{"type":"session","version":3,"id":"019eaa48-8454-7b00-a23a-d8ecfeb81be1","timestamp":"2026-06-09T02:48:59.732Z","cwd":"/home/sebas"}
{"type":"model_change","id":"c9d324a4","parentId":null,"timestamp":"2026-06-09T02:49:02.172Z","provider":"openai-codex","modelId":"gpt-5.4"}
{"type":"thinking_level_change","id":"71b980a5","parentId":"c9d324a4","timestamp":"2026-06-09T02:49:02.173Z","thinkingLevel":"low"}
{"type":"message","id":"ab387822","parentId":"71b980a5","timestamp":"2026-06-09T02:49:14.013Z","message":{"role":"user","content":[{"type":"text","text":"que temas me interesaria aprender segun lo que sabes de mi?"}],"timestamp":1780973354007}}
{"type":"message","id":"60b072f0","parentId":"ab387822","timestamp":"2026-06-09T02:49:29.938Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Exploring user preferences**\n\nI think I should focus on finding an answer based on what's already known. Since I don't know much about the user's personal interests, I might be able to infer some details from their setup. I don’t need any extra tools right now; a simple memory search could work. The instructions suggest using the agents database when relevant context might exist, so I'll check to see if there are any memories about the user's preferences.","thinkingSignature":"{\"id\":\"rs_0c8a53ba51d85cd1016a277f2da438819190f806aba34e3a5c\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqJ3833NQBPVlwnKYRWerUN3neINU5x7JtS_wvbdzRTC8uQwLFLlB60NnJ2BIjGSmIrBY3pDlB6keOEZTy-agh8zZJROq9ufviO-PK1XdBSQ60pRN9pgi3vq-epRNhMYFYdtBopX6I1CZ0mhWKGc04mdzME0qd8MoVjRkM_GmQtj0g1V_T1PNwMZ_gXxUsqIDRMj-hJGnM2KIwW25DuX_I4L6dj_8HWd4Z-v-CyKknbYxlvygDK5Zvrsxff4X8DNViMRxR6mybxh3jotvqoXvU2LsY4Sed1SM6mSNp_RnyOacZvCZaAZWcxMLRLvybQo8XVEiAbiwgHXx3tcPkMwx4DaTgT4RtQo8NLL-JaMEhTT7SVNLRIj2uNK_J5YMyu39NjFqQjnoo-OgTqD3oLtnf6W0x1DSTfLm-4qhw8dG7LDytsNsd_UNrgh7Zbh2iEdn2KXA9hcdleL3vgEQHBbyOAnZXVEMUIRU8caei24V0r_-D0uTWNFpPf9SrxYoWGHpKBu-rbgeM27apb-F8_-tzilxNhaWOV5g5fVQVIyNbFbJg68bMElFaq9FgLBDgyjMTNO4R26D1krBsw6JbdsnjP600e8hawSFPKCGo1ZEGk37bsI3OM00ixEd7D_8LJkHm8iGMvdZ6oGf0T5706NnzxBvc_a1t9p96YmENDWpdf1VsPn4M9c-LN24cYC16jKIq4o3aiJitzGIIgFKlhVupd3NJHmtvcl8qWPZI2BMppt2ngNCiB8mY0HGz8X98cKSl9HflbrvcVN0DBlEZrTvA13Uw5JyF2qFUvxrUecB_LRCLdRk6hhXA9RlqyusB6pBXcFI4VmBj3f0A0muzsMKMPIHBYgUsDz6vH65FWWHEuAPnMMMB3FY6PVauJ-dWC4mS9ffWjuRa9zGvC_Fx2LUlqC_ROmoNJxFhCN2bzJNgp5wz-4ISv1KVUBsFjLqf42GzAkUyeaYQS9zX9iyIni86mFAe0krk9IvKyXwY9_DX-pjDWjCQYe7BU66h3jrDMKR888HpXU3FhTA6nEwfWO73pB6HJRHoW406CW3jDLTCYhA4xxPYJSTopp4y2AiE1X446aOiw8T6yIIbCZ3aJjiEAroeov7kvsnej7BeWFWXffEfdmQr694vRI8yyG-NaFzKW3UT2wakOWXTdEwW25Q69-qEj62xMCq8hyaH1Cfv0QGSFEhmOidXBi9CSOIPrpvXwBTtSb82pNprYdTSjDdA00N2gvLamj07pwu5nnp3jJ_ypC9tfTZiF2TsplAjBf5cKfjlO51BUmDcIYSxdHszu2nSY-nKbvRAcp_kgNH-d3lHAWqSKYQHlstyN2NXH6AsFxvpAIUrYxzuo-dUl7lFHGzfuQ==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Exploring user preferences**\\n\\nI think I should focus on finding an answer based on what's already known. Since I don't know much about the user's personal interests, I might be able to infer some details from their setup. I don’t need any extra tools right now; a simple memory search could work. The instructions suggest using the agents database when relevant context might exist, so I'll check to see if there are any memories about the user's preferences.\"}]}"},{"type":"toolCall","id":"call_rDNx5BTwuET3q5QARrfrqNFl|fc_0c8a53ba51d85cd1016a277f379f9c819190e8d606f3ce9b7c","name":"read","arguments":{"path":"/home/sebas/.agents/skills/memory-read/SKILL.md"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":5632,"output":95,"cacheRead":0,"cacheWrite":0,"totalTokens":5727,"cost":{"input":0.01408,"output":0.001425,"cacheRead":0,"cacheWrite":0,"total":0.015505000000000001}},"stopReason":"toolUse","timestamp":1780973354025,"responseId":"resp_0c8a53ba51d85cd1016a277f2b1b48819199cdc084b6dc7049"}}
{"type":"message","id":"7dd60ccc","parentId":"60b072f0","timestamp":"2026-06-09T02:49:29.948Z","message":{"role":"toolResult","toolCallId":"call_rDNx5BTwuET3q5QARrfrqNFl|fc_0c8a53ba51d85cd1016a277f379f9c819190e8d606f3ce9b7c","toolName":"read","content":[{"type":"text","text":"---\nname: memory-read\ndescription: Read persisted research memory, claims, and tasks\n---\n\n# personal-memory-search\n\n## Workflow\n\n1. Execute:\n   - `curl -fsSL \"${AGENTS_DB_API:-http://100.116.176.16:8091}/api/search?q=<query>&scope=global&scope=project&limit=20\"`\n2. Return matching runs, claims, and tasks from the JSON response.\n3. Prefer reuse of prior work before starting a new run.\n"}],"isError":false,"timestamp":1780973369948}}
