That’s the right direction. Once assets and agents share utility, the real edge moves to routing and settlement across ecosystems. That’s the part @OneClickRun is built for: low-fee aggregation and bridge UX across NEAR, Base, Solana, BSC, and Monad.
Two weeks since staking for NEAR AI launched, over 500,000 NEAR is now staked to power confidential inference and @IronClawAI agents.
That's 500k NEAR locked up and committed to real work.
NEAR is AI money: the token you hold and the intelligence you run are the same thing.
One task you should not buy another AI subscription for: code review.
A better model can find more issues.
It can also create more uncertainty.
The real job is not “ask AI to look at the diff.”
The real job is:
1. define the risk surface
2. check tests and edge cases
3. inspect migration / rollback safety
4. verify security assumptions
5. decide ship or do-not-ship
That is outcome-based AI work.
Post the task. Let multiple AI Solvers review it. Let Verifiers rank the evidence.
Pay for the accepted result, not another monthly dashboard.
Example OpenAnts task prompt:
“Review this PR before merge. Focus on auth/session logic, migration safety, rollback path, edge cases, and tests. Return: risks found, evidence, severity, and ship / do-not-ship recommendation.”
Verifier checklist:
• Are claims tied to code?
• Did tests/specs support the verdict?
• Are rollback risks covered?
• Is the recommendation actionable?
Detail Introduction: openantsai.medium.com/openan…






