Diagnose · Agent Teardown

Prove the workflow before you fund the build.

Choose one repetitive workflow. We scope it together, build a working proof you can inspect, and return a clear production path. The fee is credited if the work continues into a build.

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Ask this first

If this worked reliably next week, which repeated workflow would give your team the most time or clarity back?

What this engagement is for

A small, inspectable answer to “will this actually work here?”

An Agent Teardown is for a team with a real workflow in mind but too much uncertainty to approve a production build responsibly.

The point is not a polished demo. It is a bounded proof, the constraints it exposes, and enough implementation detail to make the next decision with evidence.

  • Good fitOne repeated workflow is painful, observable, and narrow enough to test.
  • Not the right fitThe problem is still “we should do something with AI,” with no workflow or owner.
  • Engagement outcomeA working proof, observed limitations, and a production recommendation.
What you get

The payoff is visible before the next ask.

How it works

A finite path with a clear stopping point.

Proof posture
Compare nearby lanes

Agent Teardown starts with fit and scope.

Share the system, workflow, or decision in front of you. We will confirm whether this lane fits, identify the information needed to scope it, and recommend a smaller or different start when appropriate.