I Built an AI Agent System That Made £1,500 in 2 Days

I used to think AI automation was just hype. After watching hundreds of YouTube videos telling me to “download this, install that, buy this tool,” I had built plenty of flashy systems—but none that actually made money. Then I stopped following the crowd and built something different: an AI agent system modeled after Elon Musk, Steve Jobs, Gary Vaynerchuk, and Warren Buffett. I gave it a £10 million target. By day two, it had generated over £1,500. Here’s exactly how I did it, what tools I used, and why most people fail with AI automation.

Key Takeaways

• I earned £1,500 within 48 hours of deploying my AI agent system with a £10 million revenue target
• The “best” AI agent is the one that knows your business, not the most popular tool
• Hermes, Open Cloud, and Open Router offer powerful free alternatives to expensive subscriptions
• Installing too many skills wastes API tokens and crashes your system—strategic selection matters
• My curated database covers 250+ skills for 2026, with GitHub links and purpose ratings

Why Most AI Automations Never Make Money

Here’s the honest question I ask everyone: how many of you have actually earned money from the automations you’ve built? Most people haven’t. The reason is technical but simple—these systems are built to look impressive, not to function profitably.

When I started, I fell into the same trap. I’d install dozens of skills, connect multiple APIs, and create what I thought was a “Jarvis” system I could talk to. It felt powerful. But every conversation burned through thousands of tokens. Two questions in, my API limit hit, and I’d wait an hour to continue. The system was technically correct but practically useless for real business operations.

The breakthrough came when I realized that memory management is everything. Every skill you add requires the AI to read and process it. More skills = more tokens = higher costs and slower performance. I was essentially paying to make my own system worse.

How I Built My “Dream Team” of AI Agents

I stopped trying to find the “best” agent and started building agents that knew me. Here’s what that looks like in practice:

I created specialized agents based on real business minds. My Elon Musk agent thinks in first-principles and challenges my assumptions about scaling. My Warren Buffett agent analyzes my investment decisions and crypto trades. My Gary Vaynerchuk agent pushes my content strategy. They’re not perfect copies—obviously—but they embed different perspectives into my decision-making.

The result? I’m making better decisions faster because I’m stress-testing ideas against multiple mental models automatically. When I wake up, the system has already researched opportunities, identified risks, and prepared recommendations aligned with my goals.

The £1,500 Breakdown: What Actually Worked

I’m transparent about this: the £1,500 came from specific e-commerce activities my agents handled end-to-end. My eBay agent lists products, responds to customer messages, optimizes visibility, and manages advertising. When I told it to “create a design and publish it on Amazon KDP” and “create a 30-day fitness plan PDF for Etsy,” it executed while I was eating dinner.

The sales came in. The system auto-delivered to customers. I was at my day job while the automation earned.

But I need to be direct: this requires correct setup, ongoing refinement, and skill. It’s not magic. The people who fail treat AI agents like plug-and-play money machines. The people who succeed treat them like employees that need training, clear instructions, and proper tools.

My Curated Tool Stack for 2026

I’ve compiled nearly everything available—Hermes, OpenClaw, CloudSkill, Cursor, Codex, Gemini, GitHub integrations, Windsurf, OpenCode, Framework—into a single database. Not because you should use all of them, but so you know which ones to ignore.

Here’s my current assessment:

• Hermes: My top recommendation for beginners. Open-source, runs locally, 23,000+ community members. I use it for my eBay store, Telegram, Discord, WhatsApp, and Signal integrations.
• Open Cloud: Extremely advanced skill ecosystem. I use it for crypto analysis and content automation. Warning: significant security considerations—use a sandbox server.
• Cursor: 30,000+ skills available. Best for coding workflows.
• Codex: 10,000+ skills. Strong for debugging and code generation.

The key insight: Hermes and Open Cloud have overlapping capabilities. I started with Hermes (free, local), then migrated to Open Cloud when I needed more power. The migration takes seconds with a single command.

