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Designing AI agents with clear boundaries
An AI agent is a product feature with permissions, failure modes and a user promise. Start with one bounded task, then make its actions visible, reviewable and easy to stop.
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Making your website clear to AI search
Search experiences are adding summaries and conversational answers, but the foundations remain familiar: useful pages, clear structure, accessible rendering and evidence that readers can verify.
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Product data for AI-assisted commerce
As shopping moves across search, social, messaging and AI tools, a reliable product catalogue becomes the foundation for accurate discovery and a less confusing path to purchase.
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RAG quality starts with knowledge design
Retrieval-augmented generation cannot make a confusing knowledge base dependable by itself. Better answers begin with clear source ownership, useful structure, access controls and a measured evaluation set.
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A practical security review for AI-generated code
Code assistants can speed up routine work, but generated code still needs the same threat modelling, review, testing and dependency controls as code written by hand.
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Evaluating AI features before production
A convincing demo is not an evaluation. Build a repeatable set of representative tasks, define acceptable failure, and measure changes before each model or prompt update reaches users.
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