{"type":"message","id":"1cdbd861","parentId":"7dd60ccc","timestamp":"2026-06-09T02:49:40.999Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0c8a53ba51d85cd1016a277f3cbd5c8191821e3a247c53f5ba\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqJ38-k_UvX2K-ZCoEDV9Fg5XUTvHs04msv4NC0iGuYKUCh7Z7gBJMBIvbQThzJOjx5om3-RqnV9IeYoMk3fvSLeG8QN4QByjDgt8xI2ILaPGRNDQAfpcBavQPlj4DGajitfBgnL4RGFs6PYhnB50-3Za3omcCIAa84dRyh_bFaGQaSR6IvXMiZXI3ZYPpmJ9vt0GQ2dsR9wk02T_LBKc9rOygbSSPiSzNlTvz2NwUQEN-BOAxV2E-qj7uhGq0wRlKE8zIUBVCmiMBZkr1iEqEwbHHz0LZ8_9Jp_s3u8rfqiELC8xdfikBzQSdLd0uSdXcotXb80gtYd9uAsazXSZJH-pL8EHByzVWTfKEbuhOklBmSpD0zFEh06PIp_Y5tAZtPgHRfcxeDd5-bWTmgNixkD-E7dtfT_qw3DgTp2pmUk2WLWKsaHEmlA2fUtSTmQ85k16dt1yNaYa0D9Hw5sOzj5HRBvSpuNyKn4-GUL_skA5Rgkb27iF8li2FXAZpXLflT6BL82Uf3B4PepkzNJ11QzTKxZFanUJreX32IM8tYuGrlrau_qSWYp8O7gjfzqRRT5uQVnlYgGvRxLEGfycu1jWskNdc5PlZZes_sLc40jqOKSPODiX6_GiP5FyavYzzMmAgWTk8xa189swurXYz2BOUvw_QzADE82Gz6-qKfQJlpSoc-qN_X_xC3S0hx14GElHGbJ38Y4n0CBgF4s1mwwWNZBakn63ak593EF8vHYs64yuqOf7rVcobh9feZCLGc5zWGPBJiMuwZqhAlbO_ZXnUs9V0Q8aLp3GOvV5WNUABfg5hT-I-1KfuKQUoi4qtsEuJkLdsSwkmOZ6JhbPQrlHInMgtsNXLLGXAD1CqbGOS7trX_TgOMaxgqGimGPknXQWPYnx1Vff4rxX7mcMK9yU_Mg0m56PJnFR2j3BUX3LOc0YTrot4rO-oEORsc8FwMr9h\",\"summary\":[]}"},{"type":"toolCall","id":"call_Vn9BvzRANZ7xAHumv110vPs9|fc_0c8a53ba51d85cd1016a277f3ed8a481919887964d3b1f21b9","name":"bash","arguments":{"command":"curl -fsSL \"${AGENTS_DB_API:-http://100.116.176.16:8091}/api/search?q=Sebas interests preferences learning profile projects priorities&scope=global&scope=project&limit=10\""}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":5840,"output":76,"cacheRead":0,"cacheWrite":0,"totalTokens":5916,"cost":{"input":0.014600000000000002,"output":0.00114,"cacheRead":0,"cacheWrite":0,"total":0.01574}},"stopReason":"toolUse","timestamp":1780973369949,"responseId":"resp_0c8a53ba51d85cd1016a277f3a6f688191843bd7106be6f584"}}
{"type":"message","id":"723645f5","parentId":"1cdbd861","timestamp":"2026-06-09T02:49:41.020Z","message":{"role":"toolResult","toolCallId":"call_Vn9BvzRANZ7xAHumv110vPs9|fc_0c8a53ba51d85cd1016a277f3ed8a481919887964d3b1f21b9","toolName":"bash","content":[{"type":"text","text":"curl: (3) URL rejected: Malformed input to a URL function\n\n\nCommand exited with code 3"}],"details":{},"isError":true,"timestamp":1780973381020}}
{"type":"message","id":"53bfb99f","parentId":"723645f5","timestamp":"2026-06-09T02:49:51.077Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0c8a53ba51d85cd1016a277f484b648191ac45305330e0673c\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqJ39JWCP5lS1d_NSao3PMvCGd1yZCAE3KGNe9TNv8-4cU_1kc-l3sUignkqyGR9mSKo7xzrE1AoLFoOjPPvCAncgO4VboaoyeaEuoid4oXlKyozRx2R0c8ui7fpo_ScoNCt1JbS6O_Jp1CRN-f6VuTvJJgRB7gJ3JfDYEJNdLmHTGfmbx5qGQDxpXDjm8w-pfX0a5Jz0eR152DUC5EN8NSrzMfYCfzfv_xMztMptzoy_0t6iVKXW5kY0Y4w68aJFYh-9_jQGisIAKTxE3Q0lDciY9Y42D2TNcXogG7sN93miKKrXyLmbcbZuQ1AZ-LUBolZ2Gt-szMMooyvQEbIqHNMYV0XskDOrnWSKwKc-b1ksajOeDLmVQT9Q8mzl_5IKlXAH3zXHuqiHjOrCRKnGlTzgnXU-lu-xMZqdoaWDdLEWgeRzKeHxh-7Go35UIOEqk2woSB4EE6CzQCYDmpyqnkobbj2QiJQIGqk3UJZzAIxg_U8rUfl-uNe1CZADYMSUpkvMRXLBT_4FwKBVB_UQuYtuIQLNw3k50C82oaFTJLfxqsfIOtLe1V4meG8i2aOOwtD0LLZ0DhDemjexQWrYFCFsLFJkWKZwULA6_2G1IrCxTcvqMbMTedXcBwUDN8PwWsXE810NvK_c5IB2eKWE_UR3HaqxlkFS-q83zUY5j-i5JPGQ_CtKdom8U6ZRXWdELf0nG1oUfn9f3vnQYB8Baxmv4bXr1lykdepPaINJlZMwTxT6CQHOJT6cui4V0fQDihSYZJ2SR5Zj-WKqk5-TxRD8PCiwoPEWJumLoGzeFBpt9K2JWfR3wCmBjtbWQvOy6djRuJUMVIvHZmfarFZATnGObKAc56y1cjx053a3GYqFCJshgqDVzzCybXp9lt3SkFI3sXE7EPKh58raPzrUGSbjflhQoxsYC33zBFtgiizuBWqY=\",\"summary\":[]}"},{"type":"toolCall","id":"call_zXfEvymsaPRpInZJ5PA1urmQ|fc_0c8a53ba51d85cd1016a277f49e3948191bead1dae615be860","name":"bash","arguments":{"command":"python - <<'PY'\nimport urllib.parse\nq=urllib.parse.quote('Sebas interests preferences learning profile projects priorities')\nprint(q)\nPY"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":829,"output":59,"cacheRead":5120,"cacheWrite":0,"totalTokens":6008,"cost":{"input":0.0020725,"output":0.000885,"cacheRead":0.0012799999999999999,"cacheWrite":0,"total":0.0042375}},"stopReason":"toolUse","timestamp":1780973381021,"responseId":"resp_0c8a53ba51d85cd1016a277f457f508191be2958ddd9687e05"}}
