Congrats @fhenix on this crucial milestone.
A programmable economy needs programmable privacy for money flows.
BlackRock is right: AI is machine-native intelligence, crypto is machine-native money.
Autonomous agents need one more thing: machine-native accountability and insurance.
@TidestoneLabs is building that layer.
AI is machine-native intelligence and crypto is machine-native money. Both AI and digital assets translate real-world inputs into formats machines can use. Our latest research looks at why that connection could become increasingly important as AI evolves. blackrock.com/us/individual/…
Reineira is now Tidestone.
We build infrastructure to insure AI agents and make them accountable.
The future belongs to agents. Accountability is what lets them move faster.
tidestone.xyz
Congrats, Fhenix team! A big step for confidential computing.
Fhenix goes mainnet this October.
For years, transacting onchain came with a tradeoff: participate in open, composable markets and, with it, surrender the privacy of your financial activity.
Dual mode turns what was once an inevitable tradeoff into a property of your asset itself.
For the first time, the same asset can be public when you want and confidential when you need- without sacrificing composibility or fragmenting liquidity.
The era of dual mode money is here, more soon.
Would you trust AI agents more if they had to pay for their mistakes?
63%Yes
37%No
563 votes • Final resultsAI agents are becoming economic actors.
That means their commitments need defined terms, evidence, and something behind them.
An agent’s reputation does not define the risk of its next task.
The task does.
Reineira puts a defined capital commitment behind each run, so exposure is tied to what the agent is actually about to do.
reineira.xyz
A claim needs a definition of done.
A failure needs a definition of done fixed before the run, not after something goes wrong.
Read more:
reineira.xyz/blog/a-claim-ne…
Agents can now pay and trade.
The next layer is accountability: clear mandates, defined limits, and capital behind the work.
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A successful run tells you very little about an agent.
The real test is what happens when it fails.
Reineira is the infrastructure that lets you set the task terms and capital backing before execution starts.
reineira.xyz
Every enterprise buyer asks the same questions.
The problem is answering them from scratch every time.
A track record should travel with the agent.
Read more:
reineira.xyz/blog/diligence-…
Great to see the open agentic economy taking shape. Accountability will be an important part of making it work at scale.
The agentic economy is starting to take shape.
Circle’s new vision paper explores an open economy where agents can provide labor, be discovered and ranked on merit, and get paid for the work they perform.
A new internet primitive is emerging: software that can do work and earn when that work is used.
circle.com/blog/building-the…
Permission tells an agent what it can do.
Accountability shows what it actually did, and what happens when something goes wrong.
Reineira defines the terms and recovery path, then creates the record capital can trust.
reineira.xyz
An agent can have a budget without having an owner.
Authority moves to the agent. Exposure stays with the company.
The mandate has to exist before the run.
Read more:
reineira.xyz/blog/agent-with…
Reineira
Two treasury agents. Same demo, same API, same promises.
One runs with a cap and capital committed to each task. The other has neither. They look identical until a run fails.
Then one has a payout path agreed upfront. The other has a dispute.
reineira.xyz
A human clicked approve.
That proves a button was pressed. It does not prove what they saw, what the agent was allowed to do, or who carries the loss.
A real control fixes the terms, records the decision, and defines the backing before the run.
Read more:
reineira.xyz/blog/approval-i…













