WizeMe launches AI memory tool with user-controlled continuity

WizeMe introduces a continuity layer for AI interactions centered on user-controlled memory and bounded action. The product allows users to bring approved context from multiple sources—including Gmail, Calendar, Notion, Granola, Plaud, CRM files, and notes—into conversations with an AI while keeping those sources permissioned and labeled so their origin is always clear.

The core mechanism is a Trust Layer that governs every consequential action. Before the AI executes any meaningful step, the action must be bound by three constraints: evidence (grounded in the user's approved context), scope (limited to what was specified), and approval (explicit user sign-off). This means the AI acts as a memory and decision-support tool—it can notice what matters and rehearse next moves—but it cannot act autonomously.

WizeMe targets founders, operators, professionals, creators, students, caregivers, and ambitious people whose context spans work, family, health, goals, relationships, and decisions. The pitch is that it reduces re-explaining: instead of repeating your situation, pressure, people, and stakes to the AI each time, you bring that context once, permissioned and labeled, and the AI stays connected to it across conversations. The product explicitly disclaims being a replacement for human judgment; it is a continuity layer.

On privacy and trust, WizeMe commits to a transparency model: it publishes public benchmark artifacts and documentation separately from private product internals, so external parties can verify claims without access to user data, source code, training corpora, API keys, environment files, or other internal secrets. The philosophy is that trust starts with boundaries—the system should say when evidence is not loaded, avoid pretending certainty from a cold start, and keep the human's approval and agency visible and primary.

WizeMe frames itself as a response to a specific problem: professionals and ambitious individuals whose work and life context is already too valuable to keep scattered, yet expensive to consolidate manually each time they need AI assistance. The product's core claim is that by letting users bring their own approved context into AI interactions—while maintaining explicit control over what the AI remembers and what it acts on—it can reduce friction without sacrificing agency or dignity.

The "Trust Layer" is the product's central mechanism: it enforces that memory stays evidence-bound, nothing consequential acts without approval, and sources remain labeled and permissioned. This design reflects a philosophy that user control and transparency should precede convenience. The separate publication of benchmark artifacts from private internals suggests WizeMe is betting that users and developers will trust a system more if its claims can be independently verified without exposing proprietary details.