ai
How to Test an AI Agent Before It Touches Production
Agent evals must score a sequence of actions, not one answer. The five test layers, pass^k reliability, graders and release gates by action risk.
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LLM Release Management: How to Ship Prompt and Model Changes Without Breaking Production
An LLM feature has four parts that change on their own. Release them as one versioned artifact behind an eval gate. The rules, tables and build order.
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Evals Are the Moat: Why AI Products Defend on Evaluation, Not Models
The durable moat in applied AI is not the model. It is the eval suite: the one asset competitors cannot rent, and the one due diligence should price.
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How to Evaluate LLM Outputs: Building an Evaluation Harness That Catches Real Failures
Most teams ship LLM features with no real evals, then find failures in production. A practical framework for an evaluation harness that scales.
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What Are AI Evals? The Test Sets That Decide Whether Your AI Ships
Most enterprise AI failures are eval failures, not model failures. Learn the three eval tiers, the golden-dataset problem, and an eval maturity model.
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