I opened up Agentic AI but have not had much time to talk about it or create content explaining what Agentic AI is and whether or not you should care. Turns out, many of my audience are still pretty new to AI, and not already familiar with this topic (not realizing how valuable it is) Just this week alone I have had agentic AI save me probably 100+ hours.

The original course open-window was going to close tonight at midnight, but I'm giving it more time to expand on these topics to my audience and launch some explanatory emails.

I've spent a lot of extra time migrating my site to the improved UX (let me know what you think), and wrapping up some other work, but now I have more time to share more about agentic AI.

SO what's included? and which tier should you get?

Tier 2 is focused mostly on building (real, hands on examples). This is the point where most AI workflows start to collapse because the work starts to get more complex. How do you utilize AI without introducing countless bugs or regressions? If you're unsure which to get, I'd highly recommend #2 as that's where we go to real workflows for production-level environments.

Check out Agentic AI ->

I've continued to expand on the table of contents, this is still an early access preview so it's subject to change, but here's a pretty good structure if you're curious:

What's Included? Level 1

Fundamentals of AI and Agents (The Correct Way)

5 lessons

  • Intro to LLMs - Everything You Need to Know Before Starting
  • Working with Agents - AI that works on on Your Goals
  • Claude Code - Master your Tools First
  • Claude Repository - Version Control and Change History
  • Building a Vault - The HQ for Self Improving AI

Becoming a Claude Code Superuser

5 lessons

  • Skills and Permissions - Allowing Autonomy, Preventing Destruction
  • Subagents - Delegation for Parallel Execution
  • Hooks - How to Verify Every Response
  • Listeners and Webhooks - Make AI Work for You Without Asking
  • MCP - Grant AI Access to Anything or Everything

Branding, Design, Analytics and Media

5 lessons

  • The AI Design Era - What to Fight and What to Accept
  • Visual Diagram Generation - Enhance your Work with Designs, Flow charts, and Graphics
  • Web Diagrams - Web Native Visualizations for Specs, Prototyping, Documentation
  • Next Level Analytics and Dashboards - AI Super Powers with Charts, HTML Canvas, and Vector Graphics
  • AI Enhanced Branding - Style Guides and Component Based Media Kits

MCP + Applied Integrations and AI Operations

5 lessons

  • Product Automation with Claude Code - How to Make Claude a Software Engineer
  • Landing Pages - Optimized, On-Brand, High Converting Websites
  • Lead Collection - Turning Visitors into Prospects
  • Marketing Automation - Nurturing Leads
  • Docs and eLearning Generation - Increase Discovery and Automate Training and Onboarding.

What's Included? Level 2

Agentic AI Fundamentals

5 lessons

  • The Problem with Claude - Why You're Agent is out of Control
  • Setting Up Our Knowledge Vault - Scoped Workflows for Self-Healing AI
  • Subagent Orchestration - Why have 1 AI when you can have 10?
  • Edit Workflow and Subagent Usage - Strategies for Effective Agent Utilization and Token Savings
  • Domain Specific Knowledge - Optimistically Classifying Problems Specific to Our Goal

Autonomous AI

5 lessons

  • Set Up Our Project - Architecture Fit for Agents
  • Dockerized Claude and Bypass Permissions - Let your Agents Conquer the World (while you sleep)
  • Safe Containerization - Watch this Before you Push to Prod
  • Getting Started with App - Few Shot Prompting in Code
  • Deterministic AI - Building our Quality Enforcement

AI Software Engineering

5 lessons

  • Designing our Subagents - Verification for Extended AI Sessions
  • Agent Delegation - Proper Context Management and Strategies for Effective Subagents
  • Product Spec - The Ultimate Source of Truth
  • Domain Specific Verifiers - Going Beyond General AI to Expert-Level Domain Knowledge
  • Design Spec Evaluation - The final Checks and Review Process

Production App

5 lessons

  • Design and Headless Agents - How to Design with Your Eyes Closed
  • Building the UI Mockup - Fix the UX Before you Build the Wrong Thing
  • Implementing the Product Spec - One Shot Prompt with Proper Planning
  • MVP and Scope Creep - Smoke Tests and Human Checks
  • Deploying Our App - How to Go Live (and still sleep at night)

Next Steps

This program is going to be a huge focus of mine, as I've been using AI and agents for 6 months. At this point I'm working with them daily to help me with as many tasks as possible.

I'm very confident that this course will help you achieve more and do your work better and faster. This is a sure way to 10x your potential output as an AI user, software developer, or biz owner. And I want to help you get the most from this material, which is why I include 2x 1:1 calls with the level 2 purchase.

Any questions, just reply.

Get started today - https://www.codebreakthrough.com/agentic-ai


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