The founding lecture archive

WATCH LESS.
MAKE THE EVIDENCE.

You can watch all nine livestreams in recording order—or use the chapter links to reach the moment you need. Each class ends with one artifact another person can inspect.

OPEN THE PLAYLIST →FOLLOW THE 33-LESSON PATH

Recording order preserves how the ideas emerged. The 33-lesson path rearranges those ideas into a learnable first semester.

Three continuing cases

WATCH THE SAME SYSTEM MEET THREE DIFFERENT LIVES.

Jai

Experienced operator and teacher

How does an experienced builder turn judgment, relationships, and live teaching into useful products without surrendering his freedom?

Anthony

Provider building with leverage

How should a founder with more than ten years of experience, a family, and trusted relationships choose a durable opportunity and distribution system?

Khizar

Early-career operator finding a feasible lane

How does a new graduate separate direct experience from aspiration, recover from over-scoping, and earn trust through one narrow result?

Lecture 1August 6, 20261:45:40Edited master

Masterclass: Anti-Brainrot Thinking Exercises

You will be able to

turn one vague question into a checked, plain-language artifact with a decision log.

Go directly to the teaching

Your turn

1Write one question that currently feels vague or emotionally loaded.
2Rewrite what you are really trying to answer and why it matters now.
3Break it into atomic subquestions; answer each using only simple words.
4Review the answers as a conscious observer, then ship an artifact or write the postmortem.

Finish with

A one-page thinking record containing the real question, atomic subquestions, simple answers, observer review, and an artifact or postmortem.

Check your evidence

The record names the real question and why it matters now.
Atomic questions are answered in words another person can understand.
Observer review produces either an inspectable artifact or an honest postmortem.

Case-study checkpoint

Jai: Jai demonstrates his own thinking process under a time constraint.
Anthony: Not introduced yet.
Khizar: Not introduced yet.

Lecture 2August 12, 20261:41:02Edited master

Writing Something Worth Reading

You will be able to

produce a canonical artifact that directs a specific audience toward what is true and useful.

Go directly to the teaching

Your turn

1Name the person the artifact must help and the decision it should improve.
2Collect prior art and write down where the reader should look for ground truth.
3Run a premortem: list how you could ignore the rules, miss context, or produce the wrong artifact.
4State your intention, then draft and revise the smallest artifact worth the reader's time.

Finish with

A publishable brief with a named audience, ground truth, prior art, failure conditions, intention, and one correct submission artifact.

Check your evidence

The audience and the decision this artifact should improve are explicit.
Ground truth, prior art, and failure conditions can be inspected.
The final format matches the real submission or publishing requirement.

Case-study checkpoint

Jai: Jai uses his conference submission to model grounded, audience-aware writing.
Anthony: Not introduced yet.
Khizar: Not introduced yet.

Lecture 3August 13, 2026 · Morning1:12:15Edited master

Proposing a Radically Different Type of AI Workshop

You will be able to

scope and submit a useful workshop proposal from audience evidence and prior art.

Go directly to the teaching

Your turn

1Inspect the actual event, audience, speakers, rules, and selection context before writing.
2Collect three pieces of prior art and write what each proves.
3Choose one transformation that fits the available time and energy.
4Complete the real submission or its closest externally reviewable equivalent.

Finish with

A one-page workshop proposal naming the audience, prior art, narrow transformation, format, and submission requirements.

Check your evidence

The proposal responds to the actual audience, rules, and selection context.
Three pieces of prior art support the proposed transformation.
The scope fits the available time and ends in an externally reviewable submission.

Case-study checkpoint

Jai: Jai tests whether his existing experience can become a credible public workshop.
Anthony: Not central to this session.
Khizar: Not central to this session.

Lecture 4August 13, 2026 · Evening49:04Edited master

Proposing a Radically Different Type of AI Workshop — Group Session

You will be able to

connect a small expertise-based product to a real customer, payment link, and distribution path.

Go directly to the teaching

Your turn

1Write the freedom constraint the offer must protect.
2Choose one result you can already help someone achieve.
3Create a Stripe test product and payment link before polishing a full website.
4Name the first ten reachable people or communities and the exact artifact they can buy.

Finish with

A product card with one buyer, one narrow result, a price, a Stripe payment link, and a trusted distribution channel.

Check your evidence

One reachable buyer and one narrow result are named.
The Stripe test link shows the intended product, price, and fulfillment promise.
The first distribution list contains ten permission-based relationships or communities.

Case-study checkpoint

Jai: Jai supplies the teaching and product-design system.
Anthony: Anthony supplies practical payment experience, audience, and a product opportunity.
Khizar: Khizar is positioned as the third cooperative seller to be developed next.

Lecture 5August 14, 202651:51Raw Restream master

Intro to AI Agents for Business Formation

You will be able to

choose a feasible opportunity from direct means, real motivation, reachable relationships, and freedom constraints.

Go directly to the teaching

Your turn

1List completed work and relationships you can verify; remove things you merely watched or studied.
2Write the freedom and rich-life constraints that the business must preserve.
3Name who already wants to work with you and the recurring problem they trust you to solve.
4Choose one narrow opportunity and explain why it is more feasible than the tempting alternative.

Finish with

A completed means–motivation–opportunity map plus a one-sentence opportunity you can test for twelve weeks.

Check your evidence

Capability claims point to completed work or direct relationships.
The freedom constraints can reject an otherwise attractive opportunity.
One narrow opportunity is bounded by a credible twelve-week test.

