IdentityPack: Portable identity for any LLM
Distill the context that makes an AI “get you” into a portable identity pack that survives model switches.
- Problem
- Users fear losing the personalized context that makes an AI assistant feel like theirs when accounts get banned. Manually distilling an identity pack and feeding it to different models works, but it's tedious and not reusable.
- Solution
- A local tool guides users to organize identity, response rules, current progress, and priorities into a structured identity pack. It injects the pack into Claude, Grok, ChatGPT, etc., and includes validation questions to verify consistency.
- Users
- Power users and small teams who rely heavily on one AI assistant but worry about bans or want freedom to switch models.
- MVP
- Step-by-step wizard to generate an identity pack template; 4 built-in validation questions; export as universal Markdown/JSON; one-click copy into major model chats; local-only storage.
- Revenue
- Free basic tier; subscription for multiple packs, version history, and team sharing; one-time desktop license.
- Why now
- Account bans and model migration anxiety are rising, and users increasingly see context as their own asset. Local-first tools avoid platform API restrictions.