Blind Dev article
TCCC AI: why AI can produce real projects
A case about a real AI-assisted product: from idea to a system worth showing.
Based on Blind Dev personal experience and source posts; verify current details before applying.
Archive publication: the results, tool limitations and plans described here reflect the time of the original text.
Some people still say you cannot build proper projects with AI because it will produce nonsense.
My experience shows otherwise.
I see it in my own project, tccc-ai. For me, it demonstrates that AI can help create not just simple texts or one-off answers, but moderately sized projects too.
I am not talking about one small script.
A project like this already includes:
- A backend, the server-side part.
- A Telegram bot.
- A website.
- A user account area.
- A database.
- Payments.
- Batch processing.
- Notifications and reminders.
- Recovery after errors and restarts.
- Tests.
Another important point: TCCC AI itself uses AI models.
There are several stages:
- First, collect data about the project: its website and asset.
- Then perform the main analysis using a dedicated AI model.
- Review and refine the result separately.
- Add other signals to the result.
- Check the documentation.
- Finally, assemble everything into a finished HTML report.
AI here is not just a chat. It is part of a working system. Of course, projects like this are not built chaotically.
You need:
- A plan with stages of work.
- Error handling.
- Testing and verification of the result.
- A sound project structure.
Testing also happens in different ways:
- Check the project’s working scripts separately.
- Test functionality through test files.
- When needed, use a browser to check real interface workflows.
This is where an AI agent is especially helpful. It can speed up different stages: planning, implementation, verification and troubleshooting.
Then I still check the result myself and bring it to the standard I need, rather than spending time on lots of unnecessary attempts.
So saying that AI cannot help build projects seems simply wrong to me.
The trouble starts when you expect it to do everything perfectly on the first try, without a proper development process.
But used as part of that process, AI really can speed things up considerably.
I know someone with no programming skills who makes various tools. They even built a great website with a portal for learning about AI agents!
So you could make yourself a task board without sending data outside, a local income-and-expense tracker, a service for tracking exercise statistics, and much more.
Would you like to create any projects with AI? If so, what kind?
Source: original Russian post on VK. English translation.