aichannel

At Gaana, we built a recommendation engine used by over 200 million users.

It works because it knew you, not just because it had a fancy algo.

Your taste, your habits, your listening habits.

Founder / CEO - @fantv, love Web3 ethos, established Web2 Founder, largest music streaming app India (175 mn+ users), Produced 250+ songs with 15 bn+ streams

AI agents work the same way.

Features are easy to copy.
Context isn’t.

If your agent knows:

🟪 the task
🟪 the user’s history
🟪 the tools available
🟪 and the expected outcome

…it’s already 10x better.

If you’re building AI agents right now:
Don’t just prompt better.
Design systems that learn, adapt, and remember.

Context beats code.
Every time.

Context becomes the moat.

Your agent stops being “the one with the most features.”
It becomes “the one that gets me.”

That’s when you’ve won.

But this context isn’t static.
It compounds over time.

The more the AI agent helps, the more it learns.
The more it learns, the better the outcomes.

And better outcomes = more usage = more data.