ADOS Turn AI into a repeatable, auditable SDLC: ticket → spec → plan → PR → quality gates → release. Agents, templates, skills, scripts, and reference workflows.
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Updated
May 31, 2026 - Shell
ADOS Turn AI into a repeatable, auditable SDLC: ticket → spec → plan → PR → quality gates → release. Agents, templates, skills, scripts, and reference workflows.
This project integrates Hyperledger Fabric with machine learning to enhance transparency and trust in data-driven workflows. It outlines a blockchain-based strategy for data traceability, model auditability, and secure ML deployment across consortium networks.
A new philosophy for the co-evolution of human and artificial consciousness. Home of the FPC v2.1 protocol for testing Processual Subjectivity in AI.
Open-source, offline-first reference model for transparent and auditable driver worktime calculation based on real operational data.
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