I spent two days struggling with a small tool that just wouldn't work.
Last January, I tried Claude Code for the first time. I had it hooked up to Kimi's model and wanted to build a browser extension. Every time it said "done," it wouldn't actually work when I tested it. Errors piled up, fixes looped, and after going back and forth for two days, I was about to give up. Continuing wouldn't just mean failing—it was burning through tokens nonstop.
Then Claude released Opus 4.6.
I bought a membership on a whim and threw the exact same request at it. In half an hour, it went from zero to done in one shot. It invoked the browser extension to preview the results, simulated user input to run tests, found bugs and fixed them on its own, then told me: "You can try it now."
I opened it up—and it actually worked.
In that moment, I felt something strong: AI capabilities seemed to suddenly cross a threshold at some point. In certain scenarios at least, it wasn't just helpful anymore—it far exceeded your expectations. That feeling of zero gravity is something I experienced again and again in many contexts later on.
Different Models, Absurdly Large Gaps
That experience happened again later.
I was using Claude Code with Opus 4.6 to build a small plugin—a browser automation tool for Feishu (Lark) for a friend. I wrestled with it for three or four hours. Every time it said it was done, bugs appeared as soon as I ran it. I tried every approach and just couldn't crack it.
Then ChatGPT released 5.4. I said, fine, your turn. It ran for over two hours with almost no intervention from me, and finally got it working.
Honestly, by then I had zero expectations left. I thought this was probably beyond what current AI could do. And yet it just did it.
The exact same task: one model couldn't do it no matter what, another nailed it. The gap between them wasn't a matter of degree—it was a matter of possibility.
Locked Out of My Computer
Then one day, something went wrong.
I must have changed some config while tinkering with something, and suddenly I couldn't log into my Mac. I'd type my username and password, hit enter, wait a moment, then snap—right back to the login screen. Over and over. I just couldn't get in.
In the past, I probably would have thought: ask a friend for help? Contact an Apple engineer? But just thinking about the process—logging onto the website, waiting in line, booking an appointment, remote access, and still no guarantee of a fix—was enough to give me a headache.
Then I thought: could an AI on another machine fix this?
The problem was, I couldn't even open my own computer. How could an AI connect to it?
I started searching through my network for any device that was still functional. After looking around, I found one machine that was previously connected to the Zhipu AI model. The others either had no agent or couldn't connect either—only this one was still up. Fine, I had nothing to lose.
I used that machine to remotely connect to the broken Mac and had the AI diagnose it. While it investigated, I kept trying to log in from my end and fed back any new error messages.
Half an hour later, it found the cause. Some configuration file was corrupted; it fixed it for me, and I logged right in.
The feeling in that moment was very concrete. When you really need help and the traditional routes can't provide it, an AI agent that can connect directly to your machine—even if it's not the best model—can just get the job done.
Feeling More and More Like a Hacker
After fixing the computer, I started wondering about something else: could I use a coding agent even when I wasn't near my computer?
I asked Claude Code what to do. It recommended Tailscale, which I had never heard of before. Once set up, all my machines were connected to a virtual network. My phone could even connect.
From then on, if an idea struck me while walking down the street, I could pull out my phone, connect to my computer, and have the coding agent do the work. Truth is, remotely controlling an AI to do tasks has been possible for a while—most people just don't know how to set it up.
Later I ran into another problem: if my phone's network dropped or I exited the app, the running task would cut off. I asked the AI again, and it taught me to use TMUX to keep programs running in the background. Once configured, tasks could keep running, and I could check in on progress anytime.
That period felt pretty magical. Remote control, background processes, multi-machine networking—I used to think these were programmer-only skills, far out of my reach. One question to AI and it was all set up. I actually felt like the kind of hacker I used to imagine.
The Thing I Fear Most
But once you get used to this capability, the thing you fear most changes.
It's not that the computer breaks. It's that the agent goes down.
Several times, a coding agent on some machine suddenly stopped working because of a software update or config change. You've grown completely dependent on it for problems, and when it's suddenly gone, you don't even know how to fix it.
I later figured out a pattern: as long as at least one coding agent in the network is still working, I can use it to fix the others. Just like fixing that Mac I couldn't log into before. That's also why edge AI devices should be built like routers—online 24/7, always having at least one that's good.
But what if the last agent goes down too?
Honestly, that would actually be panic-inducing.
An Idea
Thinking about this, I realized the problem wasn't just mine.
More and more friends around me were starting to use AI tools and install coding agents, and when they worked, it felt great. But the prep work—opening up access, configuring environments—was much harder than expected. Once something broke, most people had no idea how to fix it.
You were enjoying the convenience, and suddenly it stops working. That letdown feels worse than never having used it at all.
I started thinking: what if people didn't have to tinker with the setup themselves? When you need help, you open a terminal, type one command, and an AI connects to help you solve the problem?
That was the starting point for Aima Service.
Aima Service
I spent some time with my team turning this idea into a product.
Several AI agents run in the background, on standby 24/7. No technical knowledge required in advance—just open a terminal, type one command, and you're started.
If your coding agent won't start, it helps you fix it. Want to install a new AI tool or dev environment? Hand it over. Some weird technical glitch on your device? Let it investigate.
We don't guarantee 100% success. AI capabilities are still improving, and some scenarios it can't handle today might work later. But the current success rate is higher than most people would expect.
We're offering a large amount of free quota right now—no payment needed, just log in and use it.
The Moments When AI Truly Moves People
One last story, unrelated to the product.
A friend of mine didn't use AI much and wasn't sure when to use it. Once he had a small conflict with his partner. He wanted to talk it through but was afraid of saying the wrong thing and making it worse. He tried asking DeepSeek. It gave him some communication advice, helped him avoid a few easily misunderstood phrases, and also helped him clarify what he actually wanted to express.
He later told me: AI is way more powerful than he imagined.
After that, he started actively seeking AI's help.
I've seen similar changes in myself, in him, and in many friends around me. People's perceptions of AI often shift not because it's convenient for daily use, but because in some moment when they truly need help and other options aren't working, they are genuinely moved.
I want more people to have moments like that. That's what Aima Service is about.
Go try it at aimaserver.com.