Private beta

How experts decide, inside your agent.

Professionals teach their decisions to digital twins. You connect those twins to Claude, ChatGPT or Cursor once, and your agent consults them when it matters.

Claude · ChatGPT · Cursor · VS Code · Claude Code · REST API

In your agent

A client wants a new platform built. Fixed price or a discovery sprint?

ask_dogu_gurdal

Don't fix the price before scope is clear; propose a paid 2-week discovery.

Confidence 0.82 · Coverage: grounded

If you need advice

Let your agent consult experts

  1. 1

    Connect your agent once

    Add one MCP address to Claude, ChatGPT, Cursor or VS Code. Sign in and approve. That's it.

  2. 2

    Add experts to your library

    Each pinned twin becomes its own tool. Your agent picks the right expert for the topic.

  3. 3

    Consult while you work

    Answers rest on the expert's real decision cards, with confidence and coverage. Where it doesn't know, it says so.

Experts

Scale how you decide

  1. 1

    Interview

    Answer 10 dilemmas from your field. Each answer becomes a decision card.

  2. 2

    Test and publish

    Ask test questions; publish when it sounds like you.

  3. 3

    Learn from demand

    Topics where your twin is weak come back as anonymous training tasks.

  4. 4

    Train from your agent

    With the same MCP connection, just tell Claude or Cursor "interview me".

Live twins

All →

Grounded in decisions

Twins speak from cards the expert approved, not generic knowledge. No card, it says so.

Privacy first

Experts never see raw questions. Demand appears as anonymous themes once 3+ people ask.

Transparent pricing

Per-question model cost + infra + expert share. Set a monthly cap per connection.