Research, guides, and frameworks for agent reliability.
We publish what we learn from evaluating agents in production. Original research, practical guides, and the reading list we send before every walkthrough.
The Executive Guide To AI Agent Reliability
Moving from vibes-based demos to production with continuous evaluation and self-optimizing agents.
- Why pilots fail to go live and how to fix the demo-to-production gap
- The four structural pillars required before leadership should sign off
- What to require from an evaluation platform when compliance and data governance matter
- The Halios two-week assessment model for moving past pilot phase
Email gated web version and PDF. Built for decision-makers who need release evidence, not generalized AI messaging.
Halios Labs case study
How we found and fixed real failures in a furniture sales assistant using Halios
A detailed look at the Lynon benchmark, the regression that almost shipped, and why structured evaluation beats vibe-based QA.
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Long-form posts, engineering notes, and case studies.
Browse the BlogRecommended reading
Halios Labs
Lynon Optimization Story
A concrete case study on how prompt regressions were surfaced, evaluated, and corrected with structured evaluation.
Hamel Husain
Your AI Product Needs Evals
A practical argument for why systematic evaluation becomes the center of an AI product team's workflow.
Anthropic Engineering
Demystifying Evals for AI Agents
The definitive guide to agent evaluation strategy and why useful agents are hard to evaluate.
Eugene Yan
Evaluating the Effectiveness of LLM-Evaluators
A rigorous look at whether LLM-as-a-judge evaluators actually work, and when they break down.
McKinsey
The State of AI in 2025
The state of AI in 2025: Agents, innovation, and transformation
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