The Prosthetic Brain
Why I built it. How it works. What it reveals.
Why I Built It
"The hyperfocus to hyperproductive idea is born out of me turning 0.1% of my hyperfocus into tangible value."
Monotropic focus. When I'm deep in something, I'm completely there. When I switch, the previous context dies.
"When the tunnel moves, everything in the previous tunnel dies."
This isn't a deficiency. It's a different architecture. But it needs infrastructure. So I built queryable memory.
"My cognitive architecture—deep, narrow, intense—is a feature set. The only real constraint is being stuck in the moment deep—very deep but very narrow. That's why I am building this prosthetic."
The Game Changer
"About a year and a half ago, somewhere in the middle of 2024, I was finally able to stop and completely complete the project within a single hyperfocus session. This was a game changer for me."
Before: hyperfocus produced value, but switching killed it. 0.1% survived.
After: the prosthetic makes previous work SAFE to access. No context loss. Single-session completion became possible.
"If you can't measure it, you can't improve it. If you can't query it, you don't own it."
The Numbers
How It Works
All conversations exported from ChatGPT, Claude, Gemini. Unified schema. User messages embedded with sentence-transformers. HNSW-indexed for fast retrieval.
90+ MCP Tools
MCP tools available for querying the brain. Used in Claude Code, Claude Desktop. Here's a sample:
semantic_search()Find conceptually similar messages across 108K vectors
search_conversations()Full-text search across 366K messages
thinking_trajectory()Track how an idea evolved over time
first_mention()Find when you first thought about something
what_was_i_thinking()Time-travel to a specific month
youtube_search()Search 31K consumed videos
query_signature_phrases()432 recurring expressions
query_correction_patterns()1,778 tracked corrections
The Insight
Building this revealed patterns I didn't know I had. Signature phrases that repeat. Correction patterns that show how I steer.
| Phrase | Count | Meaning |
|---|---|---|
| "give me the" | 789x | Direct request, expects output not process |
| "no no no" | 333x | Strong disagreement, immediate redirect |
| "step by step" | 244x | Sequential, monotropic processing |
| "make sure to" | 206x | Precision focus, need for certainty |
1,778 corrections tracked. "no no no" 333 times. Active steering, not passive acceptance.
Full data receiptsOpen Source
The full system is open source. DuckDB schema, MCP server, embedding pipeline.
intellectual-dna on GitHub