Show HN: WizeMe – governed AI continuity with user-controlled memory
A human-centered AI tool that ensures decisions are evidence-, scope-, and approval-bound before execution, protecting user agency. It integrates approved context from various sources like Gmail, Notion, and CRM, providing continuity without replacing human judgment. Designed for individuals managing scattered high-value context.
Human-centered performance continuity
Protect the human. Move the work. Keep the thread.
One private partner sees the pressure behind the decision, remembers approved context, tells you the useful truth, and builds the next move with you.
Start free with one thread See how it works
Your dignity, agency, and goals come first Memory and insight stay evidence-bound Nothing consequential acts without approval
Every consequential action is evidence-, scope-, and approval-bound by the Trust Layer before execution.
Bring it. Protect it. Move it.
Bring — Bring the real situation
The work, pressure, people, and stakes.
Protect — Protect what matters
Separate human pressure from the practical constraint.
Move — Advance one owned move
Leave with a decision, rehearsal, reminder, or next proof.
Bring approved context without losing its source.
Bring approved context from Gmail, Calendar, Notion, Granola, Plaud, CRM files, notes, and more. WizeMe keeps connected sources permissioned and source-labeled.
Built for people whose context is already too valuable to keep scattered.
Founders, operators, professionals, creators, students, caregivers, and ambitious people can use WizeMe to connect work, family, health, goals, notes, relationships, and decisions. It is not a replacement for human judgment. It is a continuity layer that helps you notice what matters sooner and act with less re-explaining.
Trust starts with boundaries.
WizeMe should say when evidence is not loaded, keep connected sources permissioned and source-labeled, and avoid pretending certainty from a cold start. Public benchmark artifacts and docs are published separately from private product internals so claims can be checked without exposing user data, source code, training corpora, API keys, environment files, or internal secrets.