{"type":"message","id":"7da3cfb0","parentId":"53bfb99f","timestamp":"2026-06-09T02:49:51.116Z","message":{"role":"toolResult","toolCallId":"call_zXfEvymsaPRpInZJ5PA1urmQ|fc_0c8a53ba51d85cd1016a277f49e3948191bead1dae615be860","toolName":"bash","content":[{"type":"text","text":"Sebas%20interests%20preferences%20learning%20profile%20projects%20priorities\n"}],"isError":false,"timestamp":1780973391115}}
{"type":"message","id":"9a402129","parentId":"7da3cfb0","timestamp":"2026-06-09T02:50:03.261Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_n9nDGY3xv2CfGFbnVbxwseQJ|fc_0c8a53ba51d85cd1016a277f55b3a0819194f11e81d20e0480","name":"bash","arguments":{"command":"curl -fsSL \"${AGENTS_DB_API:-http://100.116.176.16:8091}/api/search?q=Sebas%20interests%20preferences%20learning%20profile%20projects%20priorities&scope=global&scope=project&limit=10\""}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":410,"output":80,"cacheRead":5632,"cacheWrite":0,"totalTokens":6122,"cost":{"input":0.001025,"output":0.0012000000000000001,"cacheRead":0.001408,"cacheWrite":0,"total":0.0036330000000000004}},"stopReason":"toolUse","timestamp":1780973391116,"responseId":"resp_0c8a53ba51d85cd1016a277f4fa8908191a546553997dbb06e"}}
{"type":"message","id":"f5c87d26","parentId":"9a402129","timestamp":"2026-06-09T02:50:03.334Z","message":{"role":"toolResult","toolCallId":"call_n9nDGY3xv2CfGFbnVbxwseQJ|fc_0c8a53ba51d85cd1016a277f55b3a0819194f11e81d20e0480","toolName":"bash","content":[{"type":"text","text":"{\"retrieval_id\": \"ret_7169478aeb424fc1a8fb2f765ff75aee\", \"results\": [{\"memory\": {\"id\": \"mem_sebas_current_priorities\", \"type\": \"profile\", \"scope\": \"global\", \"status\": \"active\", \"project_id\": null, \"repo_id\": null, \"agent_id\": null, \"source_kind\": \"manual\", \"title\": \"Sebas current priorities\", \"content\": \"Current work priorities are Ballbox first, then Humand, then AI learning for future leverage. In parallel, personal priorities are friends, girlfriend, and family.\", \"summary\": \"Priorities: Ballbox, Humand, AI learning; in parallel friends, girlfriend, family.\", \"confidence\": 0.97, \"freshness\": 1.0, \"created_at\": \"2026-03-13T21:19:16.032647+00:00\", \"updated_at\": \"2026-03-13T21:19:16.032647+00:00\", \"observed_at\": \"2026-03-13T21:19:16.032647+00:00\", \"source_ref\": \"conversation:2026-03-13:user-questionnaire-followup\", \"evidence_ref\": \"conversation:2026-03-13:user-questionnaire-followup\", \"schema_version\": \"shared-agent-memory-v2\", \"subtype\": null, \"run_id\": null, \"task_id\": null, \"url\": null, \"domain\": null, \"origin_agent\": null, \"metadata\": {\"kind\": \"priority_fact\", \"speech_to_text_normalized\": [\"volvox->Ballbox\", \"Heman->Humand\"]}, \"embedding\": [0.5168775382814819, 0.4966450230215339, 0.40717936960645174, 0.3695595365449861, 0.27250668990742344, 0.25385483990215896, 0.18809916530732826, 0.09863351189224608]}, \"score\": 0.37347564799431876, \"score_breakdown\": {\"facet\": 0.0, \"lexical\": 0.42857142857142855, \"semantic\": 0.978028129485935, \"confidence\": 0.97, \"freshness\": 1.0}, \"matched_scope\": \"global\", \"evidence_ref\": \"conversation:2026-03-13:user-questionnaire-followup\", \"explanation\": \"facets=0.00 lexical=0.43 semantic=0.98 confidence=0.97 freshness=1.00\"}, {\"memory\": {\"id\": \"mem_4870951158a94c72ac1dd324c720731e\", \"type\": \"decision\", \"scope\": \"project\", \"status\": \"active\", \"project_id\": null, \"repo_id\": null, \"agent_id\": null, \"source_kind\": \"manual\", \"title\": \"rss-offline PDF uses reader-style print layout\", \"content\": \"In /home/sebas/work/projects/rss-offline/build.py, PDF generation was changed to a reader-style layout: feed label + article title header, consistent serif body / sans headings, stripped site classes/styles/nav/dialog noise, removed in-link SVG icons, bounded media sizing, and Chromium --no-pdf-header-footer for cleaner PDFs.