Welcome to DevQuest.AI

Welcome to DevQuest.AI

Welcome to DevQuest.AI, where you will learn to ship AI products from prompt to production using the exact playbook that built 13+ real products in 13 months.

What You Will Learn

In this course, you will master:

• Prompt engineering as product design
• Model selection by capability × cost × latency × privacy
• Building chatbots, task agents, and multi-agent systems
• RAG and vector databases (Pinecone, Weaviate, ChromaDB)
• Production deployment and security
• Product management fundamentals (Agile, Lean, OKRs, Kanban)
• Protocols and interoperability (MCP, A2A, GenUI, WebLLM)
• Systems that learn with per-user insights

The Framework: Two Out of Three Is Not Good Enough

Success with AI requires aligning three elements:

1. The Prompt (We Ask) - How we ask. Strategic prompt engineering.
2. The Model (AI) - The AI we use. Choosing wisely.
3. The Objective (To Do Things) - What we are trying to accomplish. Real problems worth solving.

Get two right and one wrong? You fail. This course teaches you to align all three.

Read more: We Ask AI to Do Things

Your Instructor: Jesse Alton

CEO, Virgent AI | Co-Chair, W3C OMI Group | Adjunct Faculty, MICA

Jesse shipped 13+ AI products in 13 months as a solo builder with AI assistance:

• Cadderly - AI-powered knowledge management platform
• peake.ai - AI phone system built in 1 hour
• jessealton.com - Personal blog and portfolio
• virgent.ai - Full-service AI agency site
• alton.tech - Professional portfolio
• Dozens of customer agents in production

Track record: 100+ projects, $200M+ in new business, Featured at Google I/O 2023, Co-founder of Magick ML

Learn more: alton.tech | About Jesse

Course Structure

12 Modules • 52 Lessons • ~35 Hours

• Module 0: Orientation (8 FREE lessons) - You are here!
• Module 1: Pick a Problem Worth Solving (Product as Value, OKRs, PRDs)
• Module 2: Prompt Engineering as Product Design
• Module 3: Models - All providers (OpenAI, Claude, Gemini, Grok, HuggingFace, Together AI, WebLLM)
• Module 4: RAG, Vector DBs (Pinecone, Weaviate), Systems That Learn
• Module 5: Tools and Tool-Calling
• Module 6: Chatbots vs Task Agents
• Module 7: Multi-Agent Tribe Design
• Module 8: Shipping - Prototype to Product
• Module 9: Evals, Reliability and Take the Gain
• Module 10: Production Readiness (Security, Monetization)
• Module 11: Protocols and Interoperability (MCP, A2A, AGUI, WebLLM, OMI)

11 Build Paths - Choose Your Own Adventure

Unlike clone-along tutorials, you will build something unique:

• A. Agent on My Website - Chat + task agent for your site
• B. Second Brain - Personal knowledge management
• C. Content Engine - Research to publish automation
• D. Micro-SaaS - Paid tool with billing
• E. Multi-Agent Cofounder Team - Coordinating agent tribe
• F. CMS like The Interop - Blog/content platform
• G. Your First Chatbot - Beginner-friendly
• H. AI Phone Service and CRM - Like peake.ai
• I. Your First Website - AI-powered site
• J. Let's Make a Game! - AI storytelling and NPCs
• K. Zettelkasten Pro - Advanced knowledge system

Community

Join our public Matrix channel: AIDevQuest on Matrix

Monthly demo days, peer reviews, and Q&A with Jesse. After purchasing, request access to the private members-only channel for exclusive content and support.

What Makes This Different

• Proven Methodology - Not theory, the actual playbook from 13+ shipped products
• Product + Technical - Learn PM skills (OKRs, PRDs) alongside code
• Build Unique Projects - Not clones, portfolio-ready products
• Protocols Expertise - Learn from W3C OMI Co-Chair
• 8 FREE Lessons - Complete orientation before buying
• Tool Flexibility - Use Cursor, VSCode, or no-code alternatives

Let's Get Started

The next lessons will set up your development environment and introduce you to the tools we will use throughout the course. By the end of Module 0, you will be ready to start building.

Read the methodology: From Idea to MVP: The New Builder's Playbook