present state of agentic payments remind me of the time when 50% of the web3 projects were wallet.
rock solid standardisations w meta-tx, smart-contract wallets, security primitives, rethought custody
and what's built w wallets were experiences specific to different use-cases
Control brings freedom in payments — ironic?
> An out-of-scope disbursement. A payment to the wrong counterparty at 3 AM with no human in the loop.
In a high-stakes environment, uncertainty is not a feature. It's a blocker.
That's the problem we're solving at @railclaw
In an agentic ecosystem, without proper guardrails, putting agents into production business logic simply doesn’t work.
Missing piece here is constrained environments with clear business boundaries. This architecture enables policy governed execution kernel for financial actions.
a few days ago, @rajweb3_ and I explored an intent-driven architectural shift, amplified by agentic AI.
we realized payment rails are still rigid, if-else systems with hard-coded logic — so we proposed an architectural shift for payments.
OSS it will be!
Late night vibe code session @SFOxZo . Ideas flow like music each developer brings a new mix . Collaboration and life blend when you are locked in with Zo Founders. ~
Thanks @dvcoolster
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Had an awesome time at the @SFGiants game tonight with the @SFOxZo community! Loved hearing what everyone’s building and jamming on ideas around agents + @virtuals_io.
this weekend, diving into @SentientAGI—exploring how we can effectively funnel user-owned data into their framework to help scale models that can literally power a shared economy around data contributions w @turfGG_
open to suggestions—where should I start?
results ➡️ next weekend
@viswanathpramod@hstyagi@sandeepnailwal@0xsachi
Developers can now integrate onchain insurance directly into prediction markets.
@Kohinxyz SDK is live for Polygon Devs—making user protection a first-class feature. Build safer, stickier, more rewarding prediction apps with just a few lines of code.
@businessbarista These MCPs could be autonomous agents themselves also, they can back and forth to have a looped interaction with the user/llm(MCP Client) or other MCP server to reach a very meaningful context of the assigned task.
@businessbarista 1/2) I believe API and MCP can enable AI applications to interact with external systems, but How is the key difference? Both can be used to expose the data to the LLM, but MCP is a more intelligent way of bringing context to the LLM with richer data. ......
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