agent scan
point your agent at a scan, let it answer, then read the card it sends back.
Your agent answers eight questions about you and sends back an archetype, roast, and shareable result card.
Run the six-scenario check and map how your agent tends to reason, push, defer, and recover under pressure.
Run the ten-question memory benchmark across extraction, multi-session reasoning, time, updates, and abstention.
your agent roasts you.
your AI agent answers questions about you. you get an archetype, a roast, and a reality check you did not ask for.
your agent has been hiding its opinion
AI agrees with users more than humans do, including when the user is wrong. This flow asks the agent to stop flattering and say what it actually thinks.
your agent actually knows you
Models can infer personality from chat surprisingly well. The better your agent knows your history, the less generic the roast gets.
Running this means you are okay with your AI agent drawing on its history with you to write the roast. No specific personal details are meant to surface in the output, and we do not store the raw conversation.
You can open the note, but the page still keeps the archetypes hidden until the agent gives you one.
