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I dump all my private notes into an LLM and tell it to build me a site

I dump all my private notes into an LLM and tell it to build me a site

by elijahlucian·Feb 28, 2026·1 point·1 comment

AI Analysis

●●SolidRabbit HoleBig BrainWizardry

Deliberately removes guardrails to study hallucination as creative feature, not bug.

Strengths
  • Inverts the guardrails debate: treats hallucination as a design tool, not failure.
  • Real comparative data across Claude, Codex, Gemini shows meaningful model differences in interpretation.
  • Minimal instruction actually yields more interesting outputs than prompt-engineering — counterintuitive insight worth exploring.
Weaknesses
  • Primarily a blog post experience, not a reusable tool or platform others can fork.
  • No versioning, reproducibility, or API — can't replicate specific results or iterate systematically.
Category
Target Audience

Creative developers and AI researchers exploring model behavior and creative output.

Post Description

I’ve always found the concept of AI "hallucinations" fascinating. We constantly debate whether models are creative or just making stuff up, so I wanted to see what happens when you remove the guardrails entirely.

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.

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