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Large Language ModelsAI Coding AssistantsZenn AI/MLPublished: Oct 23, 2026, 13:00 JST

AI agents build x402-gated Transaction Preflight API MVP, 52 tests pass

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AI agents build x402-gated Transaction Preflight API MVP, 52 tests pass

3 Key Points

  1. What happened

    A human CEO split work among five AI agents (Protocol, Preflight, Infra, Security, Growth) via GitHub Issues and Codex, producing a local MVP whose integration run passed 52 tests with 0 failed and 0 skipped.

  2. Why it matters

    The approach suggests that separating responsibilities and enforcing interfaces — rather than relying on one all-capable AI — may be a workable way to ship software, though mainnet settlement and real-money charging have not been tested, so production readiness remains unproven.

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Context & Analysis

The experiment deliberately set a narrow business goal: earn the first dollar from a third-party user within seven days, excluding self-payments. From 20 Web3 business ideas, the team selected a Transaction Preflight API based on implementation feasibility, distance to first revenue, on-chain necessity, and differentiation. The architecture reflects a software organization rather than a single chatbot: a human CEO sets direction and holds final approval for production deploys and fund movements, ChatGPT handles market research and spec work, GitHub Issues become units of work, and five Codex workers execute in parallel branches and pull requests. A shared AGENTS.md file defines common KPIs, prohibitions, interfaces, and PR rules. The Security agent reviewed from an attacker's perspective independently of the implementers, surfacing issues that a purely generative workflow might miss. The integration test result of 52 passed is a local-fixture milestone, not a production green light; real-money billing and mainnet settlement have not been exercised. The next phase focuses on fixing production blockers, settling billing semantics, and running testnet payments before any human-approved mainnet release.

FAQ
What does the Transaction Preflight API actually do?
It simulates an EVM transaction before an AI agent sends it, returning status, revert reason, gas information, and warnings in a machine-readable format.
How would the API charge users?
The plan is pay-per-request using x402 with USDC, where unpaid requests are challenged with a 402 response and the protected response is returned only after settlement succeeds.
What did the Security agent find?
It identified production blockers, including a possible resource-abuse path where costly simulations could be consumed in parallel before settlement, and billing semantics that could charge users even when no value was returned due to an RPC failure.
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