How it works
Toss in one line. AI works, verifies itself, and returns proof a human can read.
Toss it in
One line is enough. An incoming email or GitHub issue starts the work, even while away.
AI does the work
Plan, act, verify, on a loop. Genuine forks get a question; the answer resumes the work from that point.
It verifies and shows proof
"Done" is never taken on faith. A separate check verifies independently and shows what was checked and how sure, as a grade. A pass is never faked.
It remembers
Each correction accumulates in a knowledge graph. The same mistake is avoided from then on, and the knowledge is there to browse anytime.
Results, transparent as glass
Every result arrives as one Delivery Report: intent, work, checks, verdict, artifact. What was checked and how sure, shown honestly down to the grade.
Reusable skills
Save recurring work as a skill and call it the same way on any product. A weekly digest, a PR review, release notes: the way that works keeps building up.
A knowledge graph that grows
Decisions, preferences, rejections, and retrospectives accumulate as linked notes in a knowledge graph. The next task draws on it by itself, and what it knows is there to browse anytime.
Under the hood
Only the results show. The rest runs inside.
Execution
The engine that carries work to done
Cost-aware routing
Picks the right model for the job
Safe Mode
A settings toggle: hard-to-undo actions wait for approval
Memory & personalization
Learns how the work gets done