Systems Online — Cohort Alpha

AI-Native Founder
Training System

A survivable, scalable accelerator built on execution-first learning. Not a content library — an operational deployment system that transforms beginners into shipping founders in 12 weeks.

12

Week Program

42

Lessons

28

Artifacts

7

Phases

System Capabilities

Built for Execution, Not Consumption

Every component of the accelerator is designed to produce artifacts, maintain pacing, and ensure founders ship — not just learn.

7-Phase Curriculum

Structured execution-first learning from AI literacy to scale

Artifact-Driven

Every lesson produces tangible outputs, not just knowledge

Predictable Pacing

Time-budgeted lessons with difficulty ratings and duration labels

Live Dashboards

Real-time progress tracking, pacing adherence, and execution scores

AI-Native Tools

AI interaction frameworks, prompt templates, and automation pipelines

Simplification Gates

Built-in guardrails prevent overbuilding and cognitive overload

What You Will Use Every Week

Your Execution Toolkit

Interactive previews of the tools you will use daily — dashboard templates, artifact submission flows, progress metrics, and execution streak tracking.

Mission Control Dashboard

82%

Execution Score

14/42

Lessons Done

8/28

Artifacts

4 wks

Weekly Streak

15%
Phase 1: AI Literacy
Phase 2: Problem Discovery
Phase 3: Solution Architecture

Know Before You Start

Time Commitment Per Phase

Every phase and lesson has estimated video time, execution time, and total weekly load. No surprises — you know exactly what each week requires.

Program Time Commitment

13h

Total Program

1.1h

Avg Weekly

3h

Video/Reading

10h

Execution

P1
35m
55m
45m/wk
P2
45m
60m
53m/wk
P3
50m
110m
40m/wk
P4
100m
33m/wk
P5
35m
55m
90m/wk
P6
120m
60m/wk
P7
25m
95m
120m/wk

8–12 hrs/week

Recommended pace for on-track completion

Execution-Heavy

70%+ of time is hands-on building, not watching

Adaptive Pacing

Go faster or slower based on your schedule

Mission Trajectory

7 Phases to Launch

A structured journey from AI literacy to scalable product, with validation gates at every phase to prevent overbuilding.

Weeks 1–2

AI Literacy Foundation

Build your foundational understanding of AI systems, tools, and thinking frameworks. Learn to evaluate AI capabilities, understand automation boundaries, and develop your AI interaction model.

5 lessons3 artifactsView Phase
Weeks 3–4

Problem Discovery

Identify and validate real problems worth solving. Use AI-assisted research to find underserved markets, validate pain points, and build your problem hypothesis.

5 lessons3 artifactsView Phase
Weeks 4–7

Solution Architecture

Design your solution with AI-native thinking. Build your MVP specification, define your technical architecture, and create your execution roadmap.

6 lessons4 artifactsView Phase
Weeks 6–8

MVP Build Sprint

Execute your build plan. Ship your MVP using AI-assisted development, automated testing, and rapid iteration cycles.

5 lessons3 artifactsView Phase
Week 9

Validation & Testing

Put your MVP in front of real users. Run structured validation experiments, collect feedback, and iterate based on evidence.

4 lessons3 artifactsView Phase
Weeks 10–11

Launch Preparation

Prepare for controlled live deployment. Build your launch strategy, set up monitoring, and prepare your go-to-market materials.

4 lessons3 artifactsView Phase
Week 12+

Scale & Optimize

Tune your system for scale. Simplify workflows, refine pacing, eliminate friction, and improve artifact clarity for sustainable growth.

4 lessons4 artifactsView Phase

Ready to Launch?

Your Mission Starts Here

Join the next cohort of AI-native founders. 12 weeks of structured execution, artifact-driven learning, and predictable pacing.