Agent Evaluation Harness
Compare coding agents on the same task, acceptance criteria, evidence standard, and definition of done.
THE PROMPT EVALUATION LAB
Make AI work earn its score.
Give agents the same task, the same definition of done, and the same evidence standard. Then compare the work you can actually verify.
ONE FAIR RUN01 / 03
Same taskSame repo, context, permissions, acceptance criteria, and time budget.
Independent checkInspect the diff, run the checks, and record what actually passed.
01Set the task
Fix the inputs and definition of done.
02Run the work
Record trajectory, retries, time, and cost.
03Verify the result
Score only what the evidence supports.
START HERE
Five workflows built for inspection.
These are fixtures and rubrics—not fake benchmark results.
Open prompt →
Agent Regression Suite Builder
Turn real agent tasks into a maintained suite that catches quality, safety, and reliability drift.
Prompt Library Builder
Turn a recurring GTM job into a reusable, tested, versioned prompt with examples and quality gates.
Website Conversion Audit
Audit a conversion path for audience clarity, intent match, proof, friction, accessibility, and qualified action.
GTM Stack Architecture
Design a GTM stack around ownership, handoffs, overlap, constraints, and the decisions the system must support.
THE HONEST LIMIT
No universal winner. Just better evidence.
A run tells you which agent or prompt fits a task class under stated conditions. It does not crown a model forever.