Published
- 2 min read
The day I became a startup founder (sort of)
“There has been an error, please try again. Servers may be busy right now due to high demand.”
Weird.
I try again.
Same thing. Refresh the browser. Same thing. Try a different browser. Same thing.
What the …?
Earlier that day, I experimented with an AI writing tool. I don’t normally use them while creating LinkedIn posts. Since all those I’ve tried sound too much like AI, can’t replicate my voice, or they spit out something that I would have to spend more time editing than I would to write the post on my own.
But this tool I’d just purchased seemed promising.
The post drafts would still need some heavy editing. But I was willing to give it a go.
Everything worked fine during the trial, but now I can’t use the tool at all.
I contacted support. They replied after half a day: “Try again, please.”
I did. Same error.
“You fool,” I thought.
“You paid for an AI tool from some tech bro that doesn’t even work, was probably vibe-coded, and it wouldn’t produce good enough posts anyway.”
But then I got an idea.
“Wait a second, what’s stopping me from creating the same kind of tool, feeding it with my own posts, and seeing what it produces?”
And that’s when I decided to pursue it.
The way I saw it, it was a WIN-WIN situation:
- I will either fail and lose some money on AI tokens. But learn how to use AI in .NET apps, and document the whole process. WIN.
- Or succeed, make loads of money, buy Lambos, and move to a country where it’s summer all year round. WIN.
There is no 3rd option.
So here’s the plan:
- Create a frontend using React. Leave this part to AI.
- Create an initial backend using .NET. Experiment with AI agents, because why not.
- Figure out how to communicate with OpenAI, or some other API.
- Load my posts into the tool.
- Deploy to Azure.
- Since AI creates many security issues, take some time to investigate the generated code.
This is the start of a series where I’ll document the whole journey. From zero to a working LinkedIn post generator.
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