Unverified50% confidenceSolutionExact time
Writing prompts as product requirements documents, specifying input formats, output fields, follow-up questions and conditions for refusing to answer, can improve an Agent's determinism.
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50%
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Long-term
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10/22/2026
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Related Claims
UnverifiedWhen writing high-quality Agent prompts, in addition to describing the creative objective, one should also include clear operational boundaries, file management specifications, and honesty requirements.77% similarUnverifiedPractical prompt engineering techniques in real products include system prompt layering, dynamic prompt injection, automatic selection of Few-shot examples, and using global constraint files such as AGENTS.md to define Agent behavior boundaries.74% similarUnverifiedAgent-friendly tools generally need to satisfy three conditions: the input format is plain text or structured data, the output results are deterministic and predictable, and the call chain can be orchestrated without human supervision.73% similarUnverifiedAgents should first go live in suggestion-only mode to generate drafts, with reasons for reviewers' edits or rejections recorded, before gradually automating low-risk requests.73% similarUnverifiedWhat an Agent needs is semantic action descriptions (such as "query order status" and "initiate a return"), not a list of low-level functions or endpoints.72% similar
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