Principles
Principles on Beyond Market Intelligence: a running collection of 3 stories we have gathered and hand-picked because they are worth your time. Every post here touches on principles in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around principles, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
Building Enterprise Agent Systems that People can Trust, Verify and Improve
Successfully deploying AI agents within enterprises demands a focus beyond initial promise. Our latest article, "Building Enterprise Agent Systems that People can Trust, Verify and Improve," outlines five critical principles distilled from experience building a system for a $100M+ company. These principles ensure agent reliability and usability in production environments. We rank these principles by impact, offering practical guidance for avoiding common pitfalls.
Language Model Hallucination Evaluation with GraphEval
Evaluating language model hallucinations remains a critical challenge. GraphEval offers a structured approach, and we’ve simulated its principles to illuminate its practical value. This exploration details the key stages of GraphEval, providing a clearer understanding of how it can identify and mitigate these inaccuracies. By visualizing the reasoning process, GraphEval empowers users to move beyond simple accuracy checks. For a deeper dive into related challenges, see "Most RAG Hallucinations Are Extraction Errors," which highlights common error patterns in retrieval-augmented generation.
Evals are the new PRD, Expedia’s AI chief tells VB Transform 2026
Expedia’s chief AI and data officer, Xavi Amatriain, is redefining product development, asserting that "evals are the new PRD." This shift prioritizes embedding security and design principles directly within evaluation processes, even before coding begins, leveraging AI-assisted code generation. Amatriain advocates for risk-calibrated governance layers, minimizing restrictive guardrails to maintain feedback loops and user agency, particularly emphasizing that users should retain the final click for transactions.