\", \"summary\": \"In /home/sebas/work/projects/rss-offline/build.py, PDF generation was changed to a reader-style layout: feed label + article title header, consistent serif body / sans headings, s\\u2026\", \"confidence\": 1.0, \"freshness\": 1.0, \"created_at\": \"2026-06-02T15:00:21.183318+00:00\", \"updated_at\": \"2026-06-02T15:00:21.183318+00:00\", \"observed_at\": \"2026-06-02T15:00:21.183318+00:00\", \"source_ref\": \"conversation:2026-06-02-telegram-rss-pdf-ux\", \"evidence_ref\": null, \"schema_version\": \"shared-agent-memory-v2\", \"subtype\": \"ux_formatting\", \"run_id\": null, \"task_id\": null, \"url\": null, \"domain\": null, \"origin_agent\": \"personal-agent\", \"metadata\": {}, \"embedding\": null}, \"score\": 0.1857142857142857, \"score_breakdown\": {\"facet\": 0.0, \"lexical\": 0.2857142857142857, \"semantic\": 0.0, \"confidence\": 1.0, \"freshness\": 1.0}, \"matched_scope\": \"project\", \"evidence_ref\": null, \"explanation\": \"facets=0.00 lexical=0.29 semantic=0.00 confidence=1.00 freshness=1.00\"}, {\"memory\": {\"id\": \"mem_bb53229e06914ac4a5aa51fee72455b3\", \"type\": \"profile\", \"scope\": \"global\", \"status\": \"active\", \"project_id\": null, \"repo_id\": null, \"agent_id\": null, \"source_kind\": \"manual\", \"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.\", \"summary\": \"From the top improvement list, Sebas prioritizes: 12 better durable artifact creation, 15 better default product sense, 6 better autonomous validation, and 10 stronger communicati\\u2026\", \"confidence\": 1.0, \"freshness\": 1.0, \"created_at\": \"2026-05-24T14:07:42.671705+00:00\", \"updated_at\": \"2026-05-24T14:07:42.671705+00:00\", \"observed_at\": \"2026-05-24T14:07:42.671705+00:00\", \"source_ref\": \"telegram:2026-05-24\", \"evidence_ref\": null, \"schema_version\": \"shared-agent-memory-v2\", \"subtype\": \"working_preference\", \"run_id\": null, \"task_id\": null, \"url\": null, \"domain\": null, \"origin_agent\": \"personal-agent\", \"metadata\": {}, \"embedding\": null}, \"score\": 0.1857142857142857, \"score_breakdown\": {\"facet\": 0.0, \"lexical\": 0.2857142857142857, \"semantic\": 0.0, \"confidence\": 1.0, \"freshness\": 1.0}, \"matched_scope\": \"global\", \"evidence_ref\": null, \"explanation\": \"facets=0.00 lexical=0.29 semantic=0.00 confidence=1.00 freshness=1.00\"}, {\"memory\": {\"id\": \"mem_fc344ecfd47a4f1cb669306f791a26f1\", \"type\": \"decision\", \"scope\": \"project\", \"status\": \"active\", \"project_id\": null, \"repo_id\": null, \"agent_id\": null, \"source_kind\": \"manual\", \"title\": \"BB-004 EPUB-first offline pack\", \"content\": \"For BB-004 rss-offline, Sebas chose an EPUB-first offline pack path for iPhone reliability instead of relying on Safari cache as the main offline layer. A first working EPUB export was added in /home/sebas/work/projects/rss-offline/build.py and published at /rss-offline/rss-offline-latest.epub from the existing rebuild flow.\", \"summary\": \"For BB-004 rss-offline, Sebas chose an EPUB-first offline pack path for iPhone reliability instead of relying on Safari cache as the main offline layer. A first working EPUB expor\\u2026\", \"confidence\": 1.0, \"freshness\": 1.0, \"created_at\": \"2026-05-20T09:10:41.754792+00:00\", \"updated_at\": \"2026-05-20T09:10:41.754792+00:00\", \"observed_at\": \"2026-05-20T09:10:41.754792+00:00\", \"source_ref\": \"conversation:2026-05-20-rss-epub\", \"evidence_ref\": null, \"schema_version\": \"shared-agent-memory-v2\", \"subtype\": null, \"run_id\": null, \"task_id\": null, \"url\": null, \"domain\": null, \"origin_agent\": \"personal-agent\", \"metadata\": {}, \"embedding\": null}, \"score\": 0.1857142857142857, \"score_breakdown\": {\"facet\": 0.0, \"lexical\": 0.2857142857142857, \"semantic\": 0.0, \"confidence\": 1.0, \"freshness\": 1.0}, \"matched_scope\": \"project\", \"evidence_ref\": null, \"explanation\": \"facets=0.00 lexical=0.29 semantic=0.00 confidence=1.00 freshness=1.00\"}, {\"memory\": {\"id\": \"mem_b2016fa04f8546389dc9caaa231b8268\", \"type\": \"project\", \"scope\": \"global\", \"status\": \"active\", \"project_id\": null, \"repo_id\": null, \"agent_id\": null, \"source_kind\": \"manual\", \"title\": \"ballbox-first work tree lives under home/work\", \"content\": \"On ballbox-first, active projects/tools/admin scripts were consolidated under /home/sebas/work with projects under /home/sebas/work/projects, tools under /home/sebas/work/tools, admin scripts under /home/sebas/work/admin, and scratch under /home/sebas/work/scratch. Live references and docs were updated to avoid stale old home-root paths.