answering-sequence-design

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SOP: Design the optimal answering order for sub-questions

AI & Automation 331 stars 25 forks Updated today Apache-2.0

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# Answering Sequence Design Design the optimal answering order for sub-questions — based on dependency relationships and resource efficiency. ## HARD-GATE <HARD-GATE> Input must contain: sub-question list + dependency graph (from dependency-mapping). </HARD-GATE> ## Pipeline 1. **Precondition check**: is the dependency graph acyclic 2. **Topological sort**: determine the basic order based on dependency relationships 3. **Parallel grouping**: identify sub-questions that can proceed simultaneously 4. **Resource optimization**: adjust the order considering resource constraints 5. **Risk ordering**: prioritize high-risk/high-uncertainty items (fail fast) 6. **Final sequence**: determine the optimal sequence by integrating the above factors 7. **Output**: execution sequence + phased plan + parallelization opportunities ## Output Format ``` Phase 1 (parallel): [SQ1, SQ3] — no mutual dependencies Phase 2 (sequential): [SQ2] — depends on SQ1 Phase 3 (parallel): [SQ4, SQ5] — depend on SQ2 Rationale: [why this order is optimal] Risk note: [which sub-questions, if they fail, will affect subsequent ones] ``` </output>

Details

Author
yogsoth-ai
Repository
yogsoth-ai/de-anthropocentric-research-engine
Created
4 months ago
Last Updated
today
Language
HTML
License
Apache-2.0

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