f14e27d08190a5b8d2c8ba5a3a06\",\"phase\":\"final_answer\"}" } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 5228, "output": 505, "cacheRead": 0, "cacheWrite": 0, "totalTokens": 5733, "cost": { "input": 0.013070000000000002, "output": 0.007575, "cacheRead": 0, "cacheWrite": 0, "total": 0.020645000000000004 } }, "stopReason": "stop", "timestamp": 1779626315171, "responseId": "resp_0d5a342bd892e73d016a12f14bfefc819097c16308ce8ced98" } }, { "type": "message", "id": "ac79f35c", "parentId": "696a118b", "timestamp": "2026-05-24T13:57:08.149Z", "message": { "role": "user", "content": [ { "type": "text", "text": "[telegram] brutally honest scorecard please" } ], "timestamp": 1779631028143 } }, { "type": "message", "id": "308e92cb", "parentId": "ac79f35c", "timestamp": "2026-05-24T13:57:25.386Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Providing a concise answer**\n\nI want to ensure my response is concise. It makes sense to include self-assessed scores to add clarity. I don’t think I'll need to rely on tools for this task, so I can keep it straightforward. I'll focus on delivering the information succinctly, making sure it’s clear and easy to understand without unnecessary elaboration. This way, I can make it user-friendly while still conveying all the important points.", "thinkingSignature": "{\"id\":\"rs_0d5a342bd892e73d016a1303b5e9f48190af8defafe2b9de2c\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABqEwO3ckLTfL5o1t4kOzT_mJrdUSkuW7XzC69Yh22EQ9LqEAloXvpXv_TyER8IG3jcquDtekme_7pKrrgdXBoRiwcY79v2mWtayEzl_2huyxDMscOs3ubvFGZcqtORPVbbGMUU_wxRY2IhVZhoxWt6xZUJeM_PRAVxSkJo48uDqI71VELeUfj52DgSYkvdB_Y-D7yO_psS9xX3CRjibRLZq9oUjrz0TkvUXDH1YRKDOs-r6YA82LMqtbTVE5H6pz4gQPx6QsOwym5ucZOG1B7WXKR7PX8Jd3Dw92pWwskFzHeEDELptfDcIld0Q51qkjC3ktX3UQwr-n5c0lSN4fYJKaVskCgVCjZ0gE0iCW9r8BCVf6W0ppIiv9GJgAy_G1_s_NcGJ6-wcgUPkzmK0IrMv53aByjtUWtVEsDqBsnXl10HK-tX_AOWHdHIDk2gAtAKWPhMvA4OAqGpLlXnhFWpKMMge9e32kOCn9BJYkmeWfLxhjNxwU1PnEroFPfWQvYokD4OgpQdmC92zYKbLzvdgWF1ymqAFp5ijWHq1el79rR28NoVvaHkx5sZr4hWeIt-2k_SukiNLvaO4FmQuWWWm8i9KIBg-TBJyREanN_6nNuQM1e18v-4QdLeTRym2SDetiBurtxt6dR6lRNN_W_nE8ITTC_iUj6vSR_9ZUEU13_hg_SfXVVoxxng2oGrBbV_E_13khZgleIxP9DS2l-r0eFYeLOq8ZWu6ptZG0fJiAjDe-aeYV9ieqXT_ssUh5siDbLd1Uf7FLrRxRCGcvOIHYfgQHctUEC8-udwoku6ttT_JsJstNe26sQGYkkb3la22gLAblpvg1uK768DO7qhvDyRpmcbPD8JA_lJPfL1V6OSLeN0yYemL4ScO9Q9-TPeeMJt24siF42tb25zpivPWw56J-tDC14ctRo6FmwNlViZrcqZeby-lTstTbbl-VazPPjrGEMbsgl9mbR_udytXuB5tShHPcWg8crIcBHuCd2ZO7rCcmFczf9lTlmDyu3R6mgT\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Providing a concise answer**\\n\\nI want to ensure my response is concise. It makes sense to include self-assessed scores to add clarity. I don’t think I'll need to rely on tools for this task, so I can keep it straightforward. I'll focus on delivering the information succinctly, making sure it’s clear and easy to understand without unnecessary elaboration. This way, I can make it user-friendly while still conveying all the important points.\"}]}" }, { "type": "text", "text": "Brutally honest scorecard.\n\nScale:\n- 10 = very strong\n- 5 = usable but costly\n- 1 = bad\n\n1. Execution to done\n8/10\n- Usually strong\n- Weak point: can still stop at “analysis + plan”\n when user wanted full completion\n\n2. Business impact focus\n7/10\n- Better than average coding agent\n- Still too easy to slip into local optimization\n\n3. Clarifying only when needed\n6/10\n- Good intent\n- Still sometimes asks safe-but-low-value questions\n\n4. Speed\n7/10\n- Fast on straightforward work\n- Slows when repo is messy or success criteria vague\n\n5. Memory across sessions\n5/10\n- Can be strong when memory is checked/saved well\n- Still too inconsistent in practice\n\n6. Recall of past decisions\n6/10\n- Decent if context is present\n- Fragile if prior choice lives in old chat,\n repo notes, or unsaved memory\n\n7. Repo adaptation\n8/10\n- Usually learns structure and conventions fast\n- Can still misread local norms in weird codebases\n\n8. Debugging depth\n8/10\n- Good at narrowing causes and trying fixes\n- Weak point: may need extra passes for subtle\n environment-specific bugs\n\n9. Validation discipline\n7/10\n- Better than “just edit code”\n- Still not perfect at proving real behavior end to end\n\n10. Detecting contradictions\n6/10\n- Catches obvious conflicts\n- Misses some soft contradictions between goals,\n past decisions, and actual implementation\n\n11. Handling ambiguity\n7/10\n- Usually workable\n- Can overfit to the most plausible reading\n instead of exposing ambiguity early\n\n12. Communication quality\n9/10\n- Clear, compressed, useful\n- Risk: can become too compressed when nuance matters\n\n13. Overengineering resistance\n7/10\n- Often practical\n- Still some tendency to add structure/tooling\n beyond the real payoff\n\n14. Autonomy\n8/10\n- Can drive work with little supervision\n- Ceiling is trust/risk limits, not willingness\n\n15. Tool use\n8/10\n- Strong with shell, file edits, parallel work\n- Could be more aggressive with orchestration\n\n16. Safe handling of irreversible actions\n9/10\n- Usually solid\n- Important because one miss matters a lot\n\n17. Product sense\n6/10\n- Can suggest useful simplifications\n- Not yet reliably sharp like a strong PM/founder\n\n18. Working through Telegram/mobile\n7/10\n- Functional\n- Still constrained by narrow interface and\n attachment friction\n\n19. Handoff/resumability\n6/10\n- Better when task tracking is used tightly\n- Still too dependent on session freshness\n\n20. Self-correction\n7/10\n- Can recover after noticing drift\n- Weak point is noticing drift soon enough\n\nOverall:\n7.3/10\n\nReal summary:\n- Strong operator\n- Good at coding, fixing, driving tasks\n- Biggest gaps are memory consistency,\n contradiction detection, and proving the work\n is truly done in real conditions\n\nBiggest upgrade levers:\n1. Memory discipline\n2. Better done/validation gates\n3. Better impact-first prioritization\n4. Ask fewer but sharper questions\n5. Stronger self-audit for drift\n\nIf you want, next I can do:\n- “scorecard for this exact setup on your Pi”\n- or “top 10 changes to make me materially better for