I asked my entire AI community one question. Every single person said the same thing.
I run a community of business owners, agency owners, SaaS founders, and consultants. Yesterday we all got on a call and I asked them: “What’s the hardest part about using AI for your business?”
Every. Single. Person. Said. The. Same. Thing.
Then I asked the follow-up. “Who here is feeling anxious about the development of all these new AI tools?” Every single person raised their hand. Including myself.
There were over 15 business people on that call. Rock, who runs a GoHighLevel agency. Jason, who’s building voice agents. Marcine, a beginner with a newborn. Chris Kramer, feeling overloaded from scrolling on socials. All of them overwhelmed. All of them stuck.
And I want to be honest here. I was part of the problem. I was the guy testing every new AI tool, making videos about them, telling you to try them. Until I saw what it was actually doing to people in my community.
This Anxiety Is Not Your Fault
Here’s the thing. This anxiety is not a personal failure. It’s a systemic flaw in how we’re being taught to adopt AI via social media.
Every single person trying to adopt AI is in the same position. We’re in the wild wild west of AI technologies and nobody wants to admit it. That’s what’s going on right now.
Every AI YouTube video is pulling you to the left. This video, this blog post, is trying to pull you to the right. I want you to become a focused builder. I don’t want you anxious. I want you building. I want you applying what you learn to build something functional that generates real value.
Tool Chasers vs. Focused Builders
There are really two types of people right now when it comes to AI tools. General tool chasers versus focused builders.
The tool chaser has shallow knowledge across 20+ different tools. They’ve practiced a thousand punches one time each. Everything is rigged up with band-aids and duct tape. They have a plethora of subscriptions, paying hundreds in monthly fees.
The focused builder practices strategic laziness. They master just one agentic tool. They’ve practiced one punch a thousand times. They have a unified system with self-healing code bases. They’re cancelling subscriptions by building their own custom solutions with one AI tool at a time.
Spoiler alert: the focused builder wins every single time.
It comes down to chasing and feeling a high amount of anxiety, or being a focused builder and standing above the noise.
Step Zero: Get Above the Dance Floor
Now let’s talk about step zero. Getting above the dance floor.
One of the greatest coaches in my life, Alan Finkelstein, ex CEO of all the Jewish Community Centers in the United States, gave me this exact advice. I apply it to everything in my life, not just AI systems.
Imagine you’re in a gymnasium and there’s a balcony above. You want to get up there and watch yourself behave, how you play. You can’t build an effective AI system while dodging elbows in the weeds.
The key is separating yourself from the tools and watching yourself behave objectively. Looking at your entire business objectively.
The technology doesn’t matter until you can answer this question: What is the highest lever I can pull in my business right now?
Cash flow. Lead generation. Operational scale. Where do you stand?
The Diagnostic: Find Your Target
Once you’re above the dance floor, here’s the diagnostic.
First off, who are you? Are you a solopreneur? An agency? A corporate employee? Your answer changes everything.
If you’re a business owner, the question is: what is the critical bottleneck in my business right now? Is it processing or delivery of services? Data and analytics? Or inflow of leads?
If it’s the inflow of leads and you can’t handle that process, the target is automating your pipeline.
If you’re a corporate employee, ask: what consumes 80% of my time? Is it complex problem solving or just repetitive tasks? If it’s the repetitive stuff, focus on building internal automations or scripts.
Each path leads to a target. Something you can lock in on. The core message is this: never deploy an AI agent or system without actually identifying the target first.
It’s like wanting the company logo before you have the brand values in place. It just doesn’t work.
Jason, for example, is building AI agents for contractors, but hasn’t generated leads yet. The bottleneck isn’t building the voice agents. It’s the pipeline before it. That’s his target.
Take a second. Ask yourself who you are. Ask yourself the critical question. What is the bottleneck, or what’s consuming 80% of your time? Then pick a target.
The One Environment Rule
At CC Strategic, we focus on the one environment rule. Stop searching for the perfect combination of AI tools. Pick a single agentic coder and let it be your operating system.
Whether it’s Claude Code, Cursor, or something else, when you focus on one agentic tool to build all of your workflows, all of your tools work under one house.
The goal isn’t to just use AI to do all your work for you. The goal is to build a unified engine that pretty much renders your current workflows obsolete. Consolidation, baby.
My co-founder Chris Kahler and I use Claude Code exclusively. Someone like Eric Misho uses a different agentic coder for the most part. Not that one’s better than the other. We’ve just picked one lane and got extremely dangerous with it.
What matters is you pick one and go 90 days deep on it. As my partner Chris said on the call, “Go deep on one thing that works well and crack the code on it.”
Want me to help you figure out which agentic coder is right for you? Work with me 1-on-1 and we’ll map it out together.
What Going Deep Actually Looks Like: The 5 Levels
So what does going deep actually look like? There’s levels to this.
Level 1: The Tinkerer
If you’re using Claude Code, you’re customizing your CLAUDE.md file. The what, the where, the who. You’re tinkering. Most people stop here.
Level 2: The Skill Builder
You’re finding out about skills. You’re downloading GitHub repos. You’re beefing up your setup.
Level 3: Dynamic Hooks
You’re using personalized agents to inject keyword-matched rules on the fly as you’re communicating with your AI. This is where things start getting interesting.
