Dump – easily share context with AI
llms.txt generation from whiteboards is clever, but Notion AI already shares context between chats.

Deliberately removes guardrails to study hallucination as creative feature, not bug.
Creative developers and AI researchers exploring model behavior and creative output.
Tresbuchet is a publishing experiment. I drop a loose prompt into the agent along with a folder full of random text files, chat logs, and thoughts I’ve accumulated over the years. No specific instructions, no schema, no guidance on how to style it. I just tell it to "Go."
It reads the unstructured text and generates a completely new iteration of the site based on how it interprets the data.
It's been interesting tracking how different platforms (Claude, Codex, Gemini) handle the exact same mess of text differently. I've found that giving the models less instruction actually yields more interesting UI and copy results than trying to prompt-engineer a specific outcome.
I'm just building stuff to see what the models do when left to their own devices.
Curious what you guys think of the approach.
llms.txt generation from whiteboards is clever, but Notion AI already shares context between chats.
Pinterest organization—boards + tags + searchable notes, like a filing cabinet.
On-device AI processing keeps sensitive medical data off the cloud.
Last-write-wins sync you self-host for $3/mo, but Obsidian/Logseq already own this.
Publish curated note subsets as microsites when Obsidian Publish only does one site.
Note-to-content pipeline with AI agents, but Obsidian + ChatGPT already does this for free.