Deterministic execution and replay-verifiable proof infrastructure.
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Updated
Aug 22, 2026 - Python
Deterministic execution and replay-verifiable proof infrastructure.
Research on verifiable lossless executable materialization across LLM host boundaries.
LLM- и медиаконвейер на TypeScript: Structured Outputs, версионируемые промпты, evals, управляемое исправление, TTS, Remotion и восстановление артефактов.
Vendor-neutral content integrity profile for AI artifacts: canonical JSON, hashes, signatures, schemas, and provenance links.
TypeScript CLI for tamper-evident artifact vaulting on Shelby/Aptos — cryptographic integrity for build artifacts
Bind human or AI review decisions to exact source, artifact, and policy hashes; detect stale approvals locally with a portable JSON receipt.
Phil Hills - AI systems architect building A2AC, verifiable agent coordination, and portable artifact integrity.
A2AC: verifiable coordination for AI agents with task routing, signed receipts, human approvals, and artifact integrity.
A2AC Workspace: durable AI agents with task routing, signed receipts, approvals, and VS Code/Antigravity coordination surfaces.
Origin-sealing primitive for Verifrax: binds artifact origin and provenance for deterministic trust chains.
Trust what you ship: download and verify browser extension artifacts (zip structure, manifest, metadata) and emit a deterministic JSON report for CI release gates.
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