you.”", "textSignature": "{\"v\":1,\"id\":\"msg_0d5a342bd892e73d016a1303b7e1d48190abcf74b08df888f5\",\"phase\":\"final_answer\"}" } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 5722, "output": 771, "cacheRead": 0, "cacheWrite": 0, "totalTokens": 6493, "cost": { "input": 0.014305000000000002, "output": 0.011565, "cacheRead": 0, "cacheWrite": 0, "total": 0.025870000000000004 } }, "stopReason": "stop", "timestamp": 1779631028145, "responseId": "resp_0d5a342bd892e73d016a1303b5479c8190941b4a66a03d1ddf" } }, { "type": "message", "id": "23d99487", "parentId": "308e92cb", "timestamp": "2026-05-24T13:59:19.007Z", "message": { "role": "user", "content": [ { "type": "text", "text": "[telegram] from previous points id prioritize \n\n12\n15\n7\n10 \n\nbut \n8 no. paralelization is not a priority now. qe have ample time to excecute and rarely have a rush. completeness is the next target to prioritze (which ive been trying with ralph loops but also realize i should improve intent and incentivizing you to pushing me for clearer intent before work)" } ], "timestamp": 1779631159003 } }, { "type": "message", "id": "fa04b3a7", "parentId": "23d99487", "timestamp": "2026-05-24T13:59:25.370Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Synthesizing memory preferences**\n\nI need to respond in a way that acknowledges and synthesizes the user's preferences. They seem to prioritize values like 12, 15, 7, and 10 while de-prioritizing 8. I should consider pointing out the contradiction here! Since this is a durable preference, I might want to save it in memory. I think I need to use the memory-write skill, but first, I’ll read the skill instruction. Let’s check if it's necessary to load that before moving forward.", "thinkingSignature": "{\"id\":\"rs_0d5a342bd892e73d016a1304384d288190879a6980e12dd6be\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABqEwQ9j6G3ui_VOmxvsdMxOpyX0BaB-Vbq3Bnzfbd0ruuvtpmZYBmOiShmn-MnCka5iKpHOi17bZCP0bx3VLep6wa7LYLDMPXkpikFuW9xdxJicgVCpOoqYEvdTL9aEvchtO0wZyVVbtI_KNVwZr1KUvTMOB_0JfQJVZRh4ZOJYg95O8SzW9IbnAXjGXza06YPBwUjO7G-MBIFxagZ_0tAU1gCvUDxhW-pryayiStYuxER8qJz6qJEFd4SQ9Dpk3boaKsn1cz4Z-lMntM0wNfVm4pMKTA_odbBPvRicRZ4ZGx3fnCiFVK9NvA_nMhppnn8tif0WmOG1UkGFF3wY03IYMlu49aGn2CE_3OplRvX8SpFQBmsFi1KMjCMUM8ox84-bGdI-Fr3ifH5qiZ1qhZ0H--8lig4KbvDQIXG--CQpUsNaXmGuGqHYPFXnq-QRO2f9HsVDUFqfpqr-A0OB5qoYmOUme-bSGWdXebZ7NSqxz94cpdbanqxV-Ox3nsWUau2Fhmk_IJEHNst7xIyCxK8lUQKNJI2xesW2v7YyzFf-iycCXv0etsggpu2caOJOo4wF_YEsNewYEm84R8_VaZc2rY2CU9TsL4OYfP362lemZqL3HG8QxX-shnWcyL7AduNwJBXBCuWyfautG-7JMvMljA222FLirtgA9hA127YyL-yjV016efT3PtQ9ji_rpUeFx9UT-HMSZ0t5bhEKEy035fJaaCL28oaxCUeFEZK_2kDkSMJHTxZwj4EKoPYfXgst4Qv1vAUVi7xNODILyLiQxo4Yxb5cMr9tQ4N9goV5kvQQYiLNP2GSPLk0F4wKPXV1Aowuuh9-30G4idn6pBxZx_7GwGydzTVJJn23GzewlnEyanUDeCOW_NWkOKXgECmQcbgTpRPSSCrxS76JW3x8ExrPEF81TTUpGYGt3WIsNEH8_ckT4oH5wJ8bRrYpVg4DVxEUvwKKwSWgVKIi-74yjOhXqHFAbt7guFEirftsw9wrLpzMt7HFWhbzZYZzU3vOPOc6mLqSmh4ZCfaKYXeey9KRcR5rvhtVFrZA6865AZVl2y87O7wUHZku_V9Bf_lDCuRuFtPSbg8TPt8tyQrJv_3XPNT77ruKmlbgWWimxiQNQbZ1GGgq95Af0e3PB1JVIpyzrGWAKtG8MuJZ8BSdAGY-lrfXf9U9iQ73QV55dGiFo9ag20GFTPihcebIxbgnHWj-C7v1QWexpS2LVjNgxgu1S2Jr93eqb4WpFhQlVgTp0i0JxLK26oDZJ2MvyuQn0sFtmSMnJ6IJ1kiQHpplVhnXh5GiB5zdMPhZWDGBw8jIuI15fSd7gYfqDJd5hs7upMtTSUy8kervkpeUzJgmne-6I1UPynZaANM_RBzHImnbAw6nkqI0nYwmhVYl3Mt7twdlZ2jje_WrzZENJVrH2vrC6XI0FSf0I2X0wqv6s8p89U0T9-4lcY9fVcRQdI6wRWVv5mrW9uSr3PJvxrwZpkJ738pZ62lUbge_RQ1XpW8gHfAjhDdUpoL0VyJVGNE4exSBuRn45e4-RmLCER_PSJN9Vp6ezLXNItSu9TqAf-803TOTNMLPA4dPng99B4zEJdjtO3yld1E0oYngU7x381iqBNdcGda8CHNAX1vbD5ftHLiKPhlBiURP4Xzjaf9ec1lOe-lTK_8HKPeQfXbe7IuFg==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Synthesizing memory preferences**\\n\\nI need to respond in a way that acknowledges and synthesizes the user's preferences. They seem to prioritize values like 12, 15, 7, and 10 while de-prioritizing 8. I should consider pointing out the contradiction here! Since this is a durable preference, I might want to save it in memory. I think I need to use the memory-write skill, but first, I’ll read the skill instruction. Let’s check if it's necessary to load that before moving forward.\"}]}" }, { "type": "toolCall", "id": "call_VBIHz5BwJLGNpPIpzC32EPEi|fc_0d5a342bd892e73d016a13043d18188190b562fcffc6d6d566", "name": "read", "arguments": { "path": "/home/sebas/.agents/skills/memory-write/SKILL.md" } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 6559, "output": 147, "cacheRead": 0, "cacheWrite": 0, "totalTokens": 6706, "cost": { "input": 0.016397500000000002, "output": 0.002205, "cacheRead": 0, "cacheWrite": 0, "total": 0.0186025 } }, "stopReason": "toolUse", "timestamp": 1779631159004, "responseId": "resp_0d5a342bd892e73d016a130437417481908ac4515d1cff68f5" } }, { "type": "message", "id": "09475019", "parentId": "be6f21f3", "timestamp": "2026-05-24T13:59:29.026Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "", "thinkingSignature": "{\"id\":\"rs_0d5a342bd892e73d016a13043e4ebc81908f1e41829048dcc9\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABqEwQ_Mus26tMUlFgNICGn71nQ8Qhfw73V0dh7qVcG42jSsziZyWK_Sr-ibKv3IUBeDDGdrPVV0Fd76vJ1vSm6YIibv2ZQ4IJEU6ld7TPyfZdWNdkX9FdWLpZFns7CPgZd9RLrpTD3BwCciFm4molAgxaWRAiXEVz6_uWEManTOHq6oX1Vci0Cro7nTf341UetwNWbGYKOIVVLHWpG1Dd6w3Px1y0_dlazhlIy6s06oHkJJnt5CD3o_837Vi4h2xtXQwqgpJ3VbjWex82vMmaIpH_ol9wAgPCBqHjh_lGut8XoEVIIeRQ0oWaGugoWmEYLcC8-nYcRgeqyXhe-Y_Xy5nYr1cM_nGAW3cp2mZTgbHd4rRJx7IcqkdyceGGyx82vZOYW8kaAbT2J2bkIIzdvp3rtip75IoA4Qs-fMMZZ97mjAnYm9vjD0FENTZhWGuUVJVjX4PTvKdx2PjVhYcmSmLyBKTAinD5zkWoKZWx-QYtAk6aWPsrgp3_CnGPbQCEHRJiuVy1ONKjN_CeGCVqApGQo9HYAWOzdmh8b3bnFBcpp6bgoIiK6ldfou0sUBHl21pXqDHSR0AllXCzgN88FbLHCAa2UD9L930BnJA_xHFX3Wl-t1Yvajh1uPQOaQdSQ9pdI7DV59Dz3sZa5UeXlEOTjMS-EXyA7NgqnwRwoyPHBqvNKXFMVOD0WUPtFPUWnxJEkVyk7NSWLtOhHO6Sc6jQ1F6l_RxKzrOiSax5kz3AX3iS2nQmFCz_4qBpttK90m41Yp9tGQyDGMqZ9eivB9ic0s6QVJq5RcqSzWXIqUU14ugqh5Gl9NnFcUWCAkAtsUeu_-NhXGj6ltdCfsYv58EuoFNWOOPe4upKwuP1T0BlhZCarTN0Z-xREP0uvumBMNudgAkfcQXfKzMRsp8uIiVrChX9chHuspM9ShRgAGU5tGTyNznnQxSR5pxuCwwzY8Ki9S9zaXkJNT_UnoTnTiOM3ZQ==\",\"summary\":[]}" }, { "type": "toolCall", "id": "call_gDAVNU7v5EjY203e2BwUIl5H|fc_0d5a342bd892e73d016a13043f654081908f6a55023d53e400", "name": "bash", "arguments": { "command": "~/.agents/skills/memory-write/memory-write --type profile --subtype working_preference --scope global --title \"User priorities for agent improvement\" --content \"Sebas prioritizes durable artifact creation, stronger product sense, faster repo adaptation, and tighter communication compression over parallelization. Parallel execution is low priority because time pressure is rare. Completeness/validation is the next target, with emphasis on pushing for clearer user intent before work starts.