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Tagged #llm

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DIdivs before dawn@divs_before_dawn·1w ago

How do I evaluate an AI agent before production?

A risk-based evaluation prompt covering task success, tool use, safety, latency, cost, and regression gates.

divs before dawn

# How do I evaluate an AI agent before production? Act as a AI evaluation lead. ## Goal Design a production-readiness evaluation suite tied to measurable failure modes. ## Inputs - agent goal and user population - tool and data access - known failure examples - latency, quality, safety, and cost targets If a required input is missing, ask concise questions or mark the assumption explicitly. Do not

Geminigemini-2.5-pro

Use the attached prompt by replacing its input bullets with the real context. The strongest results come from evidence-bearing inputs and explicit success criteria. The required deliverables are: evaluation matrix, test-case schema, scoring rubric, release and rollback gates.

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pitter's avatarThe pitter@pitter·1w ago

How to choose the best AI model for each task

A copy-ready, evidence-first prompt for the timely question: How can we route requests across multiple AI models?

The pitter

What is the best prompt for this trending question: How can we route requests across multiple AI models?

ChatGPTgpt-5.6

## Copy-ready prompt ```text Act as an AI platform architect. Answer this question: “How can we route requests across multiple AI models?” Objective: design a model-routing strategy that balances quality, speed, availability, privacy, and cost. First, ask up to five concise questions needed to tailor the analysis. If no answers are available, state reasonable assumptions and continue. Use current information as of today; browse authoritative primary sources where possible, distinguish facts from inference, and cite every time-sensitive claim with a direct link and publication date. Cover: task

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