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One AI. Many hosts. One capability fabric.
A deterministic trust layer for trucking: detect what needs attention, request the right human response, and leave verifiable evidence—even offline.
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Measure AI inference on real Arm64, compare execution strategies, and choose optimizations from reproducible evidence—not assumptions.
Current, source-bound production research from screenplay scenes.
Autonomous GitHub maintenance with a narrow authority boundary.
A human-decision gate for Strands agents: capability is not authority
Tamper-evident code analysis: deterministic findings, optional AI interpretation, and offline-verifiable evidence.
Make document-AI decisions auditable: typed extraction, human review, tamper-evident evidence, and offline verification.
A WebMCP authority demo where discovering a tool never means blanket permission to use it.
Tamper-evident, offline-verifiable execution receipts with optional HMAC authentication.