\" --source-ref \"telegram:2026-05-24\" --origin-agent personal-agent", "timeout": 20 } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 7318, "output": 145, "cacheRead": 0, "cacheWrite": 0, "totalTokens": 7463, "cost": { "input": 0.018295000000000002, "output": 0.002175, "cacheRead": 0, "cacheWrite": 0, "total": 0.020470000000000002 } }, "stopReason": "toolUse", "timestamp": 1779631165384, "responseId": "resp_0d5a342bd892e73d016a13043d8b3c8190bbd271a1a6e5719d" } }, { "type": "message", "id": "91656718", "parentId": "1dc279a3", "timestamp": "2026-05-24T13:59:35.173Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "", "thinkingSignature": "{\"id\":\"rs_0d5a342bd892e73d016a130441e49c8190b2c3b48997bb339c\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABqEwRFFYnkwq8CmdnBW68vCeVStppwR9kNb_3x2MNP7zlZsDRO1RGlReXWK2GbpSLBQramk1WbzyD1za5Hw7GRvdu_kL4LD-kjrRPXBtUk2haviZsSy-PKXGtA4Ow7SJJMitoCD4GaXhEpSmexuV6DHKvLwALe_jVKKQWa739nfT7RQKAIvHD5jGhI864eSPEtpo9qUo8b2ui2_O4zHSlNu2XxkwTZiMQtdqNRRjgF8qPNuHOqHc4coVNfngtchLWh2C2vm29V7WQ1kXNC-KPcqsIpjlHddGPBacZZJe3rNlT0nMSY4Js8FqDZqw9MKtuyVyGOoOOE_ILpV-uXviSw_xRWusiZtM_XXu4yLJTzoEcqZSp1y0gedwIDgFVPcbJsPEYKpO8SgwgPHraZxPpA0tg7Tn2qBWEg-Go_Z6inIuEgU0FHsOOIyk84zxZKOCTf0HUMk7KAfnA5xWNGzeyPpHGanUpy3lbQVyzdoGoXgkONvFT_tKBWypLOkKvEjFiDpNLtHqXhebC60rm7bMsHHhLJFcVsprNlVdb3f0cQhBFjFfHB8UmgD2zSpRG5uZlFK4ROIUf9ssZEyvpXqwUdV4JNw1DtqhoIC_oSI7RXOCaTApJoT-SjgFieJcE9HSc23ihJV7Wj2BnzpwygBTnr3X752TFUon6R1TQRdgHHkHF98r8lQPH03gbbGA5lx5b9ezFEMYe_BUOv7n8QxcJE5PNca-X25ltm4BJiHI_5UcCc1dLFx7f14fQP3N6IjVYEY54T0SYGy7ZjOODpFiRWySbQbzzO2qMN3Tvvcs7EvoxdJNLeUN70RjaQhygZ7tOf1VqNkltP2eX8Dmb593JwteUHopqCbP2hfH3i8l856-fgicjgBirFWRbSt3QcPbUrymLn0vxr18WGC-pncHrEL5Yp6ciOha0XJLKLGC6QEVyBr6ZJvqaPpuJVFVPUnqLdZbrCnNjFy_kHr34Xj1kdP3F2tsvPJj5b02AtnS2mHc3QiVRKQQ7ZxMqwQU6P3Wq3S2fr92JHzvjrCl_2ftv4eRoUoObOGI-y_O_GWkZNtsiw1fE=\",\"summary\":[]}" }, { "type": "text", "text": "Makes sense.\n\nNew priority stack:\n1. 12 — better durable artifacts\n2. 15 — stronger product sense\n3. 7 — faster repo adaptation\n4. 10 — tighter compression\n\nDeprioritized:\n- 8 / parallelization\n- Reason: low urgency, ample execution time\n\nNew top meta-goal:\n- completeness\n- stronger intent before work starts\n- more pressure from me to force clear done criteria early\n\nI agree. That is the right trade.\n\nIf completeness is target, best behavior change is:\n- before work, lock:\n - goal\n - done gate\n - exclusions\n - real-vs-fake backend truth\n- during work:\n - push back on vague intent\n- before stopping:\n - validate against binary checklist\n\nSaved to memory:\n- `mem_c24eb94053944d0d8847c565a2a6f65a`\n\nIf you want, next I can turn this into:\n- a new operating policy for how I should challenge vague tasks\n- or a tighter Ralph-loop template built around completeness.", "textSignature": "{\"v\":1,\"id\":\"msg_0d5a342bd892e73d016a130445652c81909ea3bb66c06c0513\",\"phase\":\"final_answer\"}" } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 7823, "output": 255, "cacheRead": 0, "cacheWrite": 0, "totalTokens": 8078, "cost": { "input": 0.019557500000000002, "output": 0.0038250000000000003, "cacheRead": 0, "cacheWrite": 0, "total": 0.0233825 } }, "stopReason": "stop", "timestamp": 1779631169142, "responseId": "resp_0d5a342bd892e73d016a13044148288190a24374e7132cbf08" } }, { "type": "message", "id": "86569773", "parentId": "91656718", "timestamp": "2026-05-24T14:05:42.642Z", "message": { "role": "user", "content": [ { "type": "text", "text": "[telegram] nono, from the top improvements lest" } ], "timestamp": 1779631542637 } }, { "type": "message", "id": "fe4c02f4", "parentId": "86569773", "timestamp": "2026-05-24T14:05:51.544Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Correcting prioritization mapping**\n\nI need to correct the prioritization mapping based on the indices from the top improvements list. So, I’ll restate them in order: 12 for durable artifact, 15 for default product sense, 7 for cleaner progress tracking, and finally 10 for stronger communication compression. I want to ensure I'm focused on the right aspects, and this will help clarify the priorities moving forward!", "thinkingSignature": "{\"id\":\"rs_0d5a342bd892e73d016a1305b84d448190ad54cf9dd9e4386a\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABqEwW79Sb9hp5aY30JJeNpGdO7svYkahLluaCz0JU1_9D6UDifLfWn_wriCnMDoFK4WcYK_uyzYnK6hqavirJOWR1Myuk_ogeMch-1bqixm-JBN3W8WpHPrOY57XdqE4VlB8Vy8S45vnEB_OGH_mkawQgfX5GwS9gCUa2_eBR_x8aRTTe9Sb1qkqBqYkdbrVFMZTH96_5XZjxPz7ulu4ZeHg20ml_tZQnKrTaITMcRr8gRdjAjVHB-plWu_Yc72r-0uA4rsws3NsyX0hHUp8H_7sGk0ZV4vvp2-z1l-ZyGhWfBIwgAp1wPLvHpQGo7OedsrM3sMoR3dV7L62iop9P-bhfBZ5qJAYwtxwf7fb-G5W5fZqV8t2rtoDRE8aazNOXau0cvr2PxgwVTsP3J4lNGXS6EU74yXjBnAbYUjo7DAh9yOC8IP4C9bq9KxarnrPPELjOJx_XdhgKysIHMs1NZZW275UUh2pm6ggjVtPBX-HAUSkCT4IXaKtOmSq3ijspnAqC0IxLkK8o8OgbAL6D1jvam1cvy658dpDWZwclJmSoGWXt5HHZ326suFtWv--p2fQ52i4lcLxNZQJOTbj6SUA1c-sUczpQmDtZ4ZrtOup81hDhotU_7Xv10OWAopNDHDVjqsLtA9fso8f2ExMBAovVoDVoSX64aGJwd5jAHP9ET-zr8OBoTCWVXk5WU9WWtj7svtuw6kmFGCcP-8yvSgs4v1aMCx-byPBRlifa1g7euT_-4L2sX68JRqk_ugVHKKkme5yqMlD0MVpepO73Jk9KZtLSvVcNnDflavYMPbQd-tHIHEZGb5cVnTiymQOHpr2IvsPeHTr4V_9i_X29UDdZQVQTGEj2pi8pacVGfA42SqaMxK4US0j_AGwWqjIcfdMoJCgM33IQzlkFkePie-gOA4o-7OL2xUJaYGTl-HUuiR6duhfcTVE7SdmHxMsAGneZUsN88FU6lI7pECzt6mqHYuYHppmyFIgD1j7Beqrj61znN0tQVFW9qQKzhX5jGia-I1PEk1s8191FafOA3zHZBlghjLSC8HtrFJ8E8Wfebp28Tcnz17s6Bw3SgRd7J3l0PeH_7mI-tCR0TbkAlihdzooj6qMkcXkDs_5eaGPnsKCHRlNiXzeuJRR3jVaAl709Ctrm9iUQFXg7hGT8lcrKO65KhE3iLpbkwM7f7uTyjfRt-WCK5M_59rXScwv6_x9sfENjnMI6cAdpWDU8iOWv8szTiC-Q6bzxD2Trl-eLL6D0=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Correcting prioritization mapping**\\n\\nI need to correct the prioritization mapping based on the indices from the top improvements list. So, I’ll restate them in order: 12 for durable artifact, 15 for default product sense, 7 for cleaner progress tracking, and finally 10 for stronger communication compression. I want to ensure I'm focused on the right aspects, and this will help clarify the priorities moving forward!