Start here
- What is private AI evaluation? The pillar: what private, owned evaluation is, why it has to be invisible to your vendors, and how it works.
Evaluating and measuring your AI
- LLM evaluation How to evaluate a large language model: methods, a metrics table, LLM-as-a-judge, and RAG and agent evaluation.
- AI agent evaluation Scoring agents that plan and call tools: tool-call correctness, trajectory evaluation, reliability, and benchmarks.
- RAG evaluation Scoring retrieval-augmented systems: retrieval vs. generation metrics, the RAG triad, faithfulness, and golden datasets.
- LLM-as-a-judge Using one model to score another: judge types, prompt and rubric design, the biases that break it, and validation.
- How to measure AI ROI A CFO's framework for an AI ROI number you can defend, measured on your own data against an honest counterfactual.
- Data readiness for AI What AI-ready data means, the dimensions that matter, a checklist to assess yours, and how to make it evaluable.
- Golden datasets How to build the golden dataset that is your private benchmark: sourcing, sizing, labeling, versioning, and contamination.
The case for owned, private evaluation
- Vendor evals vs. owned evals Why the company selling you AI cannot be the one grading it, and what an owned evaluation changes.
- Goodhart's Law for AI evaluation Why a metric your vendor can see is a metric your vendor will game, and how keeping the target private fixes it.
- Are your AI eval criteria your IP? Your evaluation criteria encode how your business defines good work. Exposing them hands a competitor your playbook.
- When your AI vendor becomes your competitor The Figma and Anthropic lesson: why the party you evaluate should never see the standard you evaluate against.
- Why AI pilots fail MIT found 95% of enterprise AI pilots show no measurable P&L. The cause is rarely the model; it is measurement.
Choosing an approach
- Build vs. buy vs. own Build an evaluation capability in-house, buy a tool, or own one that a partner builds and transfers to you.
- AI evaluation tools, compared How the categories of AI evaluation tool differ, and where an owned, business-outcome capability fits.
- AI evaluation services A capability you own, not a dashboard you rent: how services, platforms, and build-operate-transfer differ.
Reference
- AI evaluation glossary Plain definitions for the terms behind private, owned AI evaluation: golden datasets, ground truth, and more.