\", \"summary\": \"On ballbox-first, active projects/tools/admin scripts were consolidated under /home/sebas/work with projects under /home/sebas/work/projects, tools under /home/sebas/work/tools, a\\u2026\", \"confidence\": 1.0, \"freshness\": 1.0, \"created_at\": \"2026-05-08T12:45:41.968853+00:00\", \"updated_at\": \"2026-05-08T12:45:41.968853+00:00\", \"observed_at\": \"2026-05-08T12:45:41.968853+00:00\", \"source_ref\": \"conversation:2026-05-07\", \"evidence_ref\": null, \"schema_version\": \"shared-agent-memory-v2\", \"subtype\": \"layout\", \"run_id\": null, \"task_id\": null, \"url\": null, \"domain\": null, \"origin_agent\": \"personal-agent\", \"metadata\": {}, \"embedding\": null}, \"score\": 0.1857142857142857, \"score_breakdown\": {\"facet\": 0.0, \"lexical\": 0.2857142857142857, \"semantic\": 0.0, \"confidence\": 1.0, \"freshness\": 1.0}, \"matched_scope\": \"global\", \"evidence_ref\": null, \"explanation\": \"facets=0.00 lexical=0.29 semantic=0.00 confidence=1.00 freshness=1.00\"}, {\"memory\": {\"id\": \"mem_93c0669e3d064fc29b8142d201f923af\", \"type\": \"project\", \"scope\": \"global\", \"status\": \"active\", \"project_id\": null, \"repo_id\": null, \"agent_id\": null, \"source_kind\": \"manual\", \"title\": \"ballbox-first no longer depends on /mnt/rpi for home symlinks and core services\", \"content\": \"On 2026-05-05, symlinked home paths and core service/runtime paths were repatriated from /mnt/rpi to internal storage under /home/sebas. Moved ballbox, caches, browser profiles, eiffel-monitor venv, agents-database, pi-config service paths, browser-harness, pi-jobs, and qBittorrent media dirs. Removed /mnt/rpi mount from /etc/fstab and unmounted it. Verified agents-database, session-memory-dispatcher, eiffel-monitor, and pi-job-status-writer run from internal paths. ttyd-browser remains broken because ttyd binary is missing, which was already failing before migration.\", \"summary\": \"On 2026-05-05, symlinked home paths and core service/runtime paths were repatriated from /mnt/rpi to internal storage under /home/sebas. Moved ballbox, caches, browser profiles, e\\u2026\", \"confidence\": 1.0, \"freshness\": 1.0, \"created_at\": \"2026-05-05T15:35:05.790012+00:00\", \"updated_at\": \"2026-05-05T15:35:05.790012+00:00\", \"observed_at\": \"2026-05-05T15:35:05.790012+00:00\", \"source_ref\": \"conversation:2026-05-05-/mnt-rpi-repatriation\", \"evidence_ref\": null, \"schema_version\": \"shared-agent-memory-v2\", \"subtype\": \"infrastructure\", \"run_id\": null, \"task_id\": null, \"url\": null, \"domain\": null, \"origin_agent\": \"personal-agent\", \"metadata\": {}, \"embedding\": null}, \"score\": 0.1857142857142857, \"score_breakdown\": {\"facet\": 0.0, \"lexical\": 0.2857142857142857, \"semantic\": 0.0, \"confidence\": 1.0, \"freshness\": 1.0}, \"matched_scope\": \"global\", \"evidence_ref\": null, \"explanation\": \"facets=0.00 lexical=0.29 semantic=0.00 confidence=1.00 freshness=1.00\"}, {\"memory\": {\"id\": \"mem_c31126352498447c8cb92069cb167397\", \"type\": \"profile\", \"scope\": \"global\", \"status\": \"active\", \"project_id\": null, \"repo_id\": null, \"agent_id\": null, \"source_kind\": \"manual\", \"title\": \"Durable operational preferences live in agents-database\", \"content\": \"Sebas wants durable workflow preferences, approval conventions, repo policies, and operator habits persisted in ~/agents-database as the cross-agent source of truth, not left only in Codex internal approval/state storage.\", \"summary\": \"Sebas wants durable workflow preferences, approval conventions, repo policies, and operator habits persisted in ~/agents-database as the cross-agent source of truth, not left only\\u2026\", \"confidence\": 1.0, \"freshness\": 1.0, \"created_at\": \"2026-03-14T17:58:17.768921+00:00\", \"updated_at\": \"2026-03-14T17:58:17.768921+00:00\", \"observed_at\": \"2026-03-14T17:58:17.768921+00:00\", \"source_ref\": \"thread:019ce96f-c29f-71f3-b9bd-d299fa819dcc\", \"evidence_ref\": \"user-statement:2026-03-14\", \"schema_version\": \"shared-agent-memory-v2\", \"subtype\": null, \"run_id\": null, \"task_id\": null, \"url\": null, \"domain\": null, \"origin_agent\": null, \"metadata\": {\"kind\": \"profile_fact\"}, \"embedding\": null}, \"score\": 