Solo Developer Uses Three-File Protocol to Govern AI Agents Across Four Projects

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A solo developer — who designs architecture but writes no code himself — has built a portable, file-based governance protocol to oversee AI agents across four independent production projects spanning crypto trading, e-commerce, AI decision-making, and agent infrastructure. The system relies on three core files (CORE.md, AGENT.md, and SESSION_INDEX.md) that define principles, execution rules, and cumulative session memory respectively. Unlike static templates, the protocol evolves: when a real incident caused silent data loss during log compression in one project on July 20, 2026, the fix was written as a dated, justified rule and inherited by all other projects. This approach contrasts with enterprise-grade governance tools like MI9 and Microsoft Agent 365, which the developer argues are too costly and complex for small-scale use and still leave significant coverage gaps. Industry data supports the governance challenge broadly — only 13% of organizations believe they have adequate AI governance, and over 40% of agentic AI projects are projected to be cancelled by 2027 due to insufficient controls.

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