TrailpostKit
A single-line SDK captures every prompt, tool call, and decision an AI agent makes into a tamper-evident ledger you can replay deterministically and export as a signed attestation when a regulator or an incident review asks what the agent actually did.
An engineering team has agents making real decisions in production — calling tools, retrying, taking actions with downstream side effects — and no defensible record of what happened inside any given run. When something goes wrong, or when an auditor asks under a new AI-accountability law, the honest answer is a pile of scattered logs that can't prove the sequence wasn't edited after the fact. Open-source replay tools exist for debugging, but none produce the tamper-evidence, signed export, and retained record that an audit actually requires.
The engineering or platform owner accountable for AI agents running in production at a company already inside AI-accountability regulation — the person who has to answer 'what did the agent do, and can you prove the record is intact' to a compliance team, an auditor, or an incident review. The budget pull is the regulatory exposure itself, not a tooling line; this is a 'buy because we are now legally on the hook' purchase, not a 'nice telemetry' one.
Two hard enforcement deadlines — Colorado AI Act in June 2026 and EU AI Act in August 2026 — both confirmed across multiple sources, give the window an unusually sharp edge.
A single-line capture SDK plus automated signed attestation is a pure-software path with no operational drag — high leverage per unit of build.
Local single-vertical cluster with a couple of cross-references, though a number of inbound connections show real intra-bank pull toward this shape.
Two hard, multi-source-confirmed enforcement deadlines (Colorado AI Act and EU AI Act Article 12) put a real clock on the demand, and an $60M seed into the same thesis (Entire/Checkpoints) is funding-grade proof the category is forming now. The path is pure software — a single-line capture SDK plus automated signed attestation — with no operational or hardware drag. And the core tension is genuine: agent autonomy versus a regulatory demand for tamper-evident logging and human oversight, which neither pure observability nor pure compliance tooling resolves on its own.
The buyer is named only by company size (1000+ FTE under AI-act exposure) — the specific role and budget line that signs the check aren't anchored, which makes the go-to-market less crisp than the strongest ideas. Convergence is local rather than broad. And while observability incumbents are debugging-DNA products today, nothing structural stops one of them bolting on an attestation export, so the defensibility has to come from runtime breadth and the regulatory-evidence contract rather than from the feature itself.
Genesis doesn't invent in isolation — TrailpostKit shares architecture with, or powers, these ideas.
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