Part 2: Taking Agents to the Next Level—How to Build Smarter, More Efficient AI Companions (Even in ChatGPT 01)

Welcome back, fellow AI explorers! If you read Part 1, you already know why creating AI agents is like hiring a squad of genius-level assistants who never sleep. I talked about how I created a super therapist from the techniques of Phil Stutz, and the genius therapists that were the inspiration behind NLP. Today, we’re going deeper into the magic behind agents and, more importantly, how to turn them from taskmasters into intuitive, adaptable systems that anticipate your every need. Oh, and I’ve got something big to share—if you're using ChatGPT 01, you're probably thinking, "But Joey, there’s no agent functionality yet!" Well, hold on tight because your guy Joey Powers is here with a little secret—there is a way to make it work. I’ll reveal exactly how in the next post, but for now, let’s dive into leveling up your agents!

So grab your Everyday Dose (again, not an ad, but trust me, it’s my go-to), sit back, and let’s turn those basic agents into fully-fledged, hyper-efficient digital companions!

Why Stop at One Agent When You Can Have a Whole Network?

Here’s the kicker, friends: Why settle for a single AI agent when you can create an entire network of agents that collaborate with each other? We’re talking about AI ecosystems where agents don’t just execute commands in isolation—they share data, insights, and anticipate your every need together.

Picture this:

• Agent 1 is monitoring your email inbox, flagging high-priority tasks, while...
• Agent 2 is analyzing your calendar to optimize your daily schedule, and...
• Agent 3 is handling your social media strategy, keeping you a step ahead of your competition.

The best part? They all talk to each other. No manual handoff, no missing information—just smooth, seamless AI collaboration.

The Secret Sauce: Dynamic Data Sharing Between Agents

What sets this level of AI mastery apart is data sharing between agents. Imagine the possibilities when agents aren’t siloed—they are aware of each other’s tasks and can make dynamic decisions.

Here’s an example from my own setup:

When I’ve got a meeting coming up, my calendar agent flags it, but then my preparation agent jumps in. It pulls the latest data on the client, recent social media mentions, and even checks news alerts to ensure I’m walking into that meeting armed with knowledge. If this sounds like magic, it’s because it is!

You know how the big boss never misses a meeting, rarely misses a task and always responds to that email well maybe its because he has his own PA - well you can have that too. I have ADHD, and I've always thought if I could hire someone to manage my calendar, manage my 7300+ unread emails and my to do list then I could do amazing things. WELL I don't need to hire that person anymore, I created that person(a) ! The MAGIC is having those agents behave in a coordinated way.

How to Create Your Own Agent Network

To build this AI ecosystem, you need to start with a few tools we touched on in the last post. Let’s go deeper:

1. RelevanceAI – This is your secret weapon for creating ultra-smart agents that not only respond but also learn and evolve. It’s like hiring an agent that doesn’t just follow instructions but figures out better ways to help you.
2. Make – This tool connects your agents to your workflows. Think of it as the thread that ties your AI network together. You can create rules, set triggers, and watch your agents work in harmony.
3. Supabase – Now we’re entering database territory. Supabase is your back-end hub that stores all the data your agents need to access.
4. n8n – This automation tool is the glue that holds your agents together. It enables your agents to collaborate, share data, and make sure nothing slips through the cracks.

Unlocking Super-Agent Capabilities

When you combine these tools, you go from having helpful assistants to an entire team of super-agents that operate like the Avengers of AI.

• Financial Tracking Agent: Scans your accounts, alerts you when you’re overspending, and syncs with your expense tracker agent.
• Content Creation Agent: Scours the web for trending topics, generates outlines for your blog posts, and schedules social media teasers.
• Business Strategy Agent: Analyzes market trends, cross-references them with your business goals, and sends actionable insights to your inbox.

In this world, you’re the boss, and your agents are your fully empowered executive team.

Get Ahead with Adaptive Learning Agents

Here’s where things get even juicier: adaptive learning. Your agents should get smarter the more you use them. Thanks to RelevanceAI and Supabase, they’ll start learning from patterns in your behavior. Before long, they’ll know how you like your morning routine, which clients need priority attention, and even when you’re likely to procrastinate.

My AI Network in Action

Let me give you a behind-the-scenes look at how my agents are working for me right now. While I’m typing this blog post, here’s what’s happening in my AI ecosystem:

1. My Email Agent is sorting through my inbox, flagging the important stuff, and responding automatically to routine queries.
2. My Content Agent is gathering trending data for my niche, creating outlines for my next blog post, and scheduling social media teasers.
3. My Finance Agent is optimizing my subscription services, ensuring I don’t overpay for tools I barely use.

All of this is happening while I’m fully focused on delivering this blog post. Tell me that’s not game-changing!

The Future of Agents: Predictive AI

The future of agents isn’t just about responding to your commands—it’s about predictive AI. Soon, your agents will be so advanced they’ll predict your needs before you even know you have them.

• Your travel agent will book flights and hotels based on your calendar before you even think about it.
• Your personal health agent will track your fitness goals and suggest meal plans based on your macros.

This is where AI is heading, and you want to be on the frontlines when it happens.

Final Thoughts: Your Next Steps in Agent Mastery

If you’re ready to take this leap, start small:

1. Create a basic agent using RelevanceAI and Make.
2. Set up Supabase to store the data that fuels your agents.
3. Use n8n to build workflows that connect your agents into a cohesive ecosystem.

Trust me, once you’ve built your first network of agents, you’ll never look back. Get ready to level up your life, your business, and your AI game.

Bonus Teaser: ChatGPT 01 Agent Workaround

Now, I know what some of you are thinking. ChatGPT 01 doesn’t have agent functionality (yet), but that doesn’t mean you’re out of the game. There is a way to simulate agent-like functionality even in ChatGPT 01, and in my next post, I’ll show you exactly how to do it. Stay tuned for the insider method that will give you the power to create agents even before the feature officially arrives!

Stay sharp, stay ahead, and let’s build your AI empire together!

— Joey Powers

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