Level 4: The Builder / AI Savant
End-to-end orchestration. You’re deploying agents that enforce an entire plan and build for you.
Level 5: Enterprise Hardening
Multi-agent security architectures with devil’s advocates and vulnerability remediation. You’ve cleaned house on whatever your agents are building. It’s production-ready.
Most people find themselves stuck around levels one and two. But the people who are actually making money? They’re at levels three to five. That’s what depth looks like.
And the problem is most people just stop with the CLAUDE.md file. When you go deep, your file structure becomes the operating system. How you organize your files with your agentic coder defines your operating system.
The Poly-Repo Brain: How We Actually Use Claude Code
The way my team and I use Claude Code is the poly-repo brain style. We have a massive unified workspace folder. The agent has context on everything we do. We just organize it effectively.
Each project or app goes inside its own folder with its own planning documents and context. As we have ideas, they go from passion projects to internal apps or workflows as we build them. Ideas start as experiments with their own plans and grow into actual systems built end to end.
This is why going deep on one tool matters so much. Your file structure becomes compounded knowledge for your AI agent.
Context Management: The Secret Weapon
Here’s where it gets really interesting. When you use an agentic coder, the AI behaves differently as context fills up. The more you chat with it, the less effective it becomes over time.
The standard way: you’re moving forward and your AI agent is just forgetting decisions made in phase one by phase four.
The savant way: when we hit 30% remaining context, we create handoff documents and then reignite a new conversation with fresh context. This preserves intent and understanding of where you’re at in development.
We use an orchestration layer called PAUL. Right before context runs out, we run “PAUL pause” and it generates a handoff document. Then we run “PAUL resume” and it pulls everything right back into the conversation with fresh context. No compaction issues.
If you don’t manage context and let it run low, your agent does something called compaction. That uses a massive amount of tokens to absorb and summarize the conversation. It often leads to the AI missing nuanced details about the project midway through.
The savant way forces reconciliation. We’re reinforcing the initial plan and every phase after every single step.
Enterprise Hardening: Production-Ready or Bust
Vibe coding is fragile. Production-ready apps require security, especially if you’re going to make money from them.
We use a plugin called Aegis. Multiple specialized domain agents, one orchestrator, and one devil’s advocate that tries to poke holes in everything. It’s not about being pessimistic. It’s meant to surface problems ahead of time so we can solve them preemptively.
Aegis creates a remediation plan, then pushes it back to PAUL so it can fix all those problems for you. This is what depth really looks like at the top. You can’t get here from tool hopping.
The CC Strategic Engine: Putting It All Together
Here’s the full flow:
- Start on the balcony. Get above the noise. Look at your business objectively.
- Identify the highest lever to pull. Cash flow? Leads? Operations?
- Set up your workspace. Your poly-repo operating system.
- Create a PRD (Product Requirement Document). Your planning file.
- Run the orchestrator. Let PAUL execute on the plan.
- Harden the codebase. Let Aegis poke holes and fix them.
- Pull the lever. Cash flow is generated.
AI agents without a lever to pull is just noise. A business lever without orchestration is just an unexecuted idea. True mastery is connecting the two with zero friction.
Your Subscription Kill List
Here’s something to chew on. What does your subscription kill list look like?
Eric Misho had a teleprompter app he cancelled because he built it himself with a Python script. He also built his own Loom replacement. Instead of paying for generic dashboards, he built his own.
Every subscription you cancel by building the tool yourself is money saved and skills compounded. That’s the power of going deep on one agentic coder.
Your Homework
Your homework is simple:
- Pick your agentic coder. Claude Code, Cursor, whatever speaks to you. Just pick one.
- Find your biggest bottleneck. Get on the balcony. Look at your business objectively.
- Stop learning. Start building. Go 90 days deep.
If you’re feeling that overwhelm, I get it. I built the CC Strategic AI community on Skool specifically for people who want to go deep on AI systems without chasing every shiny new tool. The prompts, the frameworks, the support, it’s all inside. Join 5,000+ builders who are doing the same thing.
Need this done for you? Book a call with our team and we’ll build your AI automation engine from scratch.
Check out more tutorials on charlieautomates.com.
FAQ
Q: Which agentic coder should I pick?
It doesn’t matter as much as you think. Claude Code, Cursor, or any other agentic coding tool will work. What matters is that you pick one and go 90 days deep. My team and I use Claude Code exclusively, but others in our community use different tools and crush it. The key is depth over breadth.
Q: I’m a complete beginner. Can I still follow this framework?
Absolutely. The framework starts with getting above the dance floor, which means looking at your business (or job) objectively. You don’t need to be technical. Start at Level 1 with basic customization and work your way up. The community inside Skool has beginners with newborns making it work.
Q: How do I know what my biggest bottleneck is?
Ask yourself: what consumes 80% of my time? Or if you’re a business owner: where is cash flow getting stuck? Is it lead generation, service delivery, or data management? The answer to that question is your target. Don’t build an AI agent until you know what lever you’re pulling.
Q: What is PAUL and how do I get access?
PAUL is an orchestration layer we built as a Claude Code plugin. It handles context management, session handoffs, plan reconciliation, and end-to-end development workflows. It’s available through our Skool community and linked in the description of the YouTube video above.