What fai is
What is fai?
You open a session. You name it after what you're working on. You work with your AI as normal. When you're done, you seal the session.
That's it. That's fai.
Behind the scenes: everything that happened - your AI conversation, your file changes, your decisions - was captured. Next session, your AI reads everything from before. No re-explaining. No lost context.
What it is
CORE IDEA
What fai actually is
fai is your AI workbench - a portable, persistent layer that sits between you and every AI tool you use. It makes every AI you work with smarter, and stays yours regardless of which tools or models exist tomorrow.
Not a coding agent. Not a model router. Not a memory plugin. A workbench - owned by you, git-backed, yours to inspect, modify, or export anytime.
Three things that make it yours
Travels with you
Your context travels with you - between projects, tools, and models. Start a session in VS Code, continue in Cursor. Switch from Claude to GPT. Your workbench comes along.
Session 50 > Session 1
Every session compounds on the last. Session 50 starts where session 49 ended. By month 2, your AI knows your naming conventions, your architectural decisions, your preferred patterns - not because you configured them, but because they emerged from how you work.
Works with any AI
Via MCP, any MCP-compatible AI reads your workbench. fai today supports Claude Code, Cursor, Windsurf, Cline, Codex, and more. New tools tomorrow: same workbench.
What grows when you use it
Your workbench accumulates three kinds of knowledge:
- This session - what you're working on right now
- This project - your stack, architecture decisions, naming conventions
- You - your patterns, preferences, and workflow instincts across every project
None of this is configured. It appears as you work.
The scale journey
fai is where you start - your personal workbench (YOU^AI). As your team grows, it becomes a shared workshop (TEAM^AI). When you're shipping products, a studio (PRODUCT^AI). For large organizations, a platform (ENTERPRISE^AI).
Same architecture underneath. Vocabulary adapts to where you are.
Next steps
By curiosity level:
- → Get started - do the thing first
- → Commands - what you actually type
- → How it works - vaults, sessions, knowledge flow (optional depth)
- → How intelligence grows - what appears over months