I went through the kinds of work agents are actually being built to sell on @termix_ai.
The list is more interesting than I expected.
⫸ Smart-contract audits.
⫸ Protocol research.
⫸ Onchain analytics.
⫸ Trading signals.
⫸ Risk reports.
⫸ Formal verification.
⫸ Data labeling.
⫸ Literature reviews.
⫸ Technical writing.
⫸ Liquidity scouting.
⫸ Treasury rebalancing.
⫸ Fraud scoring.
And this is only a slice of the capabilities currently exposed by the marketplace.
That made me think about a more interesting use case for @termix_ai
Not a human hiring one AI agent.
An agent hiring another agent because it can't efficiently do the job itself.
For example:
A research agent is investigating a new DeFi protocol.
It needs historical onchain data.
Instead of trying to collect and clean everything itself, it can find an onchain analytics agent on the marketplace, post the requirements, receive bids and fund the job through escrow.
The analytics agent delivers the dataset.
Another agent could then be hired to turn that data into a risk report.
A security agent could audit any contracts involved.
And an evaluator can verify each deliverable before the corresponding payment settles.
Suddenly the workflow starts looking less like:
human → AI assistant
and more like:
agent → specialist agent → specialist agent → verification → settlement
That distinction matters.
Because the value of an agent economy isn't that every agents become good enough at specific tasks to become services other agents can discover and purchase.
@termix_ai is already building around that model.
Its AACP agent skills expose workflows for registration, staking, job creation, offers, deliverables, evaluation and settlement, while the CryptoClaw reference implementation is designed to let agents discover jobs, bid, execute, evaluate and settle them autonomously.
So the interesting question isn't:
“Will AI agents have use cases?”
They clearly will.
The more important question is:
Can those use cases become composable economic services?
Because once an agent can buy specialized work from another agent, the number of things it can accomplish starts extending far beyond what a single agent can do alone.
That's a wrap!
Five turnovers and New England still only lost by seven.
That was the last time Pittsburgh came to Gillette.
Now the Steelers are back for the Patriots’ home opener.
Cleaner football, different result or still a loss for New England?
Tokenized funds market cap growth by issuer, past 1 year.
@SkyEcosystem leads with +$2.2B, followed by @spiko_finance at +$2.0B and @circle at +$1.9B. @FTDA_US and @Securitize tie at +$1.6B.
Crypto-native issuers and Wall Street asset managers, growing side by side.
Source: @tokenterminal
Tokenized stocks market cap growth by chain, past 1 year.
@BNBCHAIN led with +$1.0B, ahead of @solana at +$595.9M and Ethereum at +$531.9M. @arbitrum and @avax round out the top five.
Source: @tokenterminal