Judge-facing walkthrough

A clear, evidence-aware demo of how AI could coordinate mentorship access without pretending the demo is live AI.

The flow below is the same every time: a founder provides a synthetic intake, the demo shows explainable mentor candidates with caveats, a human approves the represented introduction, and the follow-up view shows a prepared meeting path. All of that is label-safe and reviewable offline.

Truth note: this is an interactive product prototype. It is designed to help judges inspect the workflow, not to claim production users, live mentors, or live Gemini inference.

What this page demonstrates

  • A deterministic intake-to-introduction mentor flow.
  • Explainable candidate ranking with visible caveats.
  • A human approval gate before the represented intro.
  • Evidence labels separating built, tested, simulated, and planned work.

What this page does not demonstrate

  • No live Gemini calls.
  • No real users or mentor inventory.
  • No production deployment or outcomes.
  • No traction, cost, staffing, or impact claims.
Step 1 • founder intake

Create a synthetic founder profile

Type a short founder description or load a sample. The demo uses deterministic rules to map the intake into a structured profile.

Use this box to describe the founder’s business, stage, and needs. The text is treated as synthetic demo input.
Synthetic founder description used to generate the deterministic profile.
Structured profile
Consumer brand founder with early-stage launch needs.
Derived tags
fashion • pricing • suppliers • first customers
Demo caveat
Rule-based parsing keeps this walkthrough deterministic and offline.
Loaded default synthetic founder profile. No model or network call has been made.
Step 2 • explainable mentor candidates

Ranked candidates with visible reasons and caveats

Compatibility is shown as a deterministic heuristic from the synthetic intake. Scores are not claims of a live model or a live mentor database.

Step 3 • mentor detail and human approval

Mentor detail before any represented intro

The intro is locked until a human acknowledges the synthetic nature of the demo and explicitly approves the represented share.

Margaret Chen

Former retail CEO • consumer brand operator • stage-minded advisor
96 / 100

Strong match because the intake asks for pricing, suppliers, and first customers in a consumer-brand context.

consumer brands pricing discipline retail launch
Caveat: this is a representative demo profile. It does not point to a live person, a live calendar, or a live introduction system.
  • Matches the founder’s business category.
  • Has visible stage experience for early launch decisions.
  • Can explain tradeoffs in pricing and customer acquisition.
Human approval gate

The represented intro remains hidden until the approval checkbox is set and the button is pressed.

Step 4 • preparation and follow-up

Meeting prep, follow-up, and evidence summary

Once the intro is approved, the demo shows the next step: a prepared first meeting and a simple follow-up cadence. The content stays synthetic and readable.

Preparation checklist

  • Clarify the founder’s goal for the first 30 minutes.
  • Confirm which topics are in scope for the meeting.
  • Prepare 3 guiding questions and 2 tradeoff prompts.
  • Capture one next action and one follow-up date.

Follow-up cadence

  • Send a short recap after the meeting.
  • Track one milestone per week for 12 weeks.
  • Keep the founder in control of any personal sharing.
  • Record overrides and reasons for later review.
This page stays aligned with the evidence-first judge package: it shows the prototype workflow, but it does not claim production users, live matching, or verified impact.