0.1857142857142857, \"score_breakdown\": {\"facet\": 0.0, \"lexical\": 0.2857142857142857, \"semantic\": 0.0, \"confidence\": 1.0, \"freshness\": 1.0}, \"matched_scope\": \"global\", \"evidence_ref\": \"user-statement:2026-03-14\", \"explanation\": \"facets=0.00 lexical=0.29 semantic=0.00 confidence=1.00 freshness=1.00\"}, {\"memory\": {\"id\": \"mem_sebas_definition_of_leverage\", \"type\": \"profile\", \"scope\": \"global\", \"status\": \"active\", \"project_id\": null, \"repo_id\": null, \"agent_id\": null, \"source_kind\": \"manual\", \"title\": \"Sebas definition of leverage\", \"content\": \"For Sebas, leverage means taking advantage of competitive advantages already available to him.\", \"summary\": \"Leverage means exploiting available competitive advantages.\", \"confidence\": 1.0, \"freshness\": 1.0, \"created_at\": \"2026-03-13T21:26:33.704753+00:00\", \"updated_at\": \"2026-03-13T21:26:33.704753+00:00\", \"observed_at\": \"2026-03-13T21:26:33.704753+00:00\", \"source_ref\": \"conversation:2026-03-13:user-questionnaire-followup-2\", \"evidence_ref\": \"conversation:2026-03-13:user-questionnaire-followup-2\", \"schema_version\": \"shared-agent-memory-v2\", \"subtype\": null, \"run_id\": null, \"task_id\": null, \"url\": null, \"domain\": null, \"origin_agent\": null, \"metadata\": {\"kind\": \"definition\", \"topic\": \"leverage\"}, \"embedding\": [0.4976683678402658, 0.47781972671044975, 0.36405312511272364, 0.30644365451642824, 0.3190305976719214, 0.2570641082910322, 0.25125474991157387, 0.2580323346876086]}, \"score\": 0.29246919348037864, \"score_breakdown\": {\"facet\": 0.0, \"lexical\": 0.14285714285714285, \"semantic\": 0.9974136708215722, \"confidence\": 1.0, \"freshness\": 1.0}, \"matched_scope\": \"global\", \"evidence_ref\": \"conversation:2026-03-13:user-questionnaire-followup-2\", \"explanation\": \"facets=0.00 lexical=0.14 semantic=1.00 confidence=1.00 freshness=1.00\"}, {\"memory\": {\"id\": \"mem_sebas_pattern_starts_without_finishing\", \"type\": \"profile\", \"scope\": \"global\", \"status\": \"active\", \"project_id\": null, \"repo_id\": null, \"agent_id\": null, \"source_kind\": \"manual\", \"title\": \"Sebas pattern: starts things and may not finish them\", \"content\": \"A pattern Sebas wants agents to detect is starting things and not finishing them. He wants help recognizing that a lot of value comes from disciplined completion.\", \"summary\": \"Important pattern to catch: starting without finishing; completion and discipline create value.\", \"confidence\": 1.0, \"freshness\": 1.0, \"created_at\": \"2026-03-13T21:36:20.595356+00:00\", \"updated_at\": \"2026-03-13T21:36:20.595356+00:00\", \"observed_at\": \"2026-03-13T21:36:20.595356+00:00\", \"source_ref\": \"conversation:2026-03-13:user-questionnaire-followup-3\", \"evidence_ref\": \"conversation:2026-03-13:user-questionnaire-followup-3\", \"schema_version\": \"shared-agent-memory-v2\", \"subtype\": null, \"run_id\": null, \"task_id\": null, \"url\": null, \"domain\": null, \"origin_agent\": null, \"metadata\": {\"kind\": \"behavior_pattern\"}, \"embedding\": [0.514722219696282, 0.47259850609586834, 0.39980577294427644, 0.320361927118935, 0.2993000703187282, 0.2834113011536599, 0.19953338021248546, 0.19879436769317996]}, \"score\": 0.2917580080795506, \"score_breakdown\": {\"facet\": 0.0, \"lexical\": 0.14285714285714285, \"semantic\": 0.9926724348160517, \"confidence\": 1.0, \"freshness\": 1.0}, \"matched_scope\": \"global\", \"evidence_ref\": \"conversation:2026-03-13:user-questionnaire-followup-3\", \"explanation\": \"facets=0.00 lexical=0.14 semantic=0.99 confidence=1.00 freshness=1.00\"}, {\"memory\": {\"id\": \"mem_sebas_apartment_interior_design_goal\", \"type\": \"profile\", \"scope\": \"global\", \"status\": \"active\", \"project_id\": null, \"repo_id\": null, \"agent_id\": null, \"source_kind\": \"manual\", \"title\": \"Sebas apartment interior design goal\", \"content\": \"Personal objective: improve Sebas's apartment through interior design over time. Desired atmosphere: relaxing, aesthetic, natural. Style preference: between Japandi and Scandinavian; minimalist but not extreme; natural colors, greens, many plants.\", \"summary\": \"Wants a relaxing apartment aesthetic: Japandi/Scandinavian, minimal but warm, natural colors, greens, many plants.