ABOUT AUTOBOTS
The Agent Reliability Engineer for production AI.
Autobots is being built to help sophisticated teams turn difficult production failures into causal diagnoses, reusable regression cases, and validated candidate fixes.
THE BELIEF
Every incident should improve the system.
AI systems should improve from observed behavior. They should not change themselves based on an unverified model opinion. Evidence, replay, human approval, and production measurement create the safer path.
THE APPROACH
Work with the evidence and stack teams already have.
Existing observability and evaluation tools are important. Autobots is designed to sit above them and focus on the labor-intensive work that begins after a failure is observed.
The early-access program is intentionally hands-on: start with one real incident, reconstruct what happened, identify missing evidence, and evaluate whether the workflow can materially improve reliability.
START WITH EVIDENCE
Bring us one agent failure your team could not explain quickly.
No generic sales demo. Start with a real production incident from your agent.