Tagged: AI products
4 articles on ai products.
Product Evals in Three Steps (That You'll Actually Do)
Most teams skip evals because the process feels overwhelming. Here is the three-step framework that makes eval-driven development achievable: label a small dataset, calibrate an LLM evaluator to human judgment, then iterate configs against the harness. No excuses left.
Stop Shipping Features: Why AI Products Need an Experiment Mindset
After shipping 12 features in a quarter and moving zero meaningful metrics, I learned the hard way that AI products are not software projects. The roadmap is a hypothesis board, not a delivery schedule.
Every Failed AI Product Has the Same Root Cause
After 12 years in ML and AI, I keep seeing the same failure pattern: teams that ship fast and iterate on vibes instead of building systematic evaluation systems. Evals are not a nice-to-have — they are the core competency of any serious AI product team.
The Honest Guide to LLM Evals: What Actually Works
Most teams skip real evals and wonder why their AI products degrade in production. Here is the framework that actually holds up — from 30-minute manual reviews to binary scoring to knowing when your eval suite is finally doing its job.