Logesh·2d agoContext Engineering for AI Agents: What Should the Model Know at Each Step?Agentic AI Engineering Series — Article 08/25
Ka Ling Wu·Oct 29What the Research Actually Says About Semantic Layers and Text-to-SQL AccuracySeven studies, what each one measured, what none of them tested, and the numbers that keep getting misquoted.A response icon3A response icon3
InTowards Data EngineeringbyTHE BRICK LEARNING·Oct 2701/101 — From Data to Decisions: Introducing the Decision FabricWhy enterprises need an architecture that turns data into trusted actions
Ka Ling Wu·Oct 22Context Engineering Statistics & Insights in 2026The research behind context engineering this year: what bigger context windows didn’t fix, where agents spend their tokens, and where…
Ka Ling Wu·Oct 15Before You Buy an AI Analytics Tool, Ask What the Model Actually SeesEvery demo looks the same. How a vendor answers this question, and its follow-ups, tells you whether the tool works from your definitions…
Ka Ling Wu·Oct 12Why Row-Level Security Isn’t Enough for AI AnalyticsAI analytics agents in multi-tenant SaaS need per-tenant context and isolation below the model.
Ka Ling Wu·Oct 8The Best Fix for a Misbehaving AI Agent Is Usually Deleting SomethingMost “hallucinations” I find in agent transcripts are context bugs, and adding another instruction tends to make them worse.A response icon1A response icon1
Dr. Robert Hauser·Oct 1Same Model. Different Context.How an A/B experiment led me to the idea of an Enterprise Identity
Ka Ling Wu·Aug 31Context Engineering Is Different When the Context Is Your Customer’s DataThe prompt engineering rebrand makes sense for chatbots and research agents. For AI that answers questions about live business data, the…
