So, you know how there are projects out there shipping what they call "autonomous agents", right?

Turns out in reality, a VAST MAJORITY of those agents are NOT actually autonomous.

All of them rely on SOME sort of execution verification in the end, which basically defeats the purpose of having these agents other than skipping a few steps.

We've also seen other attempts like using verifiable compute as proofs but they just aren't enough.

There are just too many questions like:

• Did it use valid data?

• Did it make the right descision?

Quick example:

Yes the agent minted your nft successfully ✅

HOWEVER, it computed and delivered the proof but all your eth is gone - it made the wrong decision and used all your eth for gas..oopsie.

..but who punishes this agent?

What we need are truly permisionless autonomous agents that will never screw up and here's how @TheoriqAI is developing an agentic environment filled with mathematical assurances:

Continuous evaluation, slashing, swarm collabs.

These are how it sets itself apart.

Agents lock collateral and are continuously evaluated. When they screw up, they get penalised.

Basically like Ethos, someone will remember.

Governance lets the protocol change the evaluation criteria, adapting to future threats.

It's a 3 layered network, essentially, that combines agentic swarms with trust.