Async prep
Setup, tools, and prerequisite walkthroughs happen before class so live time stays focused.
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
Launch arc
Private
research
Live
pressure
Public
proof
Course rhythm
Setup belongs in recorded prep. Live sessions are for judgment, implementation pressure, critique, and the decisions that move a product toward launch.
Setup, tools, and prerequisite walkthroughs happen before class so live time stays focused.
Product judgment, technical concepts, and examples that shape the week's shipping target.
Implementation sessions, reviews, or mentor pressure that turn ideas into working artifacts.
Written research, pricing, launch plans, and product decisions that sharpen the work in private.
Every week ends with proof in public: a demo, article, bot, launch asset, or distribution push.
Full syllabus
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.
Week 1
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.
Week 2
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.
Week 3
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.
Week 4
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.
Week 5
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.
Week 6
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.
Week 7
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.
Week 8
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.
Week 9
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.
Week 10
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
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
You practice the full path from problem selection to product demo, billing, launch, and iteration.
O2
Weekly public challenges create visible momentum across LinkedIn, X, communities, and launch channels.
O3
Auth, AI, agents, billing, observability, and polish are taught as product decisions, not isolated tutorials.
O4
By Launch Day, your product has a promise, price, demo, distribution plan, and next iteration path.
If you can already build, this is the 10-week pressure system for turning that ability into product evidence.