01In testing

Cadence.
AI coaching that remembers.

A consumer wellness app with AI coaching built in, and a working testbed for the AI patterns we ship to client systems. Conversational logging, persistent memory, adaptive complexity.

02What it proves

Four patterns we built here first.

Each one carries directly into client work. Different domain, same shape.

PATTERN 01INTERFACE
Conversation-as-logging
Natural-language inputs parse into structured records on the way in. No forms, no fields. The assistant asks one follow-up if it needs to, writes the record, moves on.
PATTERN 02MEMORY
Persistent user memory
Injuries, preferences, coaching style remembered across sessions and surfaced where they matter. Not a chat history. A profile the assistant actively curates.
PATTERN 03TOOLS
Read-write profile access
Forty-plus AI tools the assistant calls to read and update the user's wellness state. The pattern under any agent that needs to act on data, not just answer about it.
PATTERN 04ADAPTIVE
Complexity that grows
Coaching starts with beginner cues and scales toward barbell programming as the user grows. The assistant calibrates its depth from behavior, not a settings toggle.
03Why it exists

Real build, not a demo.

Cadence is built as a real, working product, not a pitch mockup. That's the point. Patterns that have to hold together in something real get sharper than ones staged for a slide. What survives here is what we carry into client work.

04Build state

Now and next.

Closed beta when the daily flow feels right under real use.

// NOW
  • Daily check-in flow and weekly rhythm view
  • Pattern-aware nudges tuned to context, not calendars
  • Private-by-default storage with on-device summarization
05If your work looks like this

Same patterns, your domain.

If you're building a system that needs conversational input, persistent memory, or assistants that act on data instead of just answer questions, get in touch.

ENCRYPTED · DIRECT