I tried to make a Telegram bot using AI. The bot was supposed to grab videos from TikTok and Instagram, then send them to me in DMs, groups, and through inline mode. But it didn’t work out.
Every AI I tried (Claude, Gemini, GPT-3, Grok) kept making mistakes. They’d fix one error and create another. Starting over didn’t help either. It was super frustrating.
The weird thing is, these AIs are great at other coding tasks. They can even help with tricky stuff. But for some reason, Telegram bots are giving them trouble.
I even tried adding the Telegram docs as context, but it didn’t make a difference. Any ideas why this might be happening? Has anyone else run into similar issues with AI-generated Telegram bots?
I’ve had similar frustrations trying to use AI for Telegram bot development. In my experience, the issue stems from the complexity of integrating multiple APIs and handling asynchronous operations in a real-time messaging environment.
What worked for me was breaking down the bot into smaller, modular functions and having the AI assist with those individual components rather than the entire bot at once. I’d then piece together the modules myself, which allowed for easier debugging and iterative improvements.
For video downloads specifically, I found it helpful to use established libraries like yt-dlp instead of reinventing the wheel. This approach, combined with careful error handling and logging, eventually led to a functional bot.
It’s definitely a challenging task, but don’t give up! The process of working through these issues can be a great learning experience in itself.
yeah, i’ve had similar headaches with AI and telegram bots. the problem is probly that these AIs dont really get how all the different parts work together in real-time.
what helped me was using pre-made libraries for the tricky stuff like video downloads. also, testing each little part separately before putting it all together made a big difference.
dont give up, dude! keep at it and youll figure it out eventually.
I’ve encountered similar challenges with AI-generated Telegram bots. The complexity arises from the need to integrate multiple APIs, handle asynchronous operations, and manage state across different chat contexts.
One approach that yielded better results was to focus on creating a robust error handling system first. This allowed for easier debugging and gradual improvement of the bot’s functionality. Additionally, thoroughly testing each feature in isolation before integration helped identify and resolve issues more effectively.
For video downloads, consider using well-established libraries and APIs specifically designed for this purpose. This can significantly reduce the complexity of your bot’s code and improve reliability.
Lastly, don’t underestimate the importance of proper deployment and hosting. Ensuring your bot has adequate resources and is running in a stable environment can make a substantial difference in its performance and reliability.