Features

An AI knowledge base your agents read natively: brand voice, personas, playbooks, decisions kept as living documents. Plain files underneath, every door in on top.

A shared prompt library for your team: every prompt carries its inputs, its context, and an approval state — draft, approved, or deprecated — so anyone gets the same output.

AI memory for your company: what agents learn is mined into candidate memories, a nightly sweep flags stale knowledge, and nothing becomes company truth until a person approves it.

AI workflow automation that stays governed: triggers fire agent runs against your approved playbooks, every run leaves a ledger, and the output lands as proposals — never straight into your library.

Human-in-the-loop review for your company knowledge: agents work all day, everything arrives as a proposal in one inbox, and nothing lands without a yes.

Agents as first-class identities: each one registered by name with its own expiring API key, so every proposal, every change, and every run answers "who did this."

An audit trail for everything your agents produce: the knowledge an output drew on, the human approval that shipped it, and whether that decision still stands — one connected trail.