Day 1 · "Me & Agent" series

Six months ago, I was drowning.

Three projects, a dozen Telegram chats, a couple of servers, and the constant feeling that I was the bottleneck of everything. A client waiting for a reply at 1 a.m. A server down at 3 a.m. Someone asking "so, any updates?" for the fifth time that day. And you're alone. Always alone.

I'm not complaining — that's normal for a solo techie. But at some point you realize: this can't go on. Either you grow and delegate, or you burn out.

Hire a team? Expensive. Freelancers? The ones who actually know their stuff are rare, and booked six months out.

That's when I stumbled onto AI agents.

#What an AI agent actually is

No marketing, just plain talk.

ChatGPT is like a calculator. You press the buttons, it computes. Powerful, but manual — you have to sit there and type the prompts.

An AI agent is like an accountant. You say "calculate this quarter's taxes," and it goes and does it. Opens the documents, enters the data, builds the report. You only set the task and check the result.

An agent is a program that doesn't just answer questions — it performs actions. Send an email. Publish a post. Check a server. Write code and run it. Reply to a client at three in the morning.

#My first agent

I started with the simplest thing — a Telegram bot that answers routine questions.

Before: a client writes "how much?", I open the chat, type a reply, hit send. 30 seconds. Multiply by 20 such questions a day = 10 minutes. Sounds trivial.

But those 10 minutes are smeared across the whole day. You get pulled off the task, switch context, spend 5 minutes remembering where you were. Net cost: an hour to an hour and a half of clean time per day, just for "how much?"

I set up an agent in one evening. It reads messages, understands the gist, and replies. If the question is complex, it forwards it to me. If it's simple, it closes it itself.

A week later I did the math: 70% of questions handled without me. I wake up, open the chat — 15 conversations already done. Clients got their answers. I wasn't needed.

#What came next

A month in, I had three agents running: a support agent, an auto-posting agent, and a server-monitoring agent. Together they took roughly 40 hours of grunt work off my plate every month.

#Not everything went smoothly

There were failures too.

I configured the first agent sloppily and it started promising clients discounts that didn't exist. I had to apologize and patch it.

The second one treated a spam filter like a client and tried to sell services to an advertising bot. Funny — but lesson learned: test your agent on idiotic scenarios.

The third just stopped working over the weekend and I only noticed on Monday. Now I have monitoring on my monitoring.

#The main thing I learned

An agent is not a replacement for a human. It's a tool that removes the grind. Anything repetitive, anything templated, anything "open–copy–paste" — that can and should be delegated to an agent.

Creative decisions, hard negotiations, strategy — still a human. But now the human actually has time for them.

#What's next

I keep experimenting. On this blog I'll share the real story — no "innovative solutions" and "synergies." Honestly, as it is.

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