STACKSWAP / FREE GTM LIBRARY

AI Agent Evaluation Harness Prompts

Run fair, repeatable tests for coding agents with the same task, acceptance criteria, evidence standard, and definition of done.

START HERE

Use the prompt that matches the decision in front of you.

THE LIBRARY

125 operator-built prompts for the GTM work in front of you.

Search the library

3 workflowsCopy-ready · platform-flexible · operator-built

AI-native operations

Compare coding agents on the same task, evidence standard, and definition of done—not vibes.

YOU'LL LEAVE WITHReusable task spec, acceptance rubric, evidence log, verification record, retry/cost ledger, and comparative scorecard.

Reusable task spec, acceptance rubric, evidence log, verification record, retry/cost ledger, and comparative scorecard.Open →

AI-native operations

Turn real agent tasks into a maintained regression suite that catches quality, safety, and reliability drift.

YOU'LL LEAVE WITHTask dataset, expected outcomes, evaluators, release gate, and regression report.

Task dataset, expected outcomes, evaluators, release gate, and regression report.Open →

AI-native operations

Make agent evaluation trustworthy by calibrating human, code, and model judges against clear examples.

YOU'LL LEAVE WITHScoring rubric, anchor examples, judge comparison, disagreement log, and calibrated evaluator.

Scoring rubric, anchor examples, judge comparison, disagreement log, and calibrated evaluator.Open →