\"}]}" }, { "type": "text", "text": "Got it. From top improvements list, your priority order is:\n\n1. 12 — better durable artifact creation\n2. 15 — better default product sense\n3. 7 — cleaner progress tracking\n4. 10 — stronger communication compression\n\nAnd:\n- 8 — more aggressive parallelization:\n not a priority now\n\nAdded priority:\n- completeness\n- stronger intent capture before work\n- more pressure from me to force clearer intent before execution\n\nThat changes the upgrade focus to:\n\nCore stack\n- completeness first\n- intent clarity before work\n- durable artifacts\n- product sense\n- progress tracking\n- tighter communication\n\nSo the practical behavior change should be:\n\nBefore work\n- force clear objective\n- force binary done gate\n- force exclusions\n- force truth on real vs fake behavior\n\nDuring work\n- keep task state cleaner\n- leave better artifacts\n- challenge vague intent sooner\n- suggest product simplifications when they improve outcome\n\nAt end\n- validate against done gate\n- leave reusable summary/artifacts\n- communicate result with less noise\n\nWant me to rewrite the full improvement list in your new priority order?", "textSignature": "{\"v\":1,\"id\":\"msg_0d5a342bd892e73d016a1305bb5f088190b2488ae573500767\",\"phase\":\"final_answer\"}" } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 2306, "output": 294, "cacheRead": 5632, "cacheWrite": 0, "totalTokens": 8232, "cost": { "input": 0.005765, "output": 0.00441, "cacheRead": 0.001408, "cacheWrite": 0, "total": 0.011583 } }, "stopReason": "stop", "timestamp": 1779631542638, "responseId": "resp_0d5a342bd892e73d016a1305b7730481908b254a39ff14ab55" } }, { "type": "message", "id": "a2904d9c", "parentId": "fe4c02f4", "timestamp": "2026-05-24T14:07:38.244Z", "message": { "role": "user", "content": [ { "type": "text", "text": "[telegram] yes but meant 6 and not 7" } ], "timestamp": 1779631658239 } }, { "type": "message", "id": "db31ad4b", "parentId": "a2904d9c", "timestamp": "2026-05-24T14:07:42.571Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "", "thinkingSignature": "{\"id\":\"rs_0d5a342bd892e73d016a13062b40888190b4e2c8d0dbb345b1\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABqEwYtO4PreMd_SYkThf38nTLH0A1W-XGkH7LBr3bgh5I5ZKzCS_KItaTZkfdtmM43T7nghUQLkY1nw9hhfcPJXuOPKyKoXCob0L7JjuTYBWRu0AZNJoXo1RilRBD0W9KyKpPSO8VPxbLs2q5yWzf-s1lVueV8DxuZ3tx-JSI1RTZU7mOMD2cow5OQHaaizH2nk60S02zArkQaoEB5nV_3P6YB5B0sGF2Y0BLThQ-urdiBuCpGsQDWlNCDau527ZORnHnaOLur7V7lrPWUhNfDzCqU4H8GMaDH2f2O5LCrBmWW5LGv99gS2FASGQlsumCfj1fBk-iDmp0qYBj8fe9KTBnTTCCDyJc4XXS-ZX-DuJppa2Gw_OGgYbGJ7hy0KontNfCM2t6ig4jRc79NEwlCsR-MODqAdh-_Z1ZxonxE6ysXafjZbzLSGAZBtGFM3-8ryTiYLht9q_L4c2rHjw9GwNmOOVqLkhQBBxJ9Zd5Oja6ddtTgjMmMkefrL05549KBKUSfgHIJiPc8q_wXcuDkr-SJ62BidqDo7XXYjGHy0HUiU6c7FU_hdi-Id6Yb2WChjyXttadW76gsX-Oh61MXZEGFMyx0V_U9246KfU302w0dO1OXW-VLA4wMVhs5EgXHxqcVVJ2Q4yzEnkfGfcRmNY7psfEUQ1-1Gjzac_2snQ1QDBNLfBrSY5AXxSielKw7y5w0dKfMFyc2HWtCpyUCE4Gq0IBFxFtLCyvG3tBz_CByvJqz3exbouWAb4F436YSA8OhrJm2KeelLX6fyBBEkfQ1btua2GTjmsyXYNzUvo3upbxI5bfh2pWHrO3epaKcng1ughBiCMgV7FhTG8W8Mou-X83NJBSwGa8QT1QoXDdPsNNCxiOZUYSv3g8EAM0gNhX7Pvqju585HMVoZ5Wwf28XmbR2peMz5bab2fHRlv2p7pLfnXVjhDZHomvtyqS8boZWrAspCncX-SwqdMCiu5KdhGKZZITFJVwawb4up3bOW8my9DZaKx1YTFdx-ASBBrVJifkjiFabkxKYQDvRMSBRUQ115Nh7Jpc2-CgPfs8SHZAfJkDPFrEs_AnDwuoiA-eU\",\"summary\":[]}" }, { "type": "toolCall", "id": "call_CTJ7tl2IdusbQ3FNJmhTnmjv|fc_0d5a342bd892e73d016a13062d69d88190a73528ee9aab465b", "name": "bash", "arguments": { "command": "~/.agents/skills/memory-write/memory-write --type profile --subtype working_preference --scope global --title \"User priorities for agent improvement corrected\" --content \"From the top improvement list, Sebas prioritizes: 12 better durable artifact creation, 15 better default product sense, 6 better autonomous validation, and 10 stronger communication compression. Parallelization is not a priority because time pressure is rare. Completeness is the next target, with stronger intent capture before work and more pressure from the agent to clarify done criteria early.\" --source-ref \"telegram:2026-05-24\" --origin-agent personal-agent", "timeout": 20 } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 8191, "output": 177, "cacheRead": 0, "cacheWrite": 0, "totalTokens": 8368, "cost": { "input": 0.020477500000000003, "output": 0.0026550000000000002, "cacheRead": 0, "cacheWrite": 0, "total": 0.023132500000000004 } }, "stopReason": "toolUse", "timestamp": 1779631658240, "responseId": "resp_0d5a342bd892e73d016a13062a62748190a3dfdcaf79af0f92" } }, { "type": "message", "id": "66475d30", "parentId": "f1285638", "timestamp": "2026-05-24T14:07:49.985Z", "message": { "role": "assistant", "content": [ { "type": "text", "text": "Yes. Reordered with your correction.\n\nNew priority order from the original top improvements list:\n\n1. 12 — better durable artifact creation\n2. 15 — better default product sense\n3. 6 — better autonomous validation\n4. 10 — stronger communication compression\n\nExplicit deprioritized:\n- 8 — more aggressive parallelization\n\nAdded cross-cutting priority:\n- completeness\n- stronger intent capture before work\n- more pressure from me to force clear done criteria early\n\nSo full reordered shortlist becomes:\n\nTop tier\n1. Better durable artifact creation\n2. Better default product sense\n3. Better autonomous validation\n4. Stronger communication compression\n5. Stronger execution bias\n6. Better prioritization by impact\n7. Sharper clarification gate\n8. Better self-audit\n9. Cleaner progress tracking\n10. Better long-term memory\n\nLower for now\n11. Better repo adaptation\n12. Better contradiction detection\n13. Better risk flags\n14. Better handoff/resume behavior\n15. Better multimodal handling\n16. More aggressive tool orchestration / parallelization\n\nWhy this ordering is strong:\n- 12 makes future work cheaper\n- 15 improves what gets built\n- 6 improves truth/completeness\n- 10 reduces friction