Every week, we share trending tools & builds. No fluff, just fire. Catch up on past sessions below. Decision Models Jev: Decisions Instead of Text, at a Fraction of LLM Cost A model that returns a probability for every option instead of generating text. Jason walks through the three output types, the confidence threshold that routes to a human, the 32K limit, and the signup fraud scan, buying signal filter and launch filter he runs with it in production for a fraction of an LLM call. Realistic AI UGC: Characters That Don't Look AI Video of a real person is easy now. A brand new person who looks real is the hard part, so this session builds one: a locked JSON character prompt that fights the image model's defaults, the model that draws the most believable face, and Seedance 2.5 with a real audio reference. Making High Quality Launch Videos with HyperFrames Jason builds a 78-second launch video with HyperFrames from scratch. Why HTML gives an agent a timeline it can check frame by frame, and why the first few compositions need hand direction before the rest can copy them. Graph Engineering Graph Engineering Without a Framework One term covering three different problems, and the two ways to actually enforce a graph - control flow written as code, or an SOP written into a skill the model runs. Why skills plus a few scripts beat a framework for most workflows, and how to cut a job into agent nodes. Loop Engineering Best Practices Replacing manual prompting with self-running agent loops across support, SEO, growth, and ads - Claude Code on local machines with cron triggers. Artifacts, loop contracts, a global logs.md, and the open vs closed loop distinction that makes fixes compound. Harness Engineering Make your repo Legible, Executable, and Verifiable for agents. Sub-100-line CLAUDE.md as an index, custom lint rules as constraints, one-script dev servers with configurable ports, and Playwright PR verification loops. AI Wiki Toolkit Eliminating agent memory loss in development. A /memories, /drafts, /metrics folder structure, system vs repo-level separation, prompt injection into agents.md/claude.md, and a routing system to pick the right files from 100+ accumulated memories. OpenAI Symphony + Automated Testing OpenAI's Symphony open-source scheduler for coding agents, Linear integration via workflow.md, making codebases harness-ready with end-to-end testing, Playwright CLI video evidence, isolated per-ticket workspaces, and token/parallel-execution tradeoffs. Open Organizational AI with PKA Simon Wallace-Jones's production system coordinating work across 36 codebases via a Personal Knowledge Assistant - 17+ dev tasks per week, autonomously, with full visibility and control. OpenClaw Production Guide Production-ready OpenClaw for real business workflows: local vs VPS deployment, Slack multi-user teams, 3 levels of memory management, web access strategies, and support/marketing/sales automation patterns. AI coding beyond basics to bring your idea to production New: the Agent Builder path. Learn agents in order: Agents Deep Dive (the concepts) → Harness 101 (the theory of the loop) → Loop Engineering (ship unattended) → Agent Engineering (build a coding agent in code). Go from using AI to building it. Master the six pillars behind every production agent system — with research-backed lessons and real architecture teardowns. Go from using AI to building it. Master the six pillars behind every production agent system — with research-backed lessons and real architecture teardowns. An agent is a model plus a harness. The model is rented; the harness is the part you own. Learn the loop, tools, context, and memory that turn a rented model into a working agent. An agent is a model plus a harness. The model is rented; the harness is the part you own. Learn the loop, tools, context, and memory that turn a rented model into a working agent. You have been running your agent by hand: prompt, wait, read, prompt again. You are the loop. This course teaches you to engineer the loop itself so the agent ships real work unattended. You have been running your agent by hand: prompt, wait, read, prompt again. You are the loop. This course teaches you to engineer the loop itself so the agent ships real work unattended. Claude Code course with 3 guided Labs: a live website, a full-stack app with payments, and business automation. Rebuilt June 2026. Claude Code course with 3 guided Labs: a live website, a full-stack app with payments, and business automation. Rebuilt June 2026. Learn OpenClaw, the open-source AI agent framework with 365K+ GitHub stars: install, configure, and connect any LLM to 20+ messaging platforms. Learn OpenClaw, the open-source AI agent framework with 365K+ GitHub stars: install, configure, and connect any LLM to 20+ messaging platforms. Learn to build powerful production-ready LLM apps with real-time APIs, mobile inference, multimodal models, and agentic workflows. Learn to build powerful production-ready LLM apps with real-time APIs, mobile inference, multimodal models, and agentic workflows. Learn how to build and test Model Context Protocols (MCPs) using fastMCP, Claude, Cloudflare, and Stripe—ideal for AI engineers and app builders. Learn how to build and test Model Context Protocols (MCPs) using fastMCP, Claude, Cloudflare, and Stripe—ideal for AI engineers and app builders. Learn to install, create, and deploy Agent Skills, the open standard for packaging domain expertise into workflows for 50+ AI agents. Learn to install, create, and deploy Agent Skills, the open standard for packaging domain expertise into workflows for 50+ AI agents. A concise, actionable playbook for writing system prompts that make AI agents reliable, consistent, and production-ready. A concise, actionable playbook for writing system prompts that make AI agents reliable, consistent, and production-ready. Learn how to build autonomous research agents using agentic workflows, tool calls, web scraping, and deep search—perfect for developers and data researchers.

