Find a buyer pain
Name one business workflow people already pay to fix: leads, inbox triage, support replies, reports, or internal research.
Claude Code + Codex + agentic AI
Agentic AI Automation Academy
Learn how to use Claude Code and Codex as a money-skill stack for building small AI service proof: plan the buyer workflow, inspect the build, document the handoff, use OpenClaw lab demos when proof helps, and package one first paid offer.
- 2
- free lessons
- 41
- practical lessons
- 17
- student downloads
- $49.99
- one-time access
Student investment map
$49.99 should feel like buying a first-offer operating system, not another video folder.
The academy is built so students can turn lessons into reusable business assets: a buyer pain map, Claude Code planning prompts, Codex inspection checks, safe proof screenshots, a proposal block, pricing boundaries, and a handoff packet. That is the path toward paid conversations; it is not a promise that income, clients, or employment are guaranteed.
Build with Claude + Codex
Use Claude Code for context, scope, and buyer language; use Codex for reviewable implementation notes, tests, docs, and handoff checks.
Prove it safely
Use OpenClaw only when fake-data lab evidence makes the workflow easier to trust, then caption the proof with limits and human approval.
Ask for the first scope
Turn the proof into a scoped paid pilot, price boundary, proposal paragraph, outreach line, and handoff note a buyer can inspect.
The likely upside is a faster, cleaner path to credible paid-service conversations. The honest boundary is that students still need effort, market choice, follow-through, and buyer trust.
Learning experience
Built like a guided apprenticeship, not a video dump.
The academy uses practice-first lesson design, visible progress, artifact checkpoints, and screenshot-backed agent workflows so beginners always know what to do, what to save, and what not to overpromise.
Start with small practice loops
The first lessons ask for short, concrete work: a service map, fake-data demo sketch, setup note, and first evidence artifact.
Every lesson produces proof
Students save a decision, checklist, test note, demo output, proposal section, or handoff artifact that feeds the final project.
The app always shows the next move
Dashboard progress, module proof points, lesson checkpoints, and completion states reduce uncertainty while the student works.
Agents are taught as operating skills
Claude Code and Codex sit at the center: explore, plan, implement, review, test, document, and keep the human in control.
Visual proof beats tool hype
OpenClaw remains the practical lab for selected demos, supported by owner-created screenshots, safe captures, and official source notes.
Readable, repeatable lesson structure
Each lesson uses the same brief, mission, workbench, resource kit, reading, and completion flow so students can scan instead of hunt.
Confusion gets captured before completion
Lessons end with a final clarity check that asks students to explain the move, verify the proof, and route precise blockers to support.
Explore the pathsMarkets, tools, and practical course tracksOpen this when you want the deeper map. You can start the free lessons without learning every tool first.
Market positioning
Agentic AI is the category. A safe service offer is the product.
The academy is designed to win broader demand than a single-tool tutorial by connecting buyer language, Claude Code and Codex operating skill, OpenClaw lab proof, first-offer assets, and final-project evidence.
Agentic AI services
Position the work around useful multi-step workflows: plan, draft, review, test, and hand off with a human still in control.
Claude Code operating skill
Use Claude Code to understand the codebase, plan changes, fix errors, run checks, inspect diffs, and keep the student in charge.
Codex build and review
Use Codex for implementation, review, testing, documentation, and parallel agent workflows while keeping every change inspectable.
OpenClaw lab proof
Use OpenClaw as one hands-on automation lab for gateway checks, dashboard evidence, sample data, and channel decisions.
Tool-first language loses buyers.
Students practice translating technical stack terms into service language a busy owner can understand.
I set up AI agents.
WithI help a business organize one repeated workflow into a reviewable assistant output.I automate your whole inbox.
WithI build a sample-data demo that drafts, summarizes, flags missing details, and waits for approval.I know Claude Code and Codex.
WithI use Claude Code and Codex to build, test, document, and package one workflow into a paid pilot offer.Agentic stack
Market the whole agentic AI stack, not just one tool.
The academy leads with Claude Code and Codex as the coding-agent operating skills students can market, then uses OpenClaw as a practical automation lab where selected workflows become visible proof.
Agentic AI services
Students learn to sell workflow improvement: one painful process, one useful assistant output, one human approval point.
Claude Code
Claude Code is taught as a core operating skill for reading codebases, planning changes, fixing errors, running checks, and reviewing diffs under user control.
Codex
Codex is taught as a core build, review, testing, documentation, and multi-agent workflow skill for turning ideas into inspected software changes.
OpenClaw
OpenClaw stays in the course as a practical lab surface for selected workflow demos, gateway checks, dashboard evidence, and channel decisions.
Human-approved systems
The course keeps agentic AI useful by requiring sample data, tests, explicit limits, and human approval before client-facing actions.
Preview the school
Students see value before paying.
Free users can access the two preview lessons and inspect the paid course structure. Paid lessons stay locked and naturally point back to pricing.
The Agentic AI Service Map
Choose one market, one workflow, one pain, and one practical result.
Sellable Demo
Create a lead follow-up demo a business owner can understand quickly.
Package And Price
Turn the demo into scoped work, a starter price, and a proposal.
Full curriculum
From setup to final project.
The course includes 41 practical lessons, setup rescue, module checkpoints, specialty app and YouTube tracks, and a final project packet.
Start Here
1 lesson or checkpoint
Agentic AI Service Foundations
3 lessons and checkpoints
Claude/Codex Setup And OpenClaw Lab
12 lessons and checkpoints
Choose A Sellable AI Service
3 lessons and checkpoints
Build Your First Agentic AI Systems
5 lessons and checkpoints
Package And Price The Service
4 lessons and checkpoints
Sell The Agentic AI Offer
4 lessons and checkpoints
Delivery, Handoff, And Next Offers
5 lessons and checkpoints
Optional: Client Apps, Hosting, And Domains
5 lessons and checkpoints
Optional: Faceless YouTube Service Workflow
4 lessons and checkpoints
Public launch
Join the academy for $49.99.
Includes the free preview, paid lessons, Claude Code/Codex operating path, OpenClaw lab proof where useful, workbook, final project, templates, and support resources. Educational training only. Results depend on skill, effort, market, offer quality, and follow-through.