Back to corpus
research noteexperiment writeup candidatescore 26

Training Your Twin While You Sleep

It started as a question: what if an AI could make decisions the way I would? Not just respond to prompts, but actually understand the patterns — the preferences, the shortcuts, the instincts that I've developed over years of working this way?

Full HTML reader

Read the full artifact

Open in new tab

Extracted abstract or opening context

It started as a question: what if an AI could make decisions the way I would? Not just respond to prompts, but actually understand the patterns — the preferences, the shortcuts, the instincts that I've developed over years of working this way? On Valentine's night — the same night VisionClaw's glasses became a full agent proxy — the training finally launched. Building a cognitive twin isn't about dumping your entire digital footprint into a model. It's about curating the *decisions* that define you. Here's what went in: - **163K+ conversation turns from Supabase** — every interaction with my AI agents over the past year - **979 Claude Code sessions** — how I actually write code, debug problems, think through architecture - **5,347 Apple Notes** — stream of consciousness, ideas, plans, half-formed thoughts - **20 Discord channels** — how I communicate with my team of AI agents After corpus surgery — cleaning, deduplication, quality filtering — I had **43,173 SFT records** ready for training.

Promotion decision

What has to happen next

Attach run IDs, datasets, metrics, and reproduction commands.

Why this is not always a full paper yet

Corpus pages are public-safe readers for discovered workspace artifacts. They are not automatically final papers. A corpus item becomes a polished paper only after the editable source, evidence checkpoints, references, figures, render path, and release status are attached through the paper schema.