AI-first, not AI-dependent
AI should accelerate work without making the community fragile when tokens, vendors, models, or tools are unavailable.
AI-first. Human-managed. Resilient by design.
AIFC - AI-First Community Standard
AIFC helps communities and companies use AI as a deep operating capacity without handing over purpose, responsibility, or institutional memory. It defines how values, knowledge, workflows, AI roles, governance, fallback modes, and human ownership stay connected.
What is AIFC?
AIFC describes how an AI-first community organizes its intent, knowledge, decisions, workflows, AI agents, human roles, security boundaries, and learning loops so AI can safely turn knowledge into action while humans remain responsible for direction.
Why it matters
Knowledge as source of truth
The community should preserve its operational knowledge in a readable, structured, and transferable form.
Human responsibility
AI can propose, analyze, and execute within scope, but humans and the community remain accountable for values, purpose, and direction.
Agent-actionable structure
The standard is written so people can read it and AI agents can operate against clear metadata, permissions, and source-of-truth boundaries.
Two ways in
Use the standard
Read the current AIFC draft as a structured reference: manifest, knowledge, governance, interfaces, security, compliance, and agent-actionable metadata.
Open AIFC StandardFollow the story
Read the living book behind the standard: why it emerged, what problems shaped it, and how the first reference community is being built with it.
Open The Road to AIFCWe are building the first AI-First Community demo
Follow the development of the first reference implementation of the AIFC standard: a human-managed, AI-first community with structured knowledge, governance, AI roles, fallback modes, and clear human responsibility.
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