/ roadmap

Track roadmap
from idea to company.

An execution map for the three tracks. Each column shows what is already framed, what is being turned into lessons and templates now, and what comes next.

Based on the goal and tracks file
Established as the track foundationBeing turned into lessons, exercises, and templatesComing in curriculum and content expansion
01
FOUNDER SKILL SET

Founder Skill Set

Market selection, customer pain, irresistible offers, pricing, sales, and distribution before writing too much code.

6 weeksBeginner → operating founder
Done

The mindset and operating base for a solo founder.

  • 01

    What it means to be a solo founder in the AI era

  • 02

    Thinking big while staying lean (1–10 person companies targeting tens or hundreds of millions)

  • 03

    Solo founder mindset and daily operating system

  • 04

    Building a highly performative team of under ten people

Doing

Turning early leadership skills into practical material.

  • 01

    Hiring for AI-native companies (skills, culture, speed)

  • 02

    Defining product requirements when AI can ship features overnight

  • 03

    Fundraising versus bootstrapping and staying profitable

  • 04

    Understanding investor incentives versus founder incentives

To do

Growth, funding, and governance topics once results appear.

  • 01

    Dealing with the board in non-VC-style growth companies

  • 02

    What happens when growth is real but not “VC acceptable”

  • 03

    Board pressure to change direction for higher growth rates

  • 04

    Scaling decision-making as the company grows past the founding team

  • 05

    Maintaining founder control and vision in small high-output teams

02
BUILDING IN THE AGE OF AI

Building in the Age of AI

Turn an idea into a fast product: prototypes, agents, automation, content, and analytics with modern tools.

8 weeksFounder → AI operator
Done

The fast-building frame and core AI tooling basics.

  • 01

    Speed as a competitive advantage

  • 02

    Understanding LLMs and how they actually work for builders

  • 03

    LLM harnesses: what they are and how to use them

  • 04

    Multiplayer products and real-time collaboration features

Doing

Operating agents, deployment, and continuous iteration.

  • 01

    Agent coding: writing code with and for AI agents

  • 02

    Deployment strategies for AI-powered products

  • 03

    Local versus remote development and inference

  • 04

    Continuous update, test, and iterate loops

To do

Advanced product topics once AI sits in the critical path.

  • 01

    Shipping in days instead of months

  • 02

    Observability and monitoring for agent-based systems

  • 03

    Cost control and token economics for small teams

  • 04

    Security and reliability when AI is in the critical path

03
BUILDER SKILL SET

Builder Skill Set

Execution skills for tiny teams: writing, design, AI-assisted coding, operations, support, and repeatable content.

6 weeksIntermediate → independent builder
Done

The definition of the generalist builder on a tiny team.

  • 01

    The shift from specialized roles to generalist builders

  • 02

    Why everyone on the team must be good at design

  • 03

    Writing clear documents and product specs with AI

  • 04

    Building the product yourself

  • 05

    Testing the product thoroughly

  • 06

    Deploying and owning the live system

Doing

Turning execution skill into an applied learning path.

  • 01

    Iterating rapidly without burnout

  • 02

    What changed: the new expected skill set for every team member

  • 03

    Creating a team culture comfortable with continuous fast change

  • 04

    Accepting that the product can change significantly every three months

  • 05

    Accepting that the product can be reinvented entirely every six months

  • 06

    Preventing burnout in high-velocity AI environments

  • 07

    How each small team builds and defends its own moat

To do

Moats and learning paths based on each builder's starting point.

  • 01

    Moat types that work for 1–10 person AI companies

  • 02

    How to choose what to learn next as a generalist

  • 03

    If you are technical: what business and design skills to learn to cover the gaps

  • 04

    If you are design-oriented: what technical and business skills to learn to cover the gaps

  • 05

    If you are business-oriented: what technical and design skills to learn to cover the gaps

  • 06

    Practical learning paths for each starting point

  • 07

    Balancing depth versus breadth when time is limited