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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mhoennig
2026-08-25 11:31:46 +02:00
co-authored by Claude Fable 5
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## 2026-08-25
- 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
- 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
- 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
- The fold chip is solid white with an ink glyph now — the translucent box vanished on the pastel node colours
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- [-] #trk.plugin: A plugin inside Taiga itself (L) %% legacy frontend, self-hosted only
= [?] #trk.tenzu: Tenzu, the successor (XXL) https://tenzu.net
= [ ] #trk.none: No tracker, plain text is enough (XS)
- [?] #ai: AI integration (XL)
- [?] #ai.dialog: Edit the plan in a dialogue with the AI (L)
- [?] #ai.key: Bring your own API key, no server in between (M)
- [?] #ai.ground: llms.md grounds the model in the notation (S)
---
#wb
@@ -1034,3 +1038,24 @@
#trk.none
The honest alternative: a plan in a text file may simply be enough. It is
the cheapest node in this group, and the cheapest path duly picks it.
#ai
Connect an LLM or an agentic AI to the editor, so the plan can be shaped in
conversation instead of by hand alone. An idea for now: the pieces exist
(the text is the whole state, and llms.md already teaches agents to read
and write it), but nothing here is designed yet.
#ai.dialog
A chat beside the diagram: ask for a decomposition, a size estimate or a
restructuring, and the AI answers by editing the notation text — every
change lands as an undoable text edit, with the human deciding what stays.
#ai.key
The user brings their own API key and the browser talks directly to the
chosen provider — no Werkbaum server in between, following the D20/D23
line: requests only at the user's request, only to the host they configure.
#ai.ground
The system prompt is essentially llms.md (D43): the agent guide already
explains the notation for reading and writing, so the model needs no
training — just the document and the request.