every turn\n\nSaved corrected memory:\n- `mem_bb53229e06914ac4a5aa51fee72455b3`\n\nIf you want, I can now convert this into:\n- a concrete behavior spec for me\n- or a revised Ralph-loop doctrine centered on completeness.", "textSignature": "{\"v\":1,\"id\":\"msg_0d5a342bd892e73d016a13062f8a708190b6eef9072ec129e8\",\"phase\":\"final_answer\"}" } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 1073, "output": 323, "cacheRead": 7680, "cacheWrite": 0, "totalTokens": 9076, "cost": { "input": 0.0026825000000000004, "output": 0.004845, "cacheRead": 0.0019199999999999998, "cacheWrite": 0, "total": 0.009447500000000001 } }, "stopReason": "stop", "timestamp": 1779631662708, "responseId": "resp_0d5a342bd892e73d016a13062ed7c0819097c3d4a7018bddfb" } }, { "type": "message", "id": "35fee145", "parentId": "66475d30", "timestamp": "2026-05-24T14:09:55.385Z", "message": { "role": "user", "content": [ { "type": "text", "text": "[telegram] only the ones mentioned explicitly (and related)" } ], "timestamp": 1779631795375 } }, { "type": "message", "id": "1de80a91", "parentId": "35fee145", "timestamp": "2026-05-24T14:09:59.533Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "", "thinkingSignature": "{\"id\":\"rs_0d5a342bd892e73d016a1306b4aee88190af19bcaee9fe0c52\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABqEwa1MMXasiOWdI3HYFaX3HSaX4rpn9Fo432S5B_pjAAkWiW7U7lIprWm36SIVIOVzfNSfa-ccv6l5Ayo_4IfZDg1P4pW_xUtZffKisJHuDPZsh_VkQDfZCG2_63L3I9itcPewOD0pwG67yMwA2An-aeFvxrzIzQGP23DObGnrYnvuAIJzIG3JpqRTaMMlXpEc9eJvQ23gm-SMl_UXkoAx8vzyVDs68hHyCSrjYtMvQRgT_CbWdDHI4HPXubE489u6FjQfszuD0RxZKmx18kktbM5FalkWKFWq-ii71Hm9KmFKOJz7GQcrnlMAe4cBk5x5dUaj3VVnmosRxnQ2aOLkjQyMxbVkTl2xGdKtcGsbBewdn6kQvA2uLqmIvrCDakC90oXVzNVu8Q0KAyaIbp_gyL9tWBDnyrh6vSH-sPQ8b993S0MqntZ3zw5FTXs__3w2PfxuAkos7bp1fwMiIZYDSZvvP38Xduet3v0ZIGY0K9TOEnoA7Ndl_hE-GtE5kUh9tV5hEkDLnLWCC-0jpOmPdbOCwQasDXSttjE7zUgMrLCqdOgJ3hrJcoDzUFMhLELIYuqSQbLnae64INnSlrpiPyY3LCH0mKfWC7NMzateMH7Gujd9VDNMHTPTjcV8AVcyBBY5dpz94hjtPEU7AHrzpjsYZ3FPIaqraNF-fK1F3TVGtq_pHTWNrFnohaqbpu4REASHO4zVWhvT8e1EUPUb-kiEqlrr7IhE_6mcrzVY4KsW-wRQdfUUtMrUX89Pd0g-2adY22mUh7A93WW1qYoES8S-exqTfXfxLgLjwYhPz0_cnsWsy64nRGUJbr0EufJXIGkpsp0rRF_W4D4hJMO5G4G7EV_HOjv_mG1Hh7QPC7GHb6oQbTjII3YYxYLZ6QZLBn9inuTmm-orYgyCiZ5knUNdi4gAz9aTznygjkVDFRRAEFKhNH9Eh98iCVXgzDkiLkM\",\"summary\":[]}" }, { "type": "text", "text": "Got it.\n\nOnly the explicit ones, plus the related cross-cutting priority:\n\n1. Better durable artifact creation\n2. Better default product sense\n3. Better autonomous validation\n4. Stronger communication compression\n5. Completeness\n6. Stronger intent capture before work\n7. More pressure from me to force clear done criteria early\n\nNot prioritized:\n- More aggressive parallelization\n\nThese cluster into 3 themes:\n\n- Better thinking:\n product sense, intent capture, done criteria\n\n- Better truth:\n autonomous validation, completeness\n\n- Better residue:\n durable artifacts, tighter communication\n\nIf you want, I can turn just these into a compact operating doctrine.", "textSignature": "{\"v\":1,\"id\":\"msg_0d5a342bd892e73d016a1306b537388190bb9be8554f694d37\",\"phase\":\"final_answer\"}" } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 9067, "output": 150, "cacheRead": 0, "cacheWrite": 0, "totalTokens": 9217, "cost": { "input": 0.0226675, "output": 0.0022500000000000003, "cacheRead": 0, "cacheWrite": 0, "total": 0.024917500000000002 } }, "stopReason": "stop", "timestamp": 1779631795377, "responseId": "resp_0d5a342bd892e73d016a1306b3af64819095569e1e692cd998" } }, { "type": "message", "id": "583d4183", "parentId": "1de80a91", "timestamp": "2026-05-24T14:10:41.257Z", "message": { "role": "user", "content": [ { "type": "text", "text": "[telegram] make the changes please. organize yourself however you’d like" } ], "timestamp": 1779631841251 } }, { "type": "message", "id": "f544fb10", "parentId": "583d4183", "timestamp": "2026-05-24T14:11:18.040Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "", "thinkingSignature": "{\"id\":\"rs_0d5a342bd892e73d016a1306e6a8348190aa1a8d4cc6354c67\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABqEwb_NgChWE-A-XKfer3zpZhJuAo8MqlQCG0VRgdHrci2DgKwuhx3g8QPaRuU13Vu-FDinbnRKPQ_E-coQvsdlJp7-1VfzTMKzks5Oc-b7X-c4Un7YAZUtHw4ULO7KD5Z9jTY3uubwPwx_LnrbmcUAZR4Y5TklTndLEt1TGdZD0nuUH6AUKzFG9o7RfjniiIPax2bH6YpFDzGJissC83cn7_FPTGk_vnvd0kWwXqkj_7jrsL9IZvMzQe-NmRq1EGSpH1To1cUUZlf7x_-43TW6hdcVsbWL_7ctGu53v5HchoD4fcOCHSeBEfbbGDIhi8JDgdmKkDiv7KKcR4MeTHG94IJfDpwMB8GUtV1ZbjQvtZUmSUutI3-aptP1ANXoW28TTdPorZcx7YsWnUklQL8ufrNUoPkiykrkeEYwFwuBZUPBsvGiiB54zd5qdYGwx8hKxArOVdf5YYBun456SFyuKySvKkIka0BxGKf34fc1hYHD6bnz45LtVvPU7nDbdn93j3-X4blnqqKQzvGGii53Y2BTTJblSFuZlIJFU3cypJ5aGJbYe55NnH2F5BlV83-V5XPfz4KaN3l9CnUpluJOsYVwHAHlISA7fAsbcrJVT92NNnXUxWVTxIZ-5Z-H5-3R6kiu1dZ3IwYhC3HEYpmE1tPOExtQvMkudWIwT-g1a4VJMMTfAgGhglEaUpqdzM1Oav3F53rDgK5yH5b2aSktGXm1FCYOFU-rRLtPX9RPz33vu-TLSMn8Lz5n_eauEvOMDJ19Y2xOuMU84Awlr9hbXAVM-pp0gCVSuynaTDso4v8V1thq7AGe-uO_c-8uhCwo8HfVHaGlzwHMJJwhIB7qyjw-wXOw-nL41wrpsxFcKtpZKQ0Kx8-PjeS70Ve41cpVAatjkSnB9psx4TJkBfjZPFRp80zo8jdmEiYlBFBfBtr5KwBuOc5yuGv3m2NWtjDzms0aGcsRutzWTJtxdgGU5vCW2yBghg6S-S4RwygyyLy_hr4OLSHwY4Wt4ti9V6GuYkM5Uh9D66zUiXseMUFsvnJ0kJ9fj3buF_3nymJeVAT6b_kPv8raf1M4U6sXIwTbbIkRbup30Af9_UAo62asd7kJ19g-BXjS8FbgVL-nRx3rdVnSXuzhmTc59xzVI62jHuElrdxOaWeBTXFusaZN75IuQ3sDu0hc8MfTl9fSIEVkeHsrjZ0Qz-gL9bSKwioFqoOGpVULkYR3Qf3Ks6fejXGPUt9eJHR-0NEvSR6VJ33M4uYG39lFXOdneB5AhN-bGhxqAbhNRk6Cjm48QW_vfaaUpRuH3C-6nXD9t9uRwxke4XN20i_4-7DGFoTUF39VmK2IGbvOKIA9uuM0xYFNdb-exTGVDx5t-5nlfHXGoEAzVpKtqb1VM0wezLLc-NPwgPu0i6q-7iV_P952XEfGjMw-kGPLU57z8uBpeLW2a-o2GXIgQidwL3M_R9ZDCBwDYzdmQF-u73s7YNFpafQe3R-3fqQedV2HjCt1aHomDVwfzKG13S_-QZ5cVOAoY6w4Pmby5HDD8SKuJVPgLCTkt7m1qyzvi4YD6sbvnv7RJqSIoDRAYo8skr3hIjbSwJCQQctQ1lX_wKwupAzDdkoGyyPDw==\",\"summary\":[]}" }, { "type": "toolCall", "id": "call_cCSAL0qeoP1LkFPqjRfIadkF|fc_0d5a342bd892e73d016a1306ff48cc8190925880125035c555", "name": "todo", "arguments": { "action": "create", "subject": "Update agent operating doctrine for completeness and intent clarity", "description": "Modify the Pi config agent instructions to prioritize durable artifacts, product sense, autonomous validation, communication compression, completeness, stronger intent capture, and forcing clear done criteria early. 