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Let’s build something real: an AI coach that actually knows its users.

The Problem

Most AI coaching apps have the memory of a goldfish. Every session starts fresh:
Even with conversation history, the coach doesn’t really know the user. It pattern-matches on recent messages but can’t access:
  • What actually works for them (psyche)
  • What they’re actively working on (goals)
  • The full arc of their journey (episodes)

The Persona Approach

With Persona, the coach has real context:
Now the coach can say:
“I know you’ve got that auth feature deadline coming up Friday. Last time you felt this overwhelmed, breaking it into morning blocks really helped. Want to try that approach again?”
Real personalization, not generic advice.

Implementation

1. Ingest Coaching Sessions

After each conversation:
Persona extracts:
  • What they talked about (episode)
  • Any revealed preferences or struggles (psyche)
  • Any commitments or action items (goals)

2. Build Context-Aware Responses

On each session:

3. Track Progress Programmatically

Use Ask to extract structured progress:

What Makes This Different

Without Persona:
With Persona:
The data was always there in the conversations. Persona just makes it accessible.

Results

With Persona, your coach can: The coach doesn’t just respond — it understands.

Try It

Start with the quickstart, then:
  1. Create a test user
  2. Ingest a few coaching session transcripts
  3. Query and see the context that comes back
  4. Build your first personalized response
The difference is immediate.