Full syllabus - Cohort 01

Building is cool. Shipping is everything.

A 10-week operating system for engineers who can build and want the pressure, taste, product judgment, and public cadence to launch something real.

Duration

10 weeks

Live sessions

20

Core loop

Build - demo - ship

Outcome

Public launch

Syllabus OS

Launch arc

Find the problem, build the system, launch the story.

Problem radarW00
AI product systemW02
Demo Day critiqueW04
Pricing and billingW06
Launch DayW08

Private

research

Live

pressure

Public

proof

Course rhythm

Every week turns class time into shipped evidence.

Setup belongs in recorded prep. Live sessions are for judgment, implementation pressure, critique, and the decisions that move a product toward launch.

01

Async prep

Setup, tools, and prerequisite walkthroughs happen before class so live time stays focused.

02

Live 1

Product judgment, technical concepts, and examples that shape the week's shipping target.

03

Live 2

Implementation sessions, reviews, or mentor pressure that turn ideas into working artifacts.

04

Private reps

Written research, pricing, launch plans, and product decisions that sharpen the work in private.

05

Public shipping

Every week ends with proof in public: a demo, article, bot, launch asset, or distribution push.

Full syllabus

The week-by-week path from idea to launch.

The curriculum is intentionally paced around one product. Each week gives you two live rooms: one for product judgment, one for shipping the next proof point.

1

Week 1

Problems and first deploy

Live 1

Problem Radar

Find promising problems, validate product ideas, study early adopters, and read market signals without waiting for permission.

Live 2

Zero to URL

Use an AI coding workflow to take a simple full-stack app from blank repo to deployed product surface.

2

Week 2

Public profile and LLM foundations

Live 1

Surface Area

Build the mindset and operating rhythm for publishing in public, growing trust, and making your work easier to discover.

Live 2

The LLM Workbench

Understand how LLMs work, when to use AI SDK versus raw APIs, and how tools, temperature, OCR, and agentic UX fit together.

3

Week 3

Taste and protected apps

Live 1

Taste Under Constraints

Use prompting, visual references, and Claude Design to build interfaces people actually want to use.

Live 2

The Guarded Chatbot

Add authentication, rate limits, and product boundaries so AI features survive real users instead of demo-only conditions.

4

Week 4

Demos and agent orchestration

Live 1

Demo Theater

Shape hooks, screencasts, decks, and narrative flow so a product demo lands fast and makes the value obvious.

Live 2

The Agent Assembly Line

Orchestrate async workflows with Trigger.dev, research agents, Firecrawl, Exa, queues, realtime updates, tags, and subscriptions.

5

Week 5

Demo Day

Live 1

Demo Day: The Room Reacts

Present the product as it exists at week five and collect direct signal on what is clear, confusing, or missing.

Live 2

From Feedback to Flight Plan

Convert demo feedback into a mentor-reviewed product plan, launch scope, risk list, and next build priorities.

6

Week 6

Pricing and billing

Live 1

The Price Is the Product

Design pricing models, free trials, credits, subscriptions, one-time payments, and usage limits around the value users feel.

Live 2

Checkout Without Guesswork

Implement billing flows with Stripe or Polar patterns: checkout, webhooks, entitlements, plans, limits, and invoices.

7

Week 7

Growth experiments and WhatsApp agents

Live 1

Tiny Bets, Real Traffic

Run practical growth experiments with ads, creative testing, landing-page conversion, analytics, ICP discovery, and competitor strategy.

Live 2

Agents in the Group Chat

Use WhatsApp automation patterns to create customer-success bots and product workflows where users already communicate.

8

Week 8

Launch channels and multimodal AI

Live 1

Launch Like a Campaign

Build a launch checklist across Product Hunt, Hacker News, Reddit, LinkedIn, X, communities, newsletters, timing, and assets.

Live 2

Multimodal Magic

Explore voice, image, and video AI with tools like ElevenLabs, Fal.ai, AI SDK, and other APIs for richer product experiences.

9

Week 9

Production polish and mentor review

Live 1

The Last 10% That Converts

Tighten observability, logging, PostHog analytics, error tracking, performance, security basics, and onboarding polish.

Live 2

Mentor War Room

Review UX, technical risks, positioning, pricing, and launch readiness directly with mentors before the final push.

10

Week 10

Launch Day

Live 1

Launch Day: Go Public

Present what you built, your go-to-market strategy, pricing, results, lessons, and the next product step.

Live 2

After the Spike

Turn launch feedback, metrics, and attention into the next iteration instead of letting momentum disappear.

What you leave with

Not a folder of exercises. A launch surface.

The syllabus is built to compound. Research becomes product scope, product scope becomes demos, demos become launch assets, and launch assets become market signal.

O1

A shipped product loop

You practice the full path from problem selection to product demo, billing, launch, and iteration.

O2

Public proof-of-work

Weekly public challenges create visible momentum across LinkedIn, X, communities, and launch channels.

O3

Production judgment

Auth, AI, agents, billing, observability, and polish are taught as product decisions, not isolated tutorials.

O4

A launch-ready story

By Launch Day, your product has a promise, price, demo, distribution plan, and next iteration path.

Crafter Station

Stop polishing in private. Start shipping in public.

If you can already build, this is the 10-week pressure system for turning that ability into product evidence.