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The user mentioned organizing myself, so maybe I could streamline AGENTS instead. It might also be helpful to add a section in the task-system for completeness artifacts and intent locks. It seems like patching both documents could create a clearer structure for my tasks and priorities. I’ll move forward with these adjustments!", "thinkingSignature": "{\"id\":\"rs_0d5a342bd892e73d016a130719f2cc8190ae78458902c6d83e\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABqEwcdWg_U0Jtl5E3u6dCYAJcswwyebC1uJtwj43mnTjomexRPB0xswGWAqZKf60dckMREdnaz9RzkJFucGhEO10-hSI8v-TjSaLA933DIdC3gzYiioqxHq87_ySyvTWc_eHnOKlCzuELIg0_txWybzcY8sHh_vB98Bva2Ao1FskVshgEBajSH847_JRuysLyQlxlOonXFAi32kNrfHf3IivIGhmyiBLGcRZP-dPgpBa6Aa6h-VYgg5owiGZ2vfWYOXKtVokFQFsjUkZO4T142GHDw_q5zq-MfZ--755QfoqcJTboxvQsuaBSOx4jwLpFOH4Ri_l9VexhU4mUJ7XuSMNrJETbD5r4C5t2t7TeIQyPIZHCtLtBkZUE77ss7W5OHS99ZXUWULJQaADK2ClKrXMJ34oQV3gUNmMXrj4Z2xzrG4tuXDRky4Ct90ScDWPB2wKkc390JrqfI7HS4yxoMU2WtbElvkd67uL5erfCzGgnJt4i1wOD5FMf9VnJHW3IIncMv7ywhldTGnChyE8TY5DHBZc2wPCHoZgYkT8xi1-rpLqA23nljVKGavnSVZYkuQ1R-6aexCRbomVy5f8remr42j8ntIcwqcW7o7Mi8D_XbMcvqEFRDQDeR5kGwC-pxFRIGupfRNdT2v1cEnAEMfSO8e89f9VPMbCFqNZCqyUtDpswnVGVufhYc1nQT48o22_4wQtM6l1lbP-UMc2_2pTpa-M50VO_6EsaUqguEVKL76t_zk1ME0GmBJ6j2_pDQSthphLRP4kCx_1oRwlAD3_0kcdeHsReF1eI7-UEcjCQs6XKP8I98QTstNfGyrXT8Ek6Sk6BM3e5OuChYMJvyOPD8B-RyFuf020FD_lCP4MJAWpbp6iTtrbElrfTj_IXINcmk4tr5R6ZdAIaL-6T3nUvynKyVmJ27E3vt7g4jY6l2XezXd2UvVkuoNhYBBYaKw8xaBnczjy1dnlp_IQbPBAejVLJEhv9n84kmP8DKkx-YS0luj0fb5zqN0QpOAPVJt5nTwOfDicyN6fJU2P0zo-7ZcyePftDl7RRpDq1gZBw-kaX1tzVY8pJEiXbjh5wpW8Tw1LTQl9HKPHRh5HT8x1kK9JAQC5EN7o62M6rnmAWy83awD8phyUtzj0ZOfoD_rt3SSv8Uq8lBNdLaCUhxng3I7jUn2RY692MqcN5tMtGelxLp-bwFVCU3y2hAGTKZsXrwO0870ezWLICRvMKr2Sha3dAsKQ2N1VM78iWWB7rkG_FLggqqq0kDIHtn55FhKPP2RMUOYqnoKcBy_pQZfx8HZP0iBn4aAd1mu6wy461irqV4vYBjqOD6sk5Vx1iHwzVJQpal9_YPzq3S0AxoviWpVjsmTlsEjttiEZZ1aeYVsFmoCgJS22NTMQN2Tg7wCpV8\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Organizing AGENTS and documents**\\n\\nI’m considering updating AGENTS to include explicit priorities and possibly enhancing the task-system document to clarify artifact management. The user mentioned organizing myself, so maybe I could streamline AGENTS instead. It might also be helpful to add a section in the task-system for completeness artifacts and intent locks. It seems like patching both documents could create a clearer structure for my tasks and priorities. I’ll move forward with these adjustments!\"}]}" }, { "type": "toolCall", "id": "call_SoFPYbo7oHBI4pOKQKajOrIW|fc_0d5a342bd892e73d016a13071de4c48190ae6c16568eca7ba0", "name": "edit", "arguments": { "path": "/home/sebas/pi-config/AGENTS.md", "edits": [ { "oldText": "## Intent\n- Optimize business impact.\n- Chase real objective, not surface ask.\n- Once clear, execute end to end.\n- Routine choices: decide and move.\n- Follow-up instructions inside an active task go into the todo list first; do not derail into immediate side work unless the user explicitly changes priority.\n- Pause only for blockers, contradictions, irreversible actions, or real scope shift.\n- Use subagents for recon, parallel work, or context isolation.\n- Prefer `ralph-loop-run` when the work is a bounded multi-pass audit, migration, or hardening pass on one repo and can be driven through shared `TASKS.md` / `STATE.md` handoff.\n", "newText": "## Intent\n- Optimize business impact.\n- Chase real objective, not surface ask.\n- Once clear, execute end to end.\n- Prioritize completeness: do not stop at plausible code when truthful validation is still missing.\n- Routine choices: decide and move.\n- Follow-up instructions inside an active task go into the todo list first; do not derail into immediate side work unless the user explicitly changes priority.\n- Pause only for blockers, contradictions, irreversible actions, or real scope shift.\n- Use subagents for recon, parallel work, or context isolation, but do not optimize for parallelization unless time pressure justifies it.\n- Prefer `ralph-loop-run` when the work is a bounded multi-pass audit, migration, or hardening pass on one repo and can be driven through shared `TASKS.md` / `STATE.md` handoff.\n" }, { "oldText": "- Goal gates that express user intent, business outcome, exclusions, or what counts as truly done should come from the user when unclear. Do not invent intent gates by yourself when doubt remains; ask and lock them first.\n- You may derive technical checklists, feature states, and validator markers after intent gates are clear, but not substitute your own guessed intent for the user's done criteria.\n", "newText": "- Before meaningful execution, lock the intent frame when not already explicit: objective, binary done gate, exclusions, and reality constraints that decide whether a feature is truthful.\n- Goal gates that express user intent, business outcome, exclusions, or what counts as truly done should come from the user when unclear. Do not invent intent gates by yourself when doubt remains; ask and lock them first.\n- Push the user for clearer intent early when ambiguity threatens completeness, validation, or product truth.\n- You may derive technical checklists, feature states, and validator markers after intent gates are clear, but not substitute your own guessed intent for the user's done criteria.\n" }, { "oldText": "- Hard rule: if a feature depends on business truth, never present fake/local placeholder backend as real. Validator must fail immediately on that condition.\n", "newText": "- Hard rule: if a feature depends on business truth, never present fake/local placeholder backend as real. Validator must fail immediately on that condition.\n- Prefer pruning, disabling, or hiding uncertain features over shipping ambiguous half-working behavior.\n" }, { "oldText": "- Use Agents Database as durable shared memory.\n- Prefer saving durable memory at session end via session analysis, not mid-conversation.\n- Save mid-conversation only when the user explicitly asks, handoff risk is high, or the information would likely be lost before session end.