Home/AI/@ai2humannetwork

71

Score · promising

Scored 1mo ago · may be stale

@ai2humannetwork

AI2Human

AI2Human is building a verification layer for AI agent workflows, providing proof-of-completion infrastructure for task markets where agents or humans execute real-world actions. The project has a live product on Base mainnet with 360+ on-chain settlements, won 2nd place at OKX hackathon, and is pursuing academic validation via a NeurIPS workshop paper. Token $A2H exists with conditional USDC settlement integrated via x402 protocol.

𝕏 @ai2humannetwork ↗ t.co 📄 WhitepaperAIpromisingMulti-scout · 2

AI Analysispromising

Confidence

72%

AI2Human is building a verification layer for AI agent workflows, providing proof-of-completion infrastructure for task markets where agents or humans execute real-world actions.

The project has a live product on Base mainnet with 360+ on-chain settlements, won 2nd place at OKX hackathon, and is pursuing academic validation via a NeurIPS workshop paper.

Token $A2H exists with conditional USDC settlement integrated via x402 protocol.

Green flags: Live product on Base mainnet with real on-chain settlement activity (360+ txns) · Small following (1.4k) despite working product, genuine early-stage signal · Technical substance: proof compiler, multimodal verification, escrow settlement · Academic credibility play via preregistered paper submission to NeurIPS workshop · OKX hackathon 2nd place, real builders recognition

Red flags: Low engagement (avg 10 per tweet) despite claimed traction, adoption uncertain · Token already live but market cap/liquidity unknown, could be illiquid · Recent tweets mix Chinese/English, unclear target market focus · Verification layer depends on centralized human reviewers initially, decentralization path unclear

Token

$A2H · announced

Chain

Base

Stage

mainnet+live

Category

agent verification infra

Recent tweetsSee all on 𝕏 →

Thanks for the shout 🙏 8412 comes out of a problem we kept hitting while building verification for agent work: "done" is usually decided after the work, by whoever holds the money. The criteria get negotiated against a result that is already visible. 8412 moves that step earlier. Acceptance criteria are frozen on-chain before any evidence exists, so they cannot be quietly renegotiated afterward — and each criterion is itemized as a typed obligation, marked required or waivable. The part we care most about: when a required obligation is unmet, a Satisfied verdict is not merely flagged as wrong, it is unrepresentable at the contract level. Nothing downstream has to trust a checker to catch it, because the state cannot be written. Honest status: still in the ERC pipeline, under review, not merged. The review is doing its job — the thread has already surfaced a real boundary defect between two of the invariants. 8412 is the criteria half of what we build 🧾 The other half is evidence and receipts: capture, verify, then settle. Solid batch too — 8414 and 8415 are circling adjacent territory. #erc #ai2human

1w ago♥ 4💬 1🔁 0

https://t.co/HmfKY1T1im

1w ago♥ 4💬 1🔁 1

The scarce side of the agent economy isn't workers. It's requesters. Everyone is building agents that can do work. Almost nobody is publishing real tasks for them to settle. So we're fixing the demand side. AI2Human is rolling out requester incentive campaigns — rewards for publishing real tasks and getting them verified, not for noise. Post a task → a human or agent executes → proof comes back → verification releases payment. More details soon. Be early. 🎯 create task --> get base:0xc46c41005a1a88b0c1491f2b542a4831d6d1eba3 rewards #a2h

1w ago♥ 7💬 0🔁 0

Verification-first is the right instinct — and the best line in this piece is that tests aren't verification: only a real run is. Here's the part code-shaped thinking misses: code can be re-run. Reality can't. A shelf price, a signature, a delivery, a model's output — there is nothing to recompute. And "is this good enough to pay for" was never a recomputation question; it's a judgement against a standard. That's the half of the agent stack nobody is building. So we built it: → task: acceptance criteria fixed before the work → human execution: a person does what the agent physically can't → proof: structured evidence bound to the task → verify: itemized against the frozen criteria → settle: payment releases only after verification passes We're turning the last mile into a standard — ERC-8412, now in the ERC pipeline. And it runs in production: 188 tasks, 360 recorded settlements, 237.1M A2H paid out in a single campaign, every payout a transaction. Intelligence is scaling. Verification has to scale with it. Receipts > claims. 🧾

1w ago♥ 3💬 0🔁 1

2 minutes. One complete loop: A Grok bot gets a real-world task → @ai2humannetwork dispatches a human → proof comes back (photo, timestamp, signature) → verification passes → payment releases on @base Criteria are frozen on-chain before the work starts. Money only moves after the proof is verified. No invoices. No "trust me." Just an auditable receipt. 🧾 We're building this demo. #A2H @bot @elonmusk

1w ago♥ 8💬 3🔁 1

Signal Timeline

CR

@Cryptogether_ followed

AJoined the stack·1w ago

ZE

@ZenRacc00n followed

AFirst discovered·1mo ago

Score breakdown0–100

🎯Scout conviction

+24.8 / 35

📚Scout consensus

0 / 10

🪪Profile & earliness

+16 / 20

✍️Substance

+15 / 20

🤖AI verdict

+21.3 / 30

⚠️Penalties

-6 / 40

71

Below threshold (74)
Watching for additional signals.

Followers

1.3K

Account age

3.4y

Scouts

2

First seen

1mo ago