Methods note demonstrates a six-stage collaboration protocol for AI agent workflows, indicating a framework to prevent context loss and bridge the yield gap across work sessions.
SYNTAX is a human-AI collaboration protocol for carrying context across work sessions and converting AI-assisted activity into durable, inspectable assets. This methods note describes a six-stage operational loop: session log, memory, consolidation, mechanical enforcement, cross-model adversarial review, and standardized close. It separates common engineering practices from the SYNTAX-specific mechanisms that connect them. The note is a design and reproducibility description, not a controlled productivity study. Its central failure model is the Yield gap: a session can produce a plausible answer while leaving no reusable artifact, verified decision, or system change for the next session.
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Jeff Hopp (2026) studied this question.
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