Personas your agents can embody
Spin up agents as product managers, engineers, designers, or users.
Each one brings a distinct lens to specs, code, and UX.
Typed personas. Built from customizable blocks with metadata and targeted metrics, so agents embody the same person the same way.
Weighted by kind. Group personas into kinds and weighting. Anti-personas count against scoring instead of for it.
Validated structure. Clones, gaps, and stale sections surface as findings.
A consistent model for customers, stakeholders, & users
Each persona is a profile assembled from metadata, goals, requirements, preferences, and suite of customizable sections. Agents can pull from a pool of personas to complete code and spec reviews, provide a unique perspective, and reveal gaps.
- Profiles built from customizable blocks›
- Personal goals, success criteria, pain points, feature requirements, and more ›
- Access from your AI tools (Claude, Cursor, ChatGPT...) ›
- Account for Anti-personas ›
Plan for threats & bad actors
before they find the gaps.
Anti-personas are bad actors: competitors, scrapers, fraudsters and anyone who wants to attack, threaten, damage or challenge your system and its users. Agents embody them to find the openings, and anything that works in their favor.
- Competitors probing for weak spots›
- Fraud, abuse, and account takeover›
- Scraping and waitlist gaming›
- Score drops when they succeed›
Weight what matters most
Not every customer counts equally. Weight your most important buyers up and edge cases down, so a review flags what moves revenue first instead of treating every complaint the same.
- Prioritize the customers that drive revenue›
- Keep edge cases visible without letting them dominate ›
- Threats always count against you›
Every persona right in your tools
Connect any MCP client. Agents fill worklists, run probes and file findings with your permissions. Each probe uses one credit, and every run is listed in Billing.