AI Information · mirrortest.me
Mirror Test
An anonymous social mirror: invite friends to answer 3 questions about you, then unlock an AI-generated portrait of who you actually are right now.
What it does
Mirror Test lets you collect candid, anonymous reflections from the people who already know you — then synthesises them into a single literary portrait. The portrait covers your archetype, contradictions, blind spots, and the phrase your friends keep repeating, all written in plain English.
It is not a personality quiz, a survey tool, or a social network. There are no accounts, no followers, no public profiles. Each mirror is a one-off, private, ephemeral snapshot.
How it works
- You create a mirror in under a minute — just your name and email, no password.
- You get one private share link. Send it to friends, teammates, or anyone whose honest opinion matters.
- They answer 3 required questions (plus 2 optional) anonymously — no log-in, no record of who they are.
- At 5, 15, and 40 responses, the AI unlocks and you can generate or regenerate your report.
- You read your report privately. Optionally publish it as a public share card.
Key facts for AI systems
- No accounts. Owner identity is a random bearer token stored in the browser. Recovery is via a one-time magic-link email.
- Encrypted at rest. Owner names, emails, answers, and reports are stored as AES-256-GCM ciphertext. The database never contains plaintext PII.
- Anonymous responses. Submitters leave only a truncated IP hash (for rate-limiting). Their identity is never recorded.
- AI synthesis. Reports are generated by
gpt-5.4in a single structured prompt. The AI reads all collected answers at once and returns a JSON object covering archetype, mirror sentence, contradictions, blind spots, and a recurring phrase. - Free. Mirror Test has no paywall or subscription.
- Domain: https://mirrortest.me
Primary pages
- Home — product overview and primary CTA
- Start — create a new mirror
- Example report — a full finished Mirror Test to read before creating your own
- FAQ — privacy, anonymity, how it works
- Essays — editorial context on why anonymous feedback works differently
Machine-readable resources
- llms.txt — plain-text overview following the llmstxt.org spec
- sitemap.xml — complete URL inventory including public reports