1,200+ builders already inside
“I went from zero coding
to launching 2 AI products
in 12 months.”
The professionals who stay ahead aren't learning alone. They're shipping together — every week.






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SOUND FAMILIAR?
You've watched the tutorials.
But you still can't ship.
It's not a skill problem. It's an isolation problem. You're trying to figure out everything alone — and it's slow, frustrating, and lonely.
Meanwhile, the people who will replace you at work? They're not smarter. They're just building with other builders.
This is the room where you stop falling behind.
WHAT YOU GET
The unfair advantage your coworkers
don't have yet
Live workshops every Monday
Build alongside engineers who are actually shipping. Watch it built, then build it yourself, get feedback. One workshop beats 10 hours of solo tutorials.
A community that answers
Ask a question at 11pm. Get 3 answers within the hour. Engineers from Microsoft, Google, Windsurf — across every timezone.
$5,000+ in tools & boilerplates
SaaS Launch Kit, MCP Boilerplate, Claude Code Template, 10xCoder.dev, plus credits from Replicate, Firecrawl, Windsurf and more.
EVERY MONDAY
Recent workshops
Live sessions with real builders, every single week. Here's a taste.
OpenClaw Production Guide: Implementation for Real Business Workflows
Local vs VPS deployment tradeoffs, multi-user setups, and moving beyond basic tutorials to production-ready architectures.
How I Use OpenClaw Internally and the Decisions the Agent Makes
Full business system access with Supabase, Stripe, PostHog. Context tipping point: enough context makes AI decisions superior to human ones.
From Probabilistic to Production: Real Multi-AI Agent Workflows
Complete architecture behind a production AI agent system automating a medical services business — from blog generation to sales pipeline.
Building Context Infrastructure for Agent Collaboration
Ultra Context: an open-source context management system. The hardest part of agents isn't building them — it's context management across tools.
Toolhouse.AI: No-Code Agent Building with Auto-Tool Wiring
Turns agent building from code-first to prompt-first by auto-wiring tools, authentication, and APIs behind the scenes.
GitContextController, OneContext, and File-Based Memory Systems
Solving context window limitations for coding agents. Even 1M-token models degrade after 120k-200k tokens due to compaction.
Production-Scale Code AI: AugmentCode's Architecture Deep-Dive
Proprietary RAG system that reconstructs prompts for AI-powered development at scale, beyond massive context windows or shallow keyword search.
Building ChatCut: Video Editor Agent Systems & Index-Based Editing
Where AI can meaningfully assist real video editing workflows rather than disrupt creators. Agent systems for creative tools.
Long-Running Coding Agents and MCP Context Optimization
The newest frontier: agents that work for days or weeks, not minutes. Deep dive into autonomous coding systems.
Context Engineering: From Manus, 1M Tokens to Optimal Performance
Learnings from Cursor and Manus. Why context engineering beats context expansion: optimize for relevance, not raw token count.
Better Specs and Refactors with Interview Mode + LSP in Claude Code
Using interview mode and LSP integration to get dramatically better outputs from Claude Code for specs and refactoring.
OpenClaw Production Guide: Implementation for Real Business Workflows
Local vs VPS deployment tradeoffs, multi-user setups, and moving beyond basic tutorials to production-ready architectures.
How I Use OpenClaw Internally and the Decisions the Agent Makes
Full business system access with Supabase, Stripe, PostHog. Context tipping point: enough context makes AI decisions superior to human ones.
From Probabilistic to Production: Real Multi-AI Agent Workflows
Complete architecture behind a production AI agent system automating a medical services business — from blog generation to sales pipeline.
Building Context Infrastructure for Agent Collaboration
Ultra Context: an open-source context management system. The hardest part of agents isn't building them — it's context management across tools.
Toolhouse.AI: No-Code Agent Building with Auto-Tool Wiring
Turns agent building from code-first to prompt-first by auto-wiring tools, authentication, and APIs behind the scenes.
GitContextController, OneContext, and File-Based Memory Systems
Solving context window limitations for coding agents. Even 1M-token models degrade after 120k-200k tokens due to compaction.
Production-Scale Code AI: AugmentCode's Architecture Deep-Dive
Proprietary RAG system that reconstructs prompts for AI-powered development at scale, beyond massive context windows or shallow keyword search.
Building ChatCut: Video Editor Agent Systems & Index-Based Editing
Where AI can meaningfully assist real video editing workflows rather than disrupt creators. Agent systems for creative tools.
Long-Running Coding Agents and MCP Context Optimization
The newest frontier: agents that work for days or weeks, not minutes. Deep dive into autonomous coding systems.
Context Engineering: From Manus, 1M Tokens to Optimal Performance
Learnings from Cursor and Manus. Why context engineering beats context expansion: optimize for relevance, not raw token count.
Better Specs and Refactors with Interview Mode + LSP in Claude Code
Using interview mode and LSP integration to get dramatically better outputs from Claude Code for specs and refactoring.
