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Start Here
Choose a first-offer goal, learn the course rhythm, and start the artifact trail that becomes your final project.
Agentic AI Service Foundations
Understand what a buyer is paying for, how the tool stack supports the work, and where safety and client-trust boundaries begin.
Claude/Codex Setup And OpenClaw Lab
Prepare the tools, verify a local lab, build a fake-data demo, troubleshoot it, and document a client-safe boundary.
Choose A Sellable AI Service
Compare beginner-friendly offers, choose a reachable niche, and identify one repeated workflow worth improving.
Build Your First Agentic AI Systems
Build lead, inbox, FAQ, and reporting assistants, then turn the strongest result into a reviewable demo portfolio.
Package And Price The Service
Define deliverables and exclusions, practice a starter price, write a simple proposal, and pass the package checkpoint.
Sell The Agentic AI Offer
Build a focused prospect list, write honest outreach, run discovery, and handle objections without risky promises.
Delivery, Handoff, And Next Offers
Onboard, test, hand off, support, identify a sensible next offer, and assemble the final buyer-readable project.
Optional: Client Apps, Hosting, And Domains
An optional path for turning a proven workflow into a small client app. Students describe the buyer result while Codex handles Supabase, the app build, Vercel hosting, and later domain setup under human approval.
Optional: Faceless YouTube Service Workflow
An optional money path for using Codex to research original topics, create reviewed production packets, organize a client dashboard, and sell a bounded service without promising views or monetization.