Make AI Onboarding Work the First Time
Self-serve onboarding is full of edge cases. ProofMap helps teams test whether AI guides, setup agents, and generated prompts behave correctly.
Get StartedWhy Choose ProofMap
Validate setup flows
Test tool connection, prompt generation, and configuration recommendations.
Catch confusing paths
Find where agents give bad setup advice, skip required steps, or over-request permissions.
Reduce support load
Fix onboarding failures before they turn into tickets or churn.
Comparison
| Moment | Without ProofMap | With ProofMap |
|---|---|---|
| Evidence request | Teams assemble screenshots, anecdotes, and raw logs after the question arrives. | Qualification reports show prompt, model, tool, fallback, and approval evidence. |
| Production change | Prompt, model, schema, or permission changes are reviewed informally. | Changes run through objective-bound evaluations before promotion. |
| Business pressure | Audits, launches, renewals, and customer escalations force rushed AI decisions. | Teams use existing tests and approved mappings to respond with confidence. |
| Developer workload | Developers chase failures across transcripts, tools, providers, and one-off integrations. | Failures become repeatable tests with clear evidence and approved fixes. |
Frequently Asked Questions
Why test AI onboarding separately?
Onboarding users have low context and low patience, so small agent mistakes cause outsized friction.
What can be evaluated?
Setup accuracy, tool selection, permission guidance, generated prompts, escalation, and successful first-run outcomes.
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.