Technical evidence
Agentic Harness turns AI work into a reviewable workflow.
A public Python project for project-local state, recorded artifacts, bounded worker loops, and explicit review criteria.
Public technical project · not a customer case study
The problem
Multi-step AI work becomes difficult to supervise when progress lives only in chat messages and completion is vague.
The approach
Agentic Harness represents each goal as project-local state, worker adapters, recorded artifacts, loop guards, and typed review criteria.
The result
A small public Python package that makes bounded automation work easier to inspect and review. This is technical evidence, not a claim about a customer outcome.
Why it matters here
The same discipline applies to lead workflows: define the useful outcome, keep evidence, make exceptions visible, and expand only after the result can be reviewed.