me model

a fine-tuned language model trained on your personal data: iMessages, email, Discord, notes/Obsidian, GitHub. the goal is an AI that genuinely understands you — your communication style, your knowledge, your projects, your relationships.

Fireworks AI was identified for the finetuning infrastructure. this is the foundation layer that several other ideas build on: OnCue needs your professional history, the always-on AI assistant needs your context, the personalized autocomplete needs your writing patterns, and the AI conversationalist needs your speaking style. the life search idea is essentially the query interface for a me model.

spreadsheet evaluation: originality 7/10, excitement 5/10, MVP 4-8 weeks. competitive landscape: Character.AI lets others create chatbots, Delphi.ai trains on specific people, Personal.ai builds from your data, Inflection Pi learns over time — none pull from iMessages + email + Discord + Obsidian + GitHub as a unified training corpus. data extraction is the hard part (iMessage needs local SQLite access, Discord export is limited, email needs OAuth). privacy implications significant. tech depth 8/10, labeled [STRONG] ("fine-tuning, data pipelines from iMessage/Discord/GitHub, eval — technically meaty but demo is weird: 'look, it talks like me'").

timeline

• [2025-12-22] captured in ideaflow — data sources and finetuning approach
• [2026-04-10] google sheets evaluation — 7/10 originality, 5/10 excitement, MVP 4-8 weeks, [STRONG] tier