I didn't plan to build MAI Team. It was born from frustration.
I was using ChatGPT for writing, Midjourney for images, another tool for summaries, yet another for code. Every time I had to copy, paste, reformat, explain the context from scratch. I was spending more time managing tools than actually working.
One day I told myself: what if there was a single system that coordinates everything?
The beginning: a Python file and a lot of naivety
The first version was a single Python script calling the OpenAI API. It did one thing: took a message, sent it to the model, returned the response. Nothing special.
But then I started adding "agents". One for analysis, one for writing, one for code. Each with a different system prompt. And that's when I realized the concept worked: not a generic assistant, but specialists collaborating.
What I've learned
1. Don't wait for perfection. MAI Team still has bugs. But users give me real feedback worth more than months of isolated development.
2. Security is not optional. I had to rewrite the entire auth system after discovering the JWT secret was hardcoded. Embarrassing but instructive.
3. Multi-platform is 3x the work. Web, Desktop, Mobile. Every bug needs fixing three times. But users appreciate it.
4. AI is not magic. The Team Leader sometimes says wrong things or claims to have done things it hasn't. I had to build an entire "no false completion" system to prevent it.