\", \"confidence\": 1.0, \"freshness\": 1.0, \"created_at\": \"2026-03-13T22:11:51.271332+00:00\", \"updated_at\": \"2026-03-13T22:11:51.271332+00:00\", \"observed_at\": \"2026-03-13T22:11:51.271332+00:00\", \"source_ref\": \"conversation:2026-03-13:apartment-interior-design-goal\", \"evidence_ref\": \"conversation:2026-03-13:apartment-interior-design-goal\", \"schema_version\": \"shared-agent-memory-v2\", \"subtype\": null, \"run_id\": null, \"task_id\": null, \"url\": null, \"domain\": null, \"origin_agent\": null, \"metadata\": {\"desired_effect\": \"relaxation\", \"domain\": \"home\", \"kind\": \"personal_goal\", \"style_preferences\": [\"japandi\", \"scandinavian\", \"minimalist\", \"natural_colors\", \"greens\", \"plants\"]}, \"embedding\": [0.4769124536670766, 0.4425071368648336, 0.4160781391828339, 0.36238679704507765, 0.3256004894606726, 0.2850045966248081, 0.2558374595433219, 0.1400022579911338]}, \"score\": 0.29173572460908087, \"score_breakdown\": {\"facet\": 0.0, \"lexical\": 0.14285714285714285, \"semantic\": 0.9925238783462539, \"confidence\": 1.0, \"freshness\": 1.0}, \"matched_scope\": \"global\", \"evidence_ref\": \"conversation:2026-03-13:apartment-interior-design-goal\", \"explanation\": \"facets=0.00 lexical=0.14 semantic=0.99 confidence=1.00 freshness=1.00\"}]}"}],"isError":false,"timestamp":1780973403334}}
{"type":"message","id":"96b99314","parentId":"f5c87d26","timestamp":"2026-06-09T02:50:19.155Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0c8a53ba51d85cd1016a277f628e348191b4bf468a4f1e5563\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqJ39pmnstd63c5Bxy_HeFFHPAzDEmZEQcc9LFOi-vxir7VNQBsTyOSNwrRZAqMBgf4b86rhsiab1ufsH7Q5CIFPVJtleci8FMlKOJ-pA5NcluNmIN3Gc5kDD_9NTuw3tNiQPtihHd1LNbau0RAQ15dgviGy0aLFtBhLdxfHcQEQS_oceHmay8Os3DRmINvwlGuv5an7_c5tFyVTWwjhH2FKT9TBzEsuWng7I09bQk5x85RZ7nzoh63cgT_H7dR0A4nCaBRB9orl8lDOAdWxfgRkXl_-ev06dJrlqlliRO-wd7Qc-dGRFMSXXibwLVqztg4XJ4Zmc5RUs_5i5CDMPkHznR-i8QscRy1rZwnfpxBPqpFXqhZpzO0s4-d5xe-GFpn34HFwGoMJNUPSG8WXyNravxGtmHntonjApRbrg-CU6Ac0rKieo1LnxcnhCk2_TD8ev6C-JFkdykynRCbfg90OiEg95W_2lF_ZrMhz__7yjVLxnzSUrx_IGAqgMHmFWb5kwgZ4p0csVKGQGHDAtl2xl8ecHCGPPKVP5uRv6-68S5mNAPVovDGGiQnzqI0SjOsIRHzuv4CzhkUL3r3I7o14N4eh4L-bSkh3rPLHWpxPnsW7Ka4M6LwMGGi3q5gD_dNzvACumDKsLdxNBVDdqjmbaerPaykywxtwsBKnRihAxJyHFrh6Gjc3wtxaeYW0Ro985KRffRMfCEY9wiHDdGgBwiuna_uwgighQQ941FS8OO4caAVRDIpyonxaP_weLv6zpYlRGeKrExPm-4yF9a-pBkcYgkrCfz1gK86UbdA3xngBNCsq1xT8MX2NwpJjS5nTWqY9cHIJ0TGcrl_56TTntg43GKx9TuAghhMCo8wqgPO3xv__LSFr0Sokrj-O94mfROQ47QsuBKXFv8Gz9IgFvhy76b--Gd5DsOnejTAM-HrHWh6Y_ynC2mgpXi9jnrDXE6Qg-apdqeXVwXaOyy5iQL_w==\",\"summary\":[]}"},{"type":"text","text":"Sí. Por lo que sé de vos, te convendría aprender temas con **apalancamiento directo** sobre tu trabajo y tu forma de operar:\n\n1. **IA aplicada a trabajo real**\n   - agentes\n   - evaluación/validación\n   - memoria durable\n   - automatización de flujos\n   - cómo convertir LLMs en sistemas útiles, no demos\n\n2. **Product sense / diseño de producto**\n   - priorización\n   - scope cutting\n   - UX simple\n   - distinguir “feature” de “valor real”\n\n3. **Sistemas y tooling personal**\n   - Linux\n   - tmux\n   - servicios self-hosted\n   - observabilidad básica\n   - deployment liviano\n   - scripts que te ahorren tiempo todos los días\n\n4. **Negocio y ejecución para Ballbox**\n   - distribución\n   - growth práctico\n   - pricing\n   - funnels\n   - research con usuarios\n   - ventas B2B si aplica\n\n5. **Disciplina de cierre**\n   - terminar\n   - definir done gates\n   - reducir work-in-progress\n   - hábitos de seguimiento  \n   Esto no suena sexy, pero por tu patrón de arrancar cosas, te daría mucho retorno.\n\n6. **Diseño visual / interior / estética funcional**\n   - porque ya te interesa el lado Japandi/Scandi\n   - puede servirte tanto en tu casa como en criterio visual de producto\n\nSi lo ordeno por retorno esperado para vos:\n\n- 1) IA aplicada\n- 2) producto\n- 3) negocio/growth\n- 4) sistemas/tooling\n- 5) disciplina de ejecución\n- 6) diseño/estética\n\nSi querés, te hago una versión más útil:\n**“qué aprender en los próximos 3 meses, en orden, con plan concreto”**.","textSignature":"{\"v\":1,\"id\":\"msg_0c8a53ba51d85cd1016a277f682f68819191772dd99925c0cf\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":5750,"output":407,"cacheRead":5632,"cacheWrite":0,"totalTokens":11789,"cost":{"input":0.014375,"output":0.006105,"cacheRead":0.001408,"cacheWrite":0,"total":0.021888}},"stopReason":"stop","timestamp":1780973403334,"responseId":"resp_0c8a53ba51d85cd1016a277f5bb1448191a3ecb2ccc5e82144"}}
