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The article discusses the optimal structure for handoff files in multi-agent AI workflows, recommending separated elements like objectives, state, and constraints to prevent noise and version drift, while comparing Markdown and JSON for readability and machine validation.
The article discusses the challenges of accurately attributing costs to AI agents beyond LLM spend, including tools and models for measurement in multi-agent environments.