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AI with Georges
45-hour evidence-led venture studio

Build it. Test it. Defend the next decision.

Build an AI venture or internal pilot through real evidence, a working prototype, measurable economics, and responsible controls—then make the next decision without pretending uncertainty has disappeared.

AI helps participants generate and challenge options. Humans remain responsible for verification, stakeholder evidence, professional advice, and the final decision.

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Facilitated
35h
Fieldwork
10h
Modules
13
Pathways
2
The venture evidence system
  1. 01 Hypothesis
  2. 02 Evidence
  3. 03 Experiment
  4. 04 Decision
  5. 05 Revision
The learning contract

From prompt activity to accountable venture decisions.

Build

Create one working core flow and observe people using it.

Test

Link venture claims to evidence, confidence, contradictions, and decisions.

Defend

Show the economic model, responsible controls, and an accountable 90-day plan.

Two application pathways

Shared rigor, different operating contexts.

Founder pathway

Customer discovery, willingness to pay, a market-facing MVP, pricing, traction, funding, investor diligence, and a venture evidence defense.

Executive pathway

Stakeholder discovery, pilot design, adoption, enterprise data readiness, procurement, governance, investment approval, and a steering-committee defense.

Curriculum map

Thirteen checkpoints from thesis to defense.

  1. 01

    AI-Native Founder & Working Protocol

    Set a safe, evidence-led way of working with AI before making venture decisions.

    2.5h facilitated0h fieldwork
  2. 02

    Opportunity Discovery & Venture Thesis

    Turn an interesting idea into a falsifiable opportunity thesis.

    2.5h facilitated1h fieldwork
  3. 03

    Customer & Market Evidence Lab

    Replace synthetic validation with evidence from real people and observable behavior.

    2.5h facilitated1.5h fieldwork
  4. 04

    Responsible AI, Data & Security

    Design trust controls alongside the venture instead of adding compliance at the end.

    2.5h facilitated0.5h fieldwork
  5. 05

    Value Proposition, Business Model & Experiments

    Connect customer evidence to value creation, capture, and the next cheapest test.

    2.5h facilitated1h fieldwork
  6. 06

    Product Discovery & MVP Specification

    Define the smallest trustworthy product that can test the venture thesis.

    2.5h facilitated0.5h fieldwork
  7. 07

    AI Architecture, Evals & Economics

    Choose an architecture by measured quality, safety, latency, and cost—not novelty.

    2.5h facilitated0.5h fieldwork
  8. 08

    Prototype Build-Test Sprint

    Build one working core flow, observe people using it, and revise it.

    2.5h facilitated1.5h fieldwork
  9. 09

    Pricing, Unit Economics & Runway

    Know what a trusted outcome costs, what customers may pay, and how long the venture can learn.

    2.5h facilitated0.5h fieldwork
  10. 10

    GTM, Sales & Growth Experiments

    Turn positioning into a measurable route to the first repeatable customer or adopter.

    2.5h facilitated1h fieldwork
  11. 11

    Team, Operating System & Venture Metrics

    Create the decision rights, roles, measures, and cadence needed to operate responsibly.

    2.5h facilitated0.5h fieldwork
  12. 12

    Funding, Legal, IP & Deal Readiness

    Choose the right financing or approval path and enter diligence with organized evidence.

    2.5h facilitated0.5h fieldwork
  13. 13

    Evidence Review, Venture Portfolio & Demo Day

    Demonstrate what works, acknowledge what does not, and defend the next 90 days.

    5h facilitated1h fieldwork
Completion standard

Every module clears four gates.

A reflection cannot substitute for missing evidence, and an AI-generated artifact cannot substitute for a real experiment.

  1. 01

    Learn

    Review the brief and pass the knowledge check.

  2. 02

    Build

    Use the tool and submit the evidence checkpoint.

  3. 03

    Simulate

    Complete the decision room and consequence debrief.

  4. 04

    Reflect

    Record the human decision, uncertainty, and next test.

What participants leave with

A working, tested core flow
A venture evidence graph and decision ledger
An AI assurance passport and incident plan
Quality, safety, latency, and cost evaluations
An economic model and market-entry experiment
A defensible 90-day operating plan

Built for facilitated cohorts

Instructor runbooks, participant worksheets, transparent rubrics, fieldwork, moderation, privacy guidance, and provider-outage fallbacks are part of the program—not afterthoughts.

Founder and executive cohorts
Discuss a cohort