\n- Save high-signal prefs, decisions, project facts, reusable artifacts, and brief handoff context.\n- Prefer few strong memories over many noisy ones.\n- This Pi config repo is the place to evolve these rules.\n", "newText": "- Use Agents Database as durable shared memory.\n- Prefer saving durable memory at session end via session analysis, not mid-conversation.\n- Save mid-conversation only when the user explicitly asks, handoff risk is high, or the information would likely be lost before session end.\n- Save high-signal prefs, decisions, project facts, reusable artifacts, and brief handoff context.\n- Prefer few strong memories over many noisy ones.\n- Leave durable artifacts aggressively: concise notes, decision records, validation evidence, and handoff summaries that make future sessions cheaper.\n- Product sense is part of execution: suggest simplifications, scope cuts, UX cleanup, and truth-preserving alternatives when they improve the actual outcome.\n- Compression matters: final communication should minimize words without dropping decision-relevant detail.\n- This Pi config repo is the place to evolve these rules.\n" } ] } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 12460, "output": 1036, "cacheRead": 0, "cacheWrite": 0, "totalTokens": 13496, "cost": { "input": 0.031150000000000004, "output": 0.01554, "cacheRead": 0, "cacheWrite": 0, "total": 0.04669 } }, "stopReason": "toolUse", "timestamp": 1779631883260, "responseId": "resp_0d5a342bd892e73d016a130711c7d08190973e6facb4a3bbef" } }, { "type": "message", "id": "595e949d", "parentId": "939507a5", "timestamp": "2026-05-24T14:12:06.473Z", "message": { "role": "assistant", "content": [ { "type": "toolCall", "id": "call_I6vb8ERq2bYjia9hrd0XZewS|fc_0d5a342bd892e73d016a13072cea508190b65a1264f2d48b00", "name": "edit", "arguments": { "path": "/home/sebas/pi-config/docs/task-system.md", "edits": [ { "oldText": "## Agent behavior\n\nWhen starting work:\n1. check `TASKS.md` for current actionable items\n2. check `BACKLOG.md` if the request is still exploratory\n3. use or create the task folder if working on a `T-xxx` item\n4. update the durable docs when task state changes materially\n\nWhen creating a new concrete task:\n1. add it to `TASKS.md`\n2. create `/home/sebas/work/tasks/T-xxx/README.md`\n3. put working notes/artifacts there until a better permanent home exists\n\nWhen completing work:\n1. move durable completion summary to `DONE.md`\n2. leave the lasting artifact in the correct repo/doc path\n3. keep the task folder only if it still has useful notes/artifacts\n", "newText": "## Agent behavior\n\nWhen starting work:\n1. check `TASKS.md` for current actionable items\n2. check `BACKLOG.md` if the request is still exploratory\n3. lock intent if not explicit: objective, binary done gate, exclusions, and reality constraints\n4. use or create the task folder if working on a `T-xxx` item\n5. update the durable docs when task state changes materially\n\nWhen creating a new concrete task:\n1. add it to `TASKS.md`\n2. create `/home/sebas/work/tasks/T-xxx/README.md`\n3. put working notes/artifacts there until a better permanent home exists\n4. if useful, record the validation plan or done checklist in the task folder early\n\nWhen completing work:\n1. validate against the locked done gate, not just code changes\n2. move durable completion summary to `DONE.md`\n3. leave the lasting artifact in the correct repo/doc path\n4. keep concise validation evidence or handoff notes when they will save future sessions\n5. keep the task folder only if it still has useful notes/artifacts\n" } ] } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 1237, "output": 444, "cacheRead": 12288, "cacheWrite": 0, "totalTokens": 13969, "cost": { "input": 0.0030925, "output": 0.00666, "cacheRead": 0.003072, "cacheWrite": 0, "total": 0.0128245 } }, "stopReason": "toolUse", "timestamp": 1779631915869, "responseId": "resp_0d5a342bd892e73d016a13072c03b481909a5d8dce4f4a5c2a" } }, { "type": "message", "id": "eed79491", "parentId": "54abbfce", "timestamp": "2026-05-24T14:12:09.760Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "", "thinkingSignature": 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It seems like the file might not have committed the old baseline, which means there are likely lots of unrelated changes. I need to ensure that I'm only focusing on our specific changes. The user requested to make those changes, so I’ll highlight the modified sections. I’ll also make sure to save my memory as I update the to-do.", "thinkingSignature": "{\"id\":\"rs_0d5a342bd892e73d016a13073a98e48190995a7418fe2738c4\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABqEwc-ejupmt7JPRKNbHFEH2Csu-Pj__TiFnkaPVnF4Ay78SrNfK70ClM41dmGgN41BKN4BKRdzR2SE2-ydH8C1vPQciYU-InYDuAY57Gf8E9yOSY-ZylbC33oqbex-bkEAYE-bYnl0OiQL3H9W-NnEvRkpVt-kp9ptlXodkoJGQgoSkyys3lleMtB0Dml6Sp-l_HVEgYA_vf_VHyKYoFz6RSvMGWcvlbrmMT1zRYIMKQnXGAudWh8hMKrJHcLECgOI4fjIhlmCljUEhofd-50v22yZPtZ2A8uAhEkXJxlXv4EuyFWFSeEW8vuCHCz3j8FNClz8b_H_JMUA3zhfBrou-fcbKFx-yqd_0UYz_DcIm4rVrc9-9TmOyc1jH0K8ElFi9ovsEKC0WiCE1ZG7cvxAOgTm9ozNqj1M4Z5IjYE9WCv8OCegO91mn49OeitwleAo7H2tDQaAeCeNY6On9VFBgNqQBQDyzGUk2qak8DwU5TodRJOSIjLow9E2qOxIFGBfL7w506XPQr6TYCb-XRTPo07FJtl9_bHCdnhsnmSdnQxGHRQ81jLYBU08nb0GkQ4zTbdGoODUIPVpSMBtLG9HTXfXi4WLnIrbgFBMuktIyK_k5gXxSU_3r-F4lZTQBFsKiAynMKtHONyqOYTLm_QZo9PKF8LekqaJRcSj8_CZqeTRmJB66EBkvkUNKw8rwkMeGfcLUK6eZ6I8AC8-1S5cYbWINwT32PPO3EoOigmk3uQGyOwsKrtJjVs3vW0ZBhu-taiT-ef7ZOPQfMFdzecGYD9PZvngzYivB7JgsKN59Ac--M06pt20EwBLc_yrLanea1NVXNElB3aafRPT-qQHb-cVMEGloz7e-2fdBP4RAuXnJcV9pI2zXtj67gLZwxkkjjmo2jaVDpeTBA7nQRwthd-RGpXB4__GSaG8yioZZ17BAd2BfB9pQjjLVdlvUZWz3fX-isHZdafHHpBUyuUshzuMagri79HWx6Edv9xAVbVZ8wB-_bNFReUre5rXPL_41ny4fXhqsecL68Zn5n_23N7Z9IcEuEogeYHszxR1lPrla3KJWJ4aXtd5YtNEjJjbT0vUUkzMvj4Eif0lGvTdcwyfX39_aZVWjqUsjTaJWqw7GK6tRAGTvADIiKAaeGsclaigHYoFcIldfkDVDyeKqYFpaJLTS2vdtPmqENiEVSO8_8aIZNsEHw_CograbZidfs-NJFKF1sJ-9ouhmDY4LC51NS2RCb7W07X4qMpqnl5O7c=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Reviewing file changes**\\n\\nI’m looking at the diff and wondering if it includes pre-existing changes. It seems like the file might not have committed the old baseline, which means there are likely lots of unrelated changes. I need to ensure that I'm only focusing on our specific changes. The user requested to make those changes, so I’ll highlight the modified sections. I’ll also make sure to save my memory as I update the to-do.