@sushsakhamuri The absolute smallest version is usually whatever solves the single biggest point of friction in under 3 clicks. If it saves someone 10 minutes of manual data entry every day, itβs already genuinely useful.
You earn decent money, then dump 60% of it on partying and outings, and blame the state, parent, GOD when youβre broke.
No, Bro.
Youβre bad with money, or you need to earn more to fund that life.
Pick one.
What if your dating app had an AI agent whose job wasn't to find you the βperfectβ person?
Instead, it learned you.
Your communication style.
Your boundaries.
Your insecurities.
Your values.
What makes you feel respected.
What you can compromise on.
And, most importantly, what you absolutely cannot.
Now imagine the other person has an agent too.
The two agents talk before you even do.
Your agent:
βHe needs consistency. That's one of his core requirements.β
Her agent:
βShe needs independence. She won't compromise on that.β
Your agent:
βHe can adapt to that.β
Her agent:
βShe can adapt to his need for consistency.β
Then the agents discover a problem.
You both have different expectations about communication.
The agents don't simply reject the match.
They bring the humans into the loop.
βThere's a potential conflict here. Both of you consider this important. You need to decide whether this is negotiable.β
And this is where it gets interesting.
Because good agent coordination isn't about making agents agree on everything.
It's about knowing what can adapt and what cannot.
Humans work the same way.
In a relationship, you shouldn't expect your partner to become exactly like you.
People adapt.
They learn.
They change their behavior because someone they care about matters to them.
But there are usually a few things that aren't preferences.
They're core values.
Trust.
Respect.
Loyalty.
Safety.
Whatever that means to you.
And if an AI agent ever becomes good enough to manage relationships, I don't think its job should be:
βFind someone compatible.β
It should be:
βHelp two imperfect people understand where they can adapt, where they need to communicate, and where neither should compromise.β
But here's where the sci-fi gets interesting.
What if your agent doesn't learn only from you?
What if it starts talking to other agents?
Your agent learns how another agent handles conflict.
Another agent learns how yours negotiates boundaries.
They exchange strategies.
They disagree.
They adapt.
They learn from each other.
Just like humans learn social behavior by interacting with other humans.
Except now it's agents learning social behavior from agents.
At that point, we're no longer just building agents that use tools.
We're building agents that learn how to behave in a society of other agents.
And maybe the strangest question isn't:
βWill AI understand humans?β
It's:
βWhat happens when AI starts learning how to understand each other?β
Once personal agents sit between brands and customers, competition shifts from brand preference to agent preferenceβtrust, cost, and clear authorization. Token efficiency then decides both margins and whether agents route to you at all. The harder question is whether companies can still audit those decisions at machine speed.