How to build AI Agents better than 99% of people? [The 5 Most Important Steps]

How to build AI Agents better than 99% of people

Most people who try to build an AI agent end up with a fancier chatbot.

This video gives you a 5-step system for building a real one: how it thinks, what to give it, how to keep it focused, where it should live, and how to trust it in stages. No coding required.

What’s inside:

✅ The agent loop: diagnose, assemble, act, assess, and why it’s the difference between an agent and a one-time automation
✅ The 3-question filter that tells you whether a task deserves an agent at all
✅ Step 1: Aim. Write a “Definition of Done” instead of a vague instruction like “handle my emails."
✅ Step 2: Identity. The three files (soul, identity, user) that make an agent behave like yours, and how to let the AI interview you to create them
✅ Step 3: Equip Playbooks, Tools, and Memory, and Why You Should Let the Agent Learn from Your Real History Instead of Writing Everything from Scratch
✅ Step 4: Narrow the scope. One specialized agent per job, a manager agent that only routes, and when to chain agents versus run them in parallel
✅ Giving it a home. Why your laptop is the wrong place to run an agent and what a VPS is
✅ Step 5: Trust it in stages. Approve first, loosen the leash as it proves itself, then scale into a team.

Pick one repetitive task from your week and run it through the 5 steps today.

Timestamps:

0:00 Why most “AI agents” end up as fancier chatbots
0:30 How an agent really works: diagnose, assemble, act, assess
0:59 Should this task be an agent? The 3-question filter
1:20 The 5-step agent blueprint
1:38 Step 1: Aim at a specific outcome (the Definition of Done)
2:39 Step 2: Give it an identity (soul, identity, and user files)
3:05 Step 3: Equip it (playbooks, tools, and memory)
4:09 Step 4: Narrow the scope (multi-agent teams)
4:48 Giving your agent a home (why not your laptop, and what a VPS is)
6:28 Step 5: Trust it in stages, then scale into a team
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In May 2022, my life changed.

Up until that point, I had spent over 20 years as a serial entrepreneur, founding multiple companies and becoming globally recognized for my expertise in direct marketing, copywriting, compliant marketing, and now, investing in AI & Martech SaaS.

In 2022, my company, Lurn, was on track to hit $40 million/year, and I was preparing to sell it—ready to step back, spend more time with my kids, and move on to my next chapter.

But then, in May 2022, everything changed.

A FedEx package from the FTC landed on my desk.

And just like that, my entire world turned upside down.

The Fight of My Life

For the next 18 months, I battled through a grueling legal process.

– My company was in trouble.
– The sale I had planned was gone.
– The lawsuit cost me over $15 million—$2.5M in fines, plus millions more on my team, lawyers, and discovery.

It was one of the hardest times of my life. But as painful as it was, it taught me something invaluable.

Something that I’ve always taught to millions of Entrepreneurs over the
years…

When Life Pushes You Stand Straight, Smile & Push It The Heck Back

When I finally settled the case, I realized something:

Most entrepreneurs don’t understand compliance… until it’s too late.

#ai #agenticai #aiagents #claude #chatgpt

Charlie Page

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