Learn how to build autonomous research agents using agentic workflows, tool calls, web scraping, and deep search—perfect for developers and data researchers. Learn HTML, CSS, JavaScript, and build your first SaaS product—even if you've never coded before. Perfect for makers and startup founders. Learn HTML, CSS, JavaScript, and build your first SaaS product—even if you've never coded before. Perfect for makers and startup founders. Build your own AI-powered developer workflow using Cursor, Claude, and Vercel—perfect for engineers, indie hackers, and startup builders. Build your own AI-powered developer workflow using Cursor, Claude, and Vercel—perfect for engineers, indie hackers, and startup builders. Learn how to scrape LinkedIn data using Playwright, XPath/CSS selectors, and LLMs—while avoiding anti-bot detection. Ideal for growth hackers and builders. Learn how to scrape LinkedIn data using Playwright, XPath/CSS selectors, and LLMs—while avoiding anti-bot detection. Ideal for growth hackers and builders. Learn how to finetune OpenAI models and deploy them to production using Modal—with bonus content on building your own Llama-based Slack agent. Learn how to finetune OpenAI models and deploy them to production using Modal—with bonus content on building your own Llama-based Slack agent. Master prompt engineering from core techniques to system prompt design: Chain of Thought, ReAct, and the 12 Laws of System Prompts. Master prompt engineering from core techniques to system prompt design: Chain of Thought, ReAct, and the 12 Laws of System Prompts. Learn how to use Cursor AI to build full stack apps faster—ideal for indie hackers, startup founders, and AI developers. Learn how to use Cursor AI to build full stack apps faster—ideal for indie hackers, startup founders, and AI developers. Discover how Bolt.new scaled from 0 to 1M+ messages in 7 days and learn best practices from CEO Eric for AI founders and product builders. Explore Ethan Trang's journey from zero coding knowledge to launching two AI products in a year—perfect for student founders and AI builders. Learn how to embed effective task management inside Cursor and reduce error rates by 10x—featuring Claude Task Master's creator. Learn how to write better, cheaper prompts and optimize LLM workflows—featuring Helicone founder Justin Torre. Learn how to build beautiful UIs and full-stack backends using v0.dev—includes themes, database setup, and email workflows. Learn how to build production-ready research agents and apply Test Driven Development in Cursor—featuring lessons from Cognosys.ai and Otto. Learn how to turn LinkedIn data into AI-powered org charts with crawl4ai—featuring advanced prompt engineering and vector similarity techniques. Discover how to use crawl4ai for fast, smart web crawling designed for LLMs, AI agents, and scalable data workflows—no API keys required. Learn how Airtop.ai enables full web automation using natural language and how they approached go-to-market—featuring CEO Amir. What Builders Are Saying “ The AI Builder Club was a game-changer for my startup. The insights saved us thousands during our early development phase, and the community has been incredibly supportive. ” AI Engineer & Founder , Nemo AI “ As a solo founder, the resources in the AI Builder Pack have been invaluable. The Replicate credits alone paid for my membership many times over. ” Founder , AImpact “ The access to premium AI tools through the Builder club helped us prototype in days instead of weeks. Highly recommend for any tech team working with AI. ” CTO , NeuralWorks Frequently Asked Questions What is AI Builder Club? AI Builder Club is a comprehensive AI development learning platform with 15+ structured courses, 25+ expert talks from industry leaders, weekly live workshops, and an active community of 1,000+ builders. You get unlimited access to all courses, code templates, SaaS boilerplates, and tools like 10xCoder.dev. Is this an AI coding bootcamp? Yes - think of it as a self-paced AI coding bootcamp. You learn by building real projects, not watching theory. Courses cover AI agents, MCP, prompt engineering, agentic workflows, LLM fine-tuning, web scraping, and full-stack development with AI. Do I need coding experience? No. We have Coding 101 that starts from HTML basics. More advanced courses cover production LLM apps, agent development, and AI infrastructure. Whether you're a complete beginner or a senior engineer, there's a learning path for you. What tools and technologies will I learn? AI agents, Model Context Protocol (MCP), Claude Code, Agent Skills, prompt engineering, LLM fine-tuning, agentic workflows, multi-agent orchestration, RAG pipelines, and production deployment. We add new courses every month covering the latest AI tools. How is this different from other AI courses? Three things: (1) Courses are built by practitioners who ship AI products, not academics. (2) You get a community of builders to learn with, not just videos. (3) Everything is updated regularly - when a new tool drops, we cover it within weeks. What if it's not for me? We offer a 30-day money-back guarantee. Try the courses, join the community, attend a live workshop. If it's not for you, we'll refund you - no questions asked. Ready to start learning? Join thousands of developers to build with AI and bring your idea to production.