Stop scaling before the workflow is reliable

Turn an unreliable AI automation into a repairable system.

Most agent workflows fail quietly: a tool retries forever, state leaks between runs, a webhook returns the wrong shape, or nobody can prove what happened. The diagnostic turns that into evidence and a repair plan.

No generic chatbot pitch. The diagnostic produces the failure map, ranked root causes, reliability review, and prioritized repair plan.

Agent loop or timeout

The workflow keeps retrying, stalls on a missing tool precondition, or times out without a terminal result the operator can trust.

Webhook or API drift

The first run works, the next run fails, or the downstream tool gets a payload shape different from what the agent promised.

Client handoff risk

The build is impressive, but ownership, logs, secrets, failure recovery, and human approval boundaries are not ready for a paying client.