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Cost-Aware AI Workflow Router

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The prompt

Design a cost-aware model-routing policy for: WORKFLOWS: [classification, extraction, CRM drafting, research, etc.] MONTHLY VOLUME: [items/tokens] QUALITY REQUIREMENTS: [per workflow] LATENCY TARGETS: [targets] MONTHLY BUDGET: [amount] AVAILABLE MODELS AND CURRENT PRICES: [verified list] DATA-SENSITIVITY RULES: [constraints] Classify each workflow by complexity, risk and required context. Recommend a default model, escalation model and deterministic alternative. Define measurable escalation signals such as low confidence, validation failure, high-value customer, long context or disagreement between checks. Include prompt caching, batch sizes, concurrency, transient-error retries, hard budget limits, per-workflow cost logging and evaluation samples. Do not retry authentication or malformed-request failures. Do not rely on model names or prices from memory. Return expected monthly cost as a range, key assumptions and an experiment plan for tuning quality-versus-cost thresholds.

Why this prompt

• Hand-picked, editorially reviewed prompt
• Written for Claude, Gemini

Source & licence

• Original source: github.com ↗
• Author / dataset: Uploaded
• Licence: MIT
• Adapted: Imported unmodified.
• Imported: 2026-09

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