Case-study checkpoint

Jai: Experienced operator with teaching, product, and software judgment.
Anthony: Experienced founder and provider whose family changes the time horizon.
Khizar: New graduate whose viable opportunity must come from direct work and direct relationships.

Lecture 6August 15, 202655:09Raw Restream master

Business Calculus: Validation, Feasibility, Time, Cost, and Risk

You will be able to

reject an unsustainable offer by modeling validation, feasibility, time, cost, risk, and downstream change.

Go directly to the teaching

Your turn

1Draw the goal as a dependency graph: purpose, validation, feasibility, offer, price, and distribution.
2Record every hidden task required to deliver the current offer.
3Estimate time, cash cost, risk, contribution per sale, and sales required for the target day.
4Write the stop decision or the narrower twelve-week test supported by the numbers.

Finish with

A feasibility sheet comparing the current offer with one narrower alternative, including customer and operator time, cost, risk, and required sales volume.

Check your evidence

The current offer and one narrower alternative use the same comparison fields.
Customer and operator time, cost, and risk are separated.
Contribution, required sales volume, and the continue/revise/stop decision agree.

Case-study checkpoint

Jai: Jai acts as customer, reviewer, and system designer.
Anthony: Anthony is introduced as the experienced comparison for the next strategy layer.
Khizar: Khizar's over-scoped website and marketing offer is the negative feasibility case.

Lecture 7August 16, 2026 · Morning1:21:31Raw Restream master

Business Calculus: Pricing and the Tiny Burning-Hair Problem

You will be able to

use discovery and pricing evidence to select a tiny urgent problem that the operator can actually fulfill.

Go directly to the teaching

Your turn

1Choose one reachable customer and ask the seven discovery questions demonstrated in class.
2Separate the customer's time, cost, and risk from your own delivery time, cost, and risk.
3Write a tiny burning-hair problem that your current skill can solve without supervision.
4Define the first case-study version, its price hypothesis, and what evidence permits a premium later.

Finish with

Seven discovery answers, a one-sentence tiny burning-hair problem, a narrow deliverable, a price hypothesis, and a case-study accumulation rule.

Check your evidence

All seven discovery answers are recorded without rewriting the customer's meaning.
The urgent problem is narrow enough for the operator's demonstrated skill.
The price is a testable hypothesis with a stated rule for earning a premium later.

Case-study checkpoint

Jai: Jai supplies the customer problem: publishing and compounding daily content.
Anthony: Anthony shares the planning and production strength and the cooperative business context.
Khizar: Khizar must narrow from broad marketing claims to a provable production-operations result.

Lecture 8August 16, 2026 · Afternoon53:47Original public livestream

The New Business School: Freshmen Orientation

You will be able to

align a short-term commerce goal with long-term constraints, shared ownership, and an observable operating system.

Go directly to the teaching

Your turn

1Write the short-term goal and the longer-term life condition it must support.
2Name what each collaborator owns and what evidence they must report.
3Choose the payment rail and define how revenue is attributed across collaborators.
4Schedule the first review and state what will cause the team to continue, revise, or stop.

Finish with

A one-page operating agreement naming the goal, long-term constraints, owners, payment rails, reporting cadence, and stop conditions.

Check your evidence

The short-term goal serves the longer-term life and freedom constraints.
Every owner, payment rail, and reporting responsibility is explicit.
A dated review and observable continue/revise/stop conditions are present.

Case-study checkpoint

Jai: Jai owns the curriculum, live teaching, product system, and canonical media.
Anthony: Anthony owns the operating company, relationships, and complementary production strengths.
Khizar: Khizar's content-production lane becomes the live test of alignment, ownership, and cooperative revenue.

Lecture 9August 17, 20261:05:44Original public livestream

The New Business School: Agentic Commerce

You will be able to

build a regenerative offer test by moving one AI-generated artifact through a vibe check, real-world sensibility, and battle testing while measuring the economics of the promise.

Go directly to the teaching

Your turn

1Translate the goal into human time: name what must be learnable in minutes, observable over weeks, and sustainable over years.
2Use AI to generate the smallest artifact in minutes, then write the exact promise or hypothesis it is supposed to test.
3Send one link to fifty relevant people, observe behavior and questions, and cut at least half of the scope, users, or channels that the evidence does not support.
4Write the regenerative formula: customer-acquisition cost, touches and time to close, time to serve and deliver, and when revenue arrives; state the stop rule before scaling with ads.

Finish with

A one-page Agentic Commerce test containing the time horizon, hypothesis, artifact, real-user evidence, scope cuts, promise, and a formula for acquisition cost, close time, delivery time, and revenue timing.

Check your evidence

The short experiment and the long-term freedom constraint are both explicit and not confused with each other.
The sensibility decision uses observable behavior from real people rather than praise from the builder or an AI model.
The acquisition, sales, delivery, and cash-timing math supports the promise or produces an explicit cut or stop decision.

Case-study checkpoint

Jai: Jai uses the live PDF catalog and Stripe payment rails to model a small artifact that must earn its next stage through evidence.
Anthony: Anthony becomes the next positive design case: deeper operating experience, trusted relationships, family constraints, and a product that must fit them.
Khizar: Khizar's broad agency promise becomes the sensibility case; the unsupported services are cut toward narrower PDF and video-production products with inspectable delivery.