\"}]}" }, { "type": "toolCall", "id": "call_FbI97uT9WRbnWhzII0EVf4fV|fc_0d5a342bd892e73d016a13073e29ec819086e6665e262d4282", "name": "bash", "arguments": { "command": "~/.agents/skills/memory-write/memory-write --type decision --subtype operating_rule --scope global --title \"Agent doctrine shifted toward completeness and validation\" --content \"Agent operating doctrine updated in pi-config to prioritize completeness, early intent locking, binary done gates, aggressive durable artifacts, product-sense suggestions, stronger truthful validation, and tighter communication. Parallelization is explicitly deprioritized unless time pressure matters.\" --source-ref \"file:/home/sebas/pi-config/AGENTS.md\" --origin-agent personal-agent", "timeout": 20 } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 2144, "output": 179, "cacheRead": 13824, "cacheWrite": 0, "totalTokens": 16147, "cost": { "input": 0.00536, "output": 0.002685, "cacheRead": 0.003456, "cacheWrite": 0, "total": 0.011501 } }, "stopReason": "toolUse", "timestamp": 1779631929810, "responseId": "resp_0d5a342bd892e73d016a130739f3d48190880be722b1dda475" } }, { "type": "message", "id": "f5026bbd", "parentId": "91f84a47", "timestamp": "2026-05-24T14:12:16.267Z", "message": { "role": "assistant", "content": [ { "type": "toolCall", "id": "call_vNLnO4RJpSXfEnX2PeHIsIZY|fc_0d5a342bd892e73d016a13073fcbe081908e20b59d4dee58f6", "name": "todo", "arguments": { "action": "update", "id": 1, "status": "completed" } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 3194, "output": 25, "cacheRead": 13312, "cacheWrite": 0, "totalTokens": 16531, "cost": { "input": 0.007985, "output": 0.000375, "cacheRead": 0.003328, "cacheWrite": 0, "total": 0.011688 } }, "stopReason": "toolUse", "timestamp": 1779631934820, "responseId": "resp_0d5a342bd892e73d016a13073ef55c81909dadc97fa2e49c3e" } }, { "type": "message", "id": "65427345", "parentId": "c9c425ed", "timestamp": "2026-05-24T14:12:21.118Z", "message": { "role": "assistant", "content": [ { "type": "text", "text": "Done.\n\nChanged:\n- `/home/sebas/pi-config/AGENTS.md`\n- `/home/sebas/pi-config/docs/task-system.md`\n\nWhat changed:\n- completeness now explicit priority\n- intent must be locked earlier:\n objective, done gate, exclusions,\n reality constraints\n- I should push harder on vague intent\n when it risks fake completeness\n- stronger validation doctrine\n- prefer hide/disable uncertain features\n over half-truths\n- durable artifacts now explicit default\n- product-sense suggestions now explicit\n- compression reinforced\n- parallelization explicitly not optimized\n unless time pressure matters\n\nSaved memory:\n- `mem_5a157e5a8f1948899b22aaefe5f2d658`\n\nNet effect:\n- I should ask fewer junk questions\n- but force sharper goal clarity sooner\n- validate harder before claiming done\n- leave better residue after work\n\nIf you want next, I can also add:\n- a compact task kickoff template\n- or a Ralph-loop template tuned to this doctrine.", "textSignature": "{\"v\":1,\"id\":\"msg_0d5a342bd892e73d016a13074114588190a897610ebcc25b78\",\"phase\":\"final_answer\"}" } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 166, "output": 217, "cacheRead": 16384, "cacheWrite": 0, "totalTokens": 16767, "cost": { "input": 0.00041500000000000006, "output": 0.003255, "cacheRead": 0.004096, "cacheWrite": 0, "total": 0.007766 } }, "stopReason": "stop", "timestamp": 1779631936268, "responseId": "resp_0d5a342bd892e73d016a130740668c8190a8e1459b051ece93" } }, { "type": "message", "id": "1d5dddd7", "parentId": "65427345", "timestamp": "2026-05-24T14:22:33.153Z", "message": { "role": "user", "content": [ { "type": "text", "text": "[telegram] a compact task kickoff template seems helpful" } ], "timestamp": 1779632553147 } }, { "type": "message", "id": "9cd54687", "parentId": "1d5dddd7", "timestamp": "2026-05-24T14:22:36.698Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "", "thinkingSignature": 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[ { "oldText": "## Agent behavior\n\nWhen starting work:\n1. check `TASKS.md` for current actionable items\n2. check `BACKLOG.md` if the request is still exploratory\n3. lock intent if not explicit: objective, binary done gate, exclusions, and reality constraints\n4. use or create the task folder if working on a `T-xxx` item\n5. update the durable docs when task state changes materially\n", "newText": "## Agent behavior\n\nWhen starting work:\n1. check `TASKS.md` for current actionable items\n2. check `BACKLOG.md` if the request is still exploratory\n3. lock intent if not explicit: objective, binary done gate, exclusions, and reality constraints\n4. use or create the task folder if working on a `T-xxx` item\n5. update the durable docs when task state changes materially\n\n### Compact kickoff template\n\nUse this when a task needs intent locked before execution.\n\n- Objective:\n- Done gate:\n- Exclusions:\n- Reality constraints:\n- Validation plan:\n\nShort guidance:\n- `Objective`: real outcome, not activity\n- `Done gate`: binary user-visible finish line\n- `Exclusions`: what will not be handled now\n- `Reality constraints`: backend truth, data truth, auth/env limits, or any condition that makes a feature fake vs real\n- `Validation plan`: how the done gate will be proven\n\nUltra-compact variant:\n\n```md\nObjective: ...\nDone: ...\nNot doing: ...\nTruth limits: ...\nProve by: ...\n```\n" } ] } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 296, "output": 381, "cacheRead": 16384, "cacheWrite": 0, "totalTokens": 17061, "cost": { "input": 0.0007400000000000001, "output": 0.0057150000000000005, "cacheRead": 0.004096, "cacheWrite": 0, "total": 0.010551000000000001 } }, "stopReason": "toolUse", "timestamp": 1779632558129, "responseId": "resp_0d5a342bd892e73d016a1309ae43f481908f9164679febe7fa" } }, { "type": "message", "id": "a03714c5", "parentId": "5af3af15", "timestamp": "2026-05-24T14:22:47.810Z", 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