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“The new PRD are the evals,” Xavi Amatriain, Expedia Group’s first chief AI and data officer, told the VB Transform 2026 audience last week in Menlo Park. “So basically, you encode...
AI agent evaluation covers the frameworks, metrics, and benchmarks teams use to measure task completion, tool accuracy, and safety adherence before production.
The AI Technology Evaluation will provide exclusive data to grade models’ performance in select areas.
1. What are AI evaluations, and why are they important?Continue reading on Medium »
A practical guide to LLM evaluation: which metrics matter, how the methods compare, how to build an eval set, and how to gate releases on evals inside CI.
Enterprise AI teams are giving agents more freedom at the same moment their confidence in automated testing is collapsing.Half of enterprises have deployed an AI agent or LLM featu...
Across 157 enterprises, organizations are granting AI agents more autonomy while trusting the evaluations meant to gate that autonomy less. Half have already shipped an agent that...
Few companies face higher stakes when deploying AI than Waymo, the self-driving car company under Alphabet that spun out of Google. Its models do not merely generate text or automa...
AI agent evaluation needs more than pass/fail. Learn the four dimensions, task success, conversation quality, safety, and resilience, that decide readiness.
Building Production-Grade LLM Evaluation Pipelines: From Vibes to Metrics How we replaced "looks good to me" with automated evaluation catching 92% of hallucinations before deplo...
Compare the 9 best AI agent evaluation tools and platforms for 2026, from open-source frameworks to autonomous agent testing, with features and the right fit.
There was a time when evaluating an AI system meant running a test set, computing an accuracy score, and calling it done. That was good enough when models answered questions in iso...
Production-grade AI reliability requires more than uptime and latency. A layered eval system helps teams detect hallucinations, RAG failures and quality regressions before customer...
Choosing an AI IDE in 2026? Compare developer experience, agentic workflows, governance, and cost controls before making a decision.
The Economist scored 25 frontier AI models on the World Values Survey. Lab of origin is a weaker predictor than training & alignment choices : Gemini & Qwen are neighbors,...
What happens once evaluation becomes just another prompt to gameContinue reading on Medium »
A QA Engineer’s Guide to Testing GenAI Applications Testing software is no longer enough. In the age of generative AI, quality engineers must learn to test intelligence itself. E...
Building a shortlist for an AI SOC evaluation can be tough. SIEM, SOAR, and pureplay AI SOC vendors are all saying the same thing. But behind the identical label sit very different...
AI search is no longer a niche experiment. According to HubSpot’s own research, 42% of buyers now use AI search as part of their evaluation process — and it’s the top predictor of...
AI code assistants for testing, compared across 11 tools: what each emits, which run your suite, where they fail on end-to-end, and how to verify the output.
TL;DR: Best AI tools for developers in 2026 ACCELQ is one of the highest-rated AI tools for developers, earning a 4.8/5 rating for codeless test automation, AI test generation, s...
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