OpenClaw Production Guide: Implementation for Real Business Workflows
Local vs VPS deployment tradeoffs, multi-user setups, and moving beyond basic tutorials to production-ready architectures.
How I Use OpenClaw Internally and the Decisions the Agent Makes
Full business system access with Supabase, Stripe, PostHog. Context tipping point: enough context makes AI decisions superior to human ones.
From Probabilistic to Production: Real Multi-AI Agent Workflows
Complete architecture behind a production AI agent system automating a medical services business — from blog generation to sales pipeline.
Building Context Infrastructure for Agent Collaboration
Ultra Context: an open-source context management system. The hardest part of agents isn't building them — it's context management across tools.
Toolhouse.AI: No-Code Agent Building with Auto-Tool Wiring
Turns agent building from code-first to prompt-first by auto-wiring tools, authentication, and APIs behind the scenes.
GitContextController, OneContext, and File-Based Memory Systems
Solving context window limitations for coding agents. Even 1M-token models degrade after 120k-200k tokens due to compaction.
Production-Scale Code AI: AugmentCode's Architecture Deep-Dive
Proprietary RAG system that reconstructs prompts for AI-powered development at scale, beyond massive context windows or shallow keyword search.
Building ChatCut: Video Editor Agent Systems & Index-Based Editing
Where AI can meaningfully assist real video editing workflows rather than disrupt creators. Agent systems for creative tools.
Long-Running Coding Agents and MCP Context Optimization
The newest frontier: agents that work for days or weeks, not minutes. Deep dive into autonomous coding systems.
Context Engineering: From Manus, 1M Tokens to Optimal Performance
Learnings from Cursor and Manus. Why context engineering beats context expansion: optimize for relevance, not raw token count.
Better Specs and Refactors with Interview Mode + LSP in Claude Code
Using interview mode and LSP integration to get dramatically better outputs from Claude Code for specs and refactoring.
OpenClaw Production Guide: Implementation for Real Business Workflows
Local vs VPS deployment tradeoffs, multi-user setups, and moving beyond basic tutorials to production-ready architectures.
How I Use OpenClaw Internally and the Decisions the Agent Makes
Full business system access with Supabase, Stripe, PostHog. Context tipping point: enough context makes AI decisions superior to human ones.
From Probabilistic to Production: Real Multi-AI Agent Workflows
Complete architecture behind a production AI agent system automating a medical services business — from blog generation to sales pipeline.
Building Context Infrastructure for Agent Collaboration
Ultra Context: an open-source context management system. The hardest part of agents isn't building them — it's context management across tools.
Toolhouse.AI: No-Code Agent Building with Auto-Tool Wiring
Turns agent building from code-first to prompt-first by auto-wiring tools, authentication, and APIs behind the scenes.
GitContextController, OneContext, and File-Based Memory Systems
Solving context window limitations for coding agents. Even 1M-token models degrade after 120k-200k tokens due to compaction.
Production-Scale Code AI: AugmentCode's Architecture Deep-Dive
Proprietary RAG system that reconstructs prompts for AI-powered development at scale, beyond massive context windows or shallow keyword search.
Building ChatCut: Video Editor Agent Systems & Index-Based Editing
Where AI can meaningfully assist real video editing workflows rather than disrupt creators. Agent systems for creative tools.
Long-Running Coding Agents and MCP Context Optimization
The newest frontier: agents that work for days or weeks, not minutes. Deep dive into autonomous coding systems.
Context Engineering: From Manus, 1M Tokens to Optimal Performance
Learnings from Cursor and Manus. Why context engineering beats context expansion: optimize for relevance, not raw token count.
Better Specs and Refactors with Interview Mode + LSP in Claude Code
Using interview mode and LSP integration to get dramatically better outputs from Claude Code for specs and refactoring.
REAL RESULTS
What members actually shipped
“I went from zero coding knowledge to launching 2 AI products in 12 months. The weekly workshops are the difference — you're not consuming content, you're actually building.”
Ethan Trang
AI Engineer & Founder, Nemo AI
“I raised my consulting rate by $150/hr after 60 days. Not because of a certificate — because I could deliver things clients couldn't find anyone else to build. Automated onboarding, AI support handling 80% of tickets.”
David K.
Freelance Consultant
“One person. 200 users and paying customers — built 90% of it with AI. AI Builder Club taught me how to structure agent workflows, not just prompt. The unfair advantage most founders don't know exists.”
Sarah M.
Solo Founder
Stop watching. Start building.
Your first live workshop is this Monday. Show up and build something real.
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- Live workshops every Monday
- AI builder community access (1,200+ members)
- Unlimited access to all courses
- SaaS Launch Kit & MCP boilerplates
- Full code/prompt examples for building AI apps
- 10xCoder.dev access
- $5,000+ in exclusive tool credits
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Frequently Asked Questions
Everything you need to know about AI Builder Club
Every week you wait, the gap gets wider.
Next workshop is this Monday. Your future self will thank you.
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