Spend Human Review Time Where It Matters

Manual review is scarce. ProofMap helps teams automate the obvious checks and focus people on failures, edge cases, and approval decisions.

Why Choose ProofMap

Use evaluations to catch repeatable issues before a reviewer spends time on them.

Surface failures and uncertain runtime mappings that need human judgment.

Keep humans in the loop for promotion decisions while removing repetitive inspection work.

Decision area	Ad hoc workflow	ProofMap
Model or provider change	Teams compare demos, skim logs, and make a judgment call under pressure.	Run baseline-versus-challenger evaluations and see pass/fail evidence before a change ships.
Cost and performance tradeoff	Savings, latency, and quality are discussed separately, usually without a shared source of truth.	Compare quality evidence with cost, runtime, and fallback options in the same qualification workflow.
Production approval	Prompts and model choices move through informal review or one-off scripts.	Only qualified prompt packages and runtime mappings are promoted for production use.
Incident readiness	Fallbacks are invented after prices change, providers fail, or behavior drifts.	Backup models, prompt mappings, and fallback policies are qualified before they are needed.

Can ProofMap replace human review?

No. It reduces repetitive review and gives humans better evidence for the decisions that still need judgment.

Where does review time go down first?

Teams usually save time on repeated prompt regressions, model comparisons, and rechecking known criteria.

Who is this for?

Teams building AI agents or LLM-backed workflows that need evidence before changing prompts, models, providers, or fallback policies.

What does ProofMap produce?

A qualification trail: objective-bound evaluations, failure evidence, recommendations, and approved prompt or runtime mappings for production use.

Let evaluations handle repeatable checks so reviewers can focus on the hard calls.