Mirrors

Regression testing platform that replays real agent sessions to catch mistakes before production.

Overview

Mirrors is a regression testing platform for AI agents in production. It addresses a critical gap: when teams correct an agent's mistake, that correction often doesn't persist to the agent's next decision, leading to repeated errors. Mirrors captures corrections with context, surfaces them when relevant, and lets teams inspect whether outputs followed the guidance.

The platform is designed for technical teams deploying agents on real customer workflows where mistakes have consequences—like sending unapproved emails or missing project-specific requirements. Rather than adding every instruction to the system prompt, Mirrors scopes corrections to specific customers or projects and brings them back at the right moment in a long-running task.

Currently in early development, Mirrors is working directly with design partners to refine the workflow. The team is exploring how to integrate with existing agent stacks and evaluate whether prior corrections actually reduce repeated mistakes.

Key features

Capture corrections with scope and context
Surface relevant guidance at decision points
Inspect outputs against corrections
Scope corrections to customers, projects, or workflows
Early design partner program
Direct collaboration with founders

Pros

Addresses the gap between giving feedback and seeing it followed
Scopes guidance to relevant context rather than bloating system prompts
Lets teams inspect whether corrections were followed
Direct founder involvement for design partners
Built for irreversible actions (refunds, emails, record updates)

Cons

Still in early development, not yet production-ready
Does not guarantee agents will follow corrections
No measured reduction in mistakes yet established
Integration scope depends on individual workflow
Not offering universal self-serve integration at this stage

Use this if

You are running AI agents in production on customer workflows and need to prevent the same mistake from happening twice. You want to scope corrections to specific contexts rather than bloat your system prompt. You can work directly with a founding team on a focused prototype.

Skip this if

You need a fully self-serve, production-ready solution today. You are looking for guaranteed deterministic permission checks or approval gates. You need universal integration that works with any agent stack without custom discussion.

Best for

Teams deploying agents on production customer workflowsCatching and preventing recurring agent mistakesScoping corrections to specific customers or projectsInspecting agent outputs against prior correctionsWorkflows where agent errors have customer-facing consequences

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