Promote Sandbox Agents With Confidence

Sandbox success is only the beginning. ProofMap helps teams decide whether an agent is ready for production systems and real users.

Why Choose ProofMap

Set criteria for quality, tool use, permissions, latency, cost, and handoff behavior.

MCP

Evaluate the agent against production-like data, workflows, and constraints.

Promote the prompt, runtime, and tool mapping that passes the gates.

Workflow	Without ProofMap	With ProofMap
Evaluate AI behavior	Teams rely on demos, logs, and manual spot checks.	Run objective-bound evaluations against prompts, models, MCP tools, and runtime mappings.
Handle change	Prompt, model, context, schema, memory, or vendor changes create hidden regressions.	Compare candidates to baselines and promote only qualified packages.
Support developers	Developers trace failures across tools, providers, data, and one-off scripts.	Failures become repeatable tests with clear evidence and recommended fixes.
Control production risk	Fallbacks, permissions, and degraded modes are invented when pressure hits.	Approved mappings and fallback paths are ready before launch, incidents, or migration deadlines.

What changes from sandbox to production?

Real users, real data, stricter permissions, uptime needs, cost limits, and incident response expectations.

Can ProofMap support staged promotion?

Yes. Teams can qualify an agent for internal use, limited beta, and broader production separately.

How does this save developer time?

It makes evaluation, debugging, approval, and regression testing repeatable instead of forcing developers to rebuild evidence for every AI change.

What does ProofMap produce?

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

Use evidence before sandbox agents reach production.