The Divide Between Control Layer and Direction Layer: OpenProse, Natural-Language Agent Harnesses, and Attractor-Guided Engineering
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Related projects: OpenProse ( @openprose/reactor ), NLAHs (Natural-Language Agent Harnesses), AGE Template , nop-chaos-flux (a production-grade implementation of AGE) AGE methodology series: Attractor Before Harness: A Methodology for Large-Scale AI Development , From Spec-Driven Development to AGE Starting Point OpenProse, Natural-Language Agent Harnesses (NLAHs), and Attractor-Guided Engineering (AGE) all try to solve the same problem: what do you do when the output of an AI agent is…
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- Headline: The Divide Between Control Layer and Direction Layer: OpenProse, Natural-Language Agent Harnesses, and Attractor-Guided Engineering
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Prompt and agent patterns spread fast; staying current saves time and token cost. DEV — Prompt Engineering reports that the Divide Between Control Layer and Direction Layer: OpenProse, Natural-Language Agent Harnesses, and Attractor-Guided Engineering
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