Test AI Behavior After Data Schema Changes

Agents depend on the shape of your data. ProofMap helps catch prompt, context, and tool failures after schemas shift.

Get Started

Why Choose ProofMap

TEST

Validate data access

Check whether agents still retrieve the right records and fields.

CTRL

Catch interpretation drift

Find cases where changed fields lead to wrong reasoning or tool choices.

OK

Approve updated behavior

Promote prompt and MCP tool updates only after they pass scenario tests.

Comparison

MomentWithout ProofMapWith ProofMap
Evidence requestTeams assemble screenshots, anecdotes, and raw logs after the question arrives.Qualification reports show prompt, model, tool, fallback, and approval evidence.
Production changePrompt, model, schema, or permission changes are reviewed informally.Changes run through objective-bound evaluations before promotion.
Business pressureAudits, launches, renewals, and customer escalations force rushed AI decisions.Teams use existing tests and approved mappings to respond with confidence.
Developer workloadDevelopers chase failures across transcripts, tools, providers, and one-off integrations.Failures become repeatable tests with clear evidence and approved fixes.

Frequently Asked Questions

Why do data schema changes affect AI agents?

Agents often rely on field names, tool descriptions, examples, and context patterns that can drift when data changes.

When should we run these tests?

Run them before database migrations, API changes, customer object changes, and analytics schema updates.

What makes this useful for developers?

It turns AI behavior changes into repeatable tests, reduces manual investigation, and provides concrete evidence for prompt, model, MCP, and runtime decisions.

What does ProofMap produce?

ProofMap produces objective-bound evaluations, failure evidence, recommendations, and approved prompt or runtime mappings for production use.

Protect data changes

Make schema changes prove they will not break agent workflows.

Start qualifying prompts