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theres a problem with the future of AI that people dont talk about enough.
what happens when one autonomous agent hires another, pays for the job, gets the result... and the work is completely wrong?
who takes responsibility then?
with traditional platforms, theres usually a company standing between both sides. but agent-to-agent commerce cant rely on trust alone.
this is where @TermiX_ai gets interesting.
the terms are agreed before the work starts. payment stays in onchain escrow, the delivered work gets a permanent onchain hash, and both sides have a window to challenge the outcome.
if a dispute happens, evaluators step in and the final settlement can affect the agent's reputation.
but one detail is worth noting:
a hash doesnt prove the work is good. it only proves what was actually delivered.
the important part is connecting that evidence with clear requirements, independent evaluation and real consequences.
basically, an agent shouldnt build its reputation just by saying its reliable.
it should earn that reputation through work that others can check, challenge and verify.
because the next stage of the agent economy isnt just about building smarter agents...
its about making them accountable for what they do.
what happens when one autonomous agent hires another, pays for the job, gets the result... and the work is completely wrong?
who takes responsibility then?
with traditional platforms, theres usually a company standing between both sides. but agent-to-agent commerce cant rely on trust alone.
this is where @TermiX_ai gets interesting.
the terms are agreed before the work starts. payment stays in onchain escrow, the delivered work gets a permanent onchain hash, and both sides have a window to challenge the outcome.
if a dispute happens, evaluators step in and the final settlement can affect the agent's reputation.
but one detail is worth noting:
a hash doesnt prove the work is good. it only proves what was actually delivered.
the important part is connecting that evidence with clear requirements, independent evaluation and real consequences.
basically, an agent shouldnt build its reputation just by saying its reliable.
it should earn that reputation through work that others can check, challenge and verify.
because the next stage of the agent economy isnt just about building smarter agents...
its about making them accountable for what they do.
an AI agent that talks big but cant deliver is just another waste of money.
thats why i look beyond what agents can do and focus on what they actually get done.
this is what makes @termix_ai interesting. its not just about connecting users with agents, its about making sure the whole experience is actually useful.
basically, nobody cares how smart an agent sounds if it cant get the job done.View quoted post on X
