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Tagged: AI products
4 articles on ai products.
•8 min read
Product Evals in Three Steps (That You'll Actually Do)
Most teams skip evals because the process feels overwhelming. The three steps that make eval-driven development achievable: label a small dataset, calibrate an LLM evaluator to human judgment, then iterate configs against the harness.
ProductRead more →
·7 min read
Stop Shipping Features: Why AI Products Need an Experiment Mindset
12 features shipped in a quarter. Zero meaningful metrics moved. AI products aren't software projects. The roadmap is a hypothesis board, not a delivery schedule, and treating it otherwise is expensive.
ProductRead more →
·7 min read
Every Failed AI Product Has the Same Root Cause
The same failure pattern shows up everywhere: teams shipping fast and iterating on vibes instead of building systematic evaluation. Evals aren't a nice-to-have. They're the core competency of any serious AI product team.
ProductRead more →
·8 min read
The Honest Guide to LLM Evals: What Actually Works
Most teams skip real evals and wonder why their AI products degrade in production. The framework that holds up: from 30-minute manual reviews to binary scoring to knowing when your eval suite is finally doing its job.
EngineeringRead more →