docs: Werkbaum-Plan — AI-Integration als Idee notiert (#ai)
LLM oder Agentic AI mit eigenem API-Key anbinden, um den Plan im Dialog zu bearbeiten; llms.md als Grundlage des System-Prompts. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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Claude Fable 5
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@@ -19,6 +19,7 @@ reverse.
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## 2026-08-25
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- An AI integration recorded as an idea in the plan — edit the tree in a dialogue, with your own API key and `llms.md` as the model's guide
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- A warning flags the bottleneck when one `@name` carries more than half of the open work on the cheapest path — their tag pills turn amber on the open nodes
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- The estimated size of an unsized node now prices the remaining work — done sub-packages drop out, and a subtree with everything named done counts as XS
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- The fold chip is solid white with an ink glyph now — the translucent box vanished on the pastel node colours
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@@ -196,6 +196,10 @@
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- [-] #trk.plugin: A plugin inside Taiga itself (L) %% legacy frontend, self-hosted only
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= [?] #trk.tenzu: Tenzu, the successor (XXL) https://tenzu.net
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= [ ] #trk.none: No tracker, plain text is enough (XS)
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- [?] #ai: AI integration (XL)
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- [?] #ai.dialog: Edit the plan in a dialogue with the AI (L)
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- [?] #ai.key: Bring your own API key, no server in between (M)
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- [?] #ai.ground: llms.md grounds the model in the notation (S)
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---
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#wb
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@@ -1034,3 +1038,24 @@
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#trk.none
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The honest alternative: a plan in a text file may simply be enough. It is
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the cheapest node in this group, and the cheapest path duly picks it.
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#ai
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Connect an LLM or an agentic AI to the editor, so the plan can be shaped in
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conversation instead of by hand alone. An idea for now: the pieces exist
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(the text is the whole state, and llms.md already teaches agents to read
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and write it), but nothing here is designed yet.
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#ai.dialog
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A chat beside the diagram: ask for a decomposition, a size estimate or a
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restructuring, and the AI answers by editing the notation text — every
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change lands as an undoable text edit, with the human deciding what stays.
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#ai.key
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The user brings their own API key and the browser talks directly to the
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chosen provider — no Werkbaum server in between, following the D20/D23
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line: requests only at the user's request, only to the host they configure.
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#ai.ground
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The system prompt is essentially llms.md (D43): the agent guide already
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explains the notation for reading and writing, so the model needs no
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training — just the document and the request.
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