How to Start Without Spending Money

If you have a powerful computer, download Ollama and run models locally with unlimited free API usage (within their terms). The Q1 2.5 Codex Coder model runs at 4-5 GB and works offline—I used it on a plane with no internet.

If your computer struggles, use Open Router. Filter for “Free” models. Nvidia currently offers excellent free API servers. Check the Leaderboard to match models to your specific task—Q1 3.6 wins on cost-efficiency for language tasks, HY3 leads for programming, Gemma 2.5 Flash dominates content creation (though it’s paid).

For installation without coding knowledge, I recommend Antigravity or VS Code. Copy the install link, paste it in, and your agent configures in seconds. I demonstrated this live—my video content agent was running immediately after clicking “install.”

The Skills That Actually Matter

Think of skills like The Matrix—Neo downloads kung fu and instantly knows it. AI skills work the same way. But you wouldn’t download “helicopter piloting” if you’re learning self-defense.

I categorize essential skills by purpose:

• Research: Deep-dive analysis and market intelligence
• Content: Creation, editing, multi-platform distribution
• Developer: Code writing, debugging, API integration
• Productivity: Workflow automation, scheduling, task management
• Multi-Agent: Multiple specialized agents communicating and self-improving without constant human prompting

My rating system prioritizes daily utility. A “7” for me might be a “10” for you if you’re in prompt engineering or platform-specific development. The GitHub links are all verified and directly accessible from my database.

Critical Security Warnings

I must say this clearly: do not install everything you find. Each installation consumes disk space and creates potential vulnerabilities. Anthropic’s cybersecurity skills are powerful—intended for protecting systems, not attacking others. “Uncontrolled power is not power.” Use sandbox servers (I recommend CloudFix AI or Bluehost’s AI-optimized systems) so your projects continue even when your computer is off.

Verify sources rigorously. Official tools from Anthropic, Google, and established companies are safest. Community skills are valuable but carry higher risk—evaluate before installing.

FAQ

What’s the cheapest way to start with AI agents?

Download Ollama for local running with free API limits, or use Open Router’s free tier. Hermes through Antigravity requires zero upfront cost. I ran my first profitable system on entirely free infrastructure before scaling to paid APIs for better results.

How is your agent different from ChatGPT or Claude?

My agents are specialized, persistent, and integrated into my business systems. They don’t just answer questions—they execute tasks across eBay, Etsy, Amazon KDP, Telegram, and more. They remember context across sessions and improve based on outcomes, not just conversation history.

Do I need coding skills to set this up?

Not necessarily. Tools like Antigravity provide one-click installs. However, understanding basic API concepts helps significantly. I provide step-by-step walkthroughs in my School community livestreams, and the setup takes minutes rather than hours with proper guidance.

Why did you only make £1,500 if the target is £10 million?

£1,500 in two days from a new system validates the approach—it doesn’t complete the journey. I’m sharing real early results, not final outcomes. Scaling requires iterative improvement, additional skill integration, and market expansion. The system is working; optimization continues.

Final Thoughts

AI agents have reached a different dimension of capability. What I can do now—waking up to researched opportunities, running businesses through voice commands, automating entire sales cycles—still surprises me. But the tools are only as good as your strategy for using them.

Start with Hermes if you’re new. Migrate to Open Cloud when you need more power. Never install skills blindly. Always prioritize security. And most importantly, know what you’re building toward before you build it—because the most impressive-looking system is worthless if it doesn’t serve your actual business goals.

What will you use this for? Which agent are you starting with? I genuinely want to know—share in the comments below.

Watch the full video (in Turkish — English subtitles available):

Tools & Community

• TurkoLister — the AI listing tool I use to turn Amazon products into optimized eBay UK listings in about 60 seconds (from £4.99/month, £1 one-week trial).
• AI & E-commerce Community — my Turkish-speaking community ($19/month) with weekly live sessions.
• Subscribe on YouTube — new experiments every week.