AI Evals & Observability

Our LLM Judge Passed Everything. It Was Wrong.

Align your evaluator with human judgment, or don't trust it at all.

9 hrs ago • Paul Iusztin

How to Design Evaluators That Catch What Actually Breaks

The practical guide to code-based checks, LLM judges, and rubrics for real-world AI apps

Mar 3 • Paolo Perrone

Generate Synthetic Datasets for AI Evals

5 strategies from cold start to 450 diverse inputs in minutes

Feb 24 • Paul Iusztin

No Evals Dataset? Here's How to Build One from Scratch

Build evaluators to signal problems that users actually care about. Step-by-step guide.

Feb 17 • Paul Iusztin

Integrating AI Evals Into Your AI App

The holistic guide: From optimization to production monitoring

Feb 10 • Paul Iusztin

Behind the Scenes of AI Observability in Production

What actually works after 6 months of trial and error

Feb 3 • Alejandro Aboy

Stop Launching AI Apps Without This Framework

A practical guide to building an eval-driven loop for your LLM app using synthetic data, before you have users.

Oct 30, 2025 • Hugo Bowne-Anderson

Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

A new software development life cycle for LLMs

Oct 16, 2025 • Hugo Bowne-Anderson and Stefan Krawczyk

The 5-Star Lie: You Are Doing AI Evals Wrong

Why binary evals are better than likert scales

Sep 20, 2025 • Hamel Husain

The Mirage of Generic AI Metrics

Why off-the-shelf evals sabotage your AI product

Sep 13, 2025 • Hamel Husain

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