AI Agent Weekend Chronicles: 5.73 Million Tokens, Zero Grass Touched

ยท

,

What do you do on a long weekend? Some people touch grass. I decided to dive headfirst into the glorious chaos of AI agents. Naturally.

First things first: I spun up an Ubuntu VM. Why? Because I’ve been around the internet long enough to know that letting an autonomous AI agent loose on my personal machine is like giving a toddler a loaded smartphone. The VM had internet access, zero personal data, and enough leeway to make mistakes I wouldn’t have to explain to anyone. Safety first.

Agent #1: #PaperclipAI. I hooked it up to my #OpenAI Codex subscription, created a company, hired a virtual content development team, and let them loose. Before I knew it, they were cranking out posts and articles of surprisingly decent quality. I even got the agent to publish directly to my self-hosted WordPress site. At this point, I was basically a media mogul who hadn’t left the couch.

Next up: #OpenClaw, the crowd favourite. Installed it, pointed it at qwen/qwen3.6-plus:free on #OpenRouter, and asked it to blog about Oracle layoffs and shiny new AI models. It did a solid job. Grammarly’s AI detector gave it a clean 0% AI-generated bill of health. Take that, detectors. Either the AI is getting scary good at sounding human, or the detector is just vibing.

Then came #Hermes. And wow, what a tool. It practically deserves its own podcast. This thing can run the entire show solo. I fed it my resume PDF for a review. It said, “There’s potential here,” which is polite code for “this needs work.” Then it handed me a questionnaire like a career counsellor at a crossroads. I filled it out, fed it back, and Hermes promptly realized it didn’t have PDF creation tools. No panic. It made a .md file instead, told me to install the missing tools, and ten minutes later I had a freshly polished resume. Ten minutes. My last resume update took a procrastination cycle measured in seasons.

The plot twist: all of this is glorious, but these agents are absolute token guzzlers. They eat through tokens like I eat through snacks on a movie night. If you’re billing your corporate AmEx, sure, party on. If you’re like me and riding the free-model wave, you’re essentially paying with your data. The age-old bargain: convenience for surveillance.

Oh, and I almost forgot #Claude Code. I paired it with stepfun/step-3.5-flash:free on OpenRouter and asked it to build a WebUI so I could chat with it from a browser. Two hours. 5.73 million tokens. Endless questions and approvals later… I got a codebase that doesn’t work. Five point seven three million tokens. I could’ve written War and Peace in fewer tokens. Or at least a working to-do app.

All in all, the long weekend was a blast. I built companies, reviewed resumes, published blogs, and burned through tokens like a dragon with a credit card. Would I do it again? Absolutely. Would I do it on my main machine? …Let’s not get crazy.

Comments

Leave a Reply

Your email address will not be published. Required fields are marked *