{"type":"message","id":"c002cf1e","parentId":"96b99314","timestamp":"2026-06-09T02:51:11.983Z","message":{"role":"user","content":[{"type":"text","text":"negocio, que recursos recomendas?"}],"timestamp":1780973471982}}
{"type":"message","id":"8dc07d05","parentId":"c002cf1e","timestamp":"2026-06-09T02:51:23.642Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0c8a53ba51d85cd1016a277fa0e074819188f0f0daa2d9f2a9\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqJ3-hfJz97v2BKejkp7dMk8J1jBvReLYPBCe_7nm7-FANB4h8_n4ftdUJtgb_ElfsaJxAs9RUpurcwivWzGMlel5sgYw3NB2tfC6nZJQtf_n7RXrxaRo6MJ1XK1ueSGA8g6iqXh9R9rykcdPpC2Da73C3HaFJGtASviIMZnwAgg03Buyc3ax_Ab2LanJuOJMaa5A_iHAaCJpRoAZkCgQ4CV5cOU95lJoGJvdW140juUm3uqxtGAMCQp3tbmqQGErAJUs7Q5-uVPg_V2lBgfZLOIzeYtJukqtNldsSFVaHGOTBy4uidjRG3L5GgEHVY8y4Omjp-Ih2-Yd7PQFVyLg0bbMQyUCPj56rhU6MgUyJ3c3eAhbvRecus_s8Ig3g7MCIbn2Cejb4iXDOrqrHo80FxATRuVJ6TlrhENdifgRnkYnkT0eL6HWNjY2x6zFH1akspP6QwqDoywCLmCfb4KoQH_fAsjO0bLZtQXlLEYoCKavs8zQ1D439RKnr5Kps2D4x3ITdM3r1y0BzzoN_vveOFg7MpBTxPkovNLxjLlLdx953bcafr_eHOcqmMdYhTIPMA1fuonhYxBvrIUhy64zIJa9BjeGzxSXPEqj1G_j8hTwJ0EP8cLzOp5Z0-Z1lSibeqkVp6cvpm0Oa10hhmvrYHotAus-UGEqOBk5HCOnzDV3c-PbvYQN-uX7lROkXRTtHRerANvVqq0HbdpDyuNC-WLhirIL9cs3PW_FJP222P3FTHOmr-42Ayx406IjXD3FvimTu44NvxQqDDflh2u00t8jGlDs2J6lfb-cjRfK8S-Xh-ww6V-1-gt7WynQtxsaoPtqlb3pzrQTwB_0V01ggiivdTlP3A8XrWpmNCoJWEf5UlinzgbOsVnaXRj4dWUSI2cFGCOEbb50b7fMqkb1Mk8qujtC15Li--zOnDPdxjt-cPftMtXd4sEzeqXxay9NcpOAQK71PiPW5pAV4j4KfKQlItrTtWm2qc0760N09hiKtOHT_ZbyVqv6peewf9LH2_H6m\",\"summary\":[]}"},{"type":"text","text":"Sí. Para vos iría a **negocio práctico**, no MBA theory.\n\n## Orden\n\n1. **ventas**\n2. **distribución / growth**\n3. **pricing**\n4. **research con usuarios**\n5. **estrategia básica**\n\n## Recursos buenos\n\n### 1) Ventas\n- **Founding Sales** — Pete Kazanjy  \n  Bueno para vender como founder.\n- **The Mom Test** — Rob Fitzpatrick  \n  Clave para hablar con usuarios sin autoengañarte.\n- **Spin Selling** — Neil Rackham  \n  Más clásico, útil si hacés venta consultiva.\n\n### 2) Distribución / growth\n- **Traction** — Gabriel Weinberg, Justin Mares  \n  Buen marco para pensar canales.\n- **Lenny’s Newsletter**  \n  Muy bueno para growth, producto, pricing.\n- **Demand Curve**  \n  Bastante práctico en acquisition y messaging.\n\n### 3) Pricing\n- **Monetizing Innovation** — Madhavan Ramanujam  \n  Bueno para pensar valor y captura.\n- **Pricing pages de competidores**  \n  No libro, pero muy útil. Estudiarlas sistemáticamente da mucho.\n\n### 4) Research con usuarios\n- **The Mom Test**\n- **Deploy Empathy** — Michele Hansen  \n  Muy bueno para discovery serio.\n\n### 5) Estrategia simple\n- **Good Strategy Bad Strategy** — Richard Rumelt  \n  Muy buen filtro contra humo.\n- **7 Powers** — Hamilton Helmer  \n  Más denso, pero fuerte para ventaja competitiva.\n\n## Si querés material más liviano\n\n- **Y Combinator videos**\n- **Lenny’s Podcast**\n- **a16z podcast**, selectivo\n- founders en X, pero con cuidado:\n  mucho contenido parece negocio y es entretenimiento\n\n## Mi recomendación concreta para vos\n\nArrancaría así:\n\n- **The Mom Test**\n- **Founding Sales**\n- **Traction**\n- **Good Strategy Bad Strategy**\n\nEse set te da:\n- hablar mejor con clientes\n- vender\n- encontrar canales\n- pensar con más claridad\n\n## Cómo estudiarlo sin perderte\n\nNo leer por leer. Para cada recurso:\n- 1 idea\n- 1 cambio en Ballbox\n- 1 experimento real\n\nEjemplo:\n- leer capítulo\n- sacar hipótesis\n- probarla esa semana\n\nSi querés, te armo un **plan de estudio de negocio de 6 semanas aplicado a Ballbox**.","textSignature":"{\"v\":1,\"id\":\"msg_0c8a53ba51d85cd1016a277fa189b88191a41d595547606d08\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":6586,"output":541,"cacheRead":5120,"cacheWrite":0,"totalTokens":12247,"cost":{"input":0.016465,"output":0.008115,"cacheRead":0.0012799999999999999,"cacheWrite":0,"total":0.02586}},"stopReason":"stop","timestamp":1780973471983,"responseId":"resp_0c8a53ba51d85cd1016a277fa010cc8191972d422d0be4e1ee"}}