Showing 1–12 of 24 articles tagged AI Architecture

AI search is hybrid retrieval, grounded answers, evidence UX, and action. Build the answer contract before choosing vendors.

An agent-ready platform works for humans and browser agents: stable actions, permissions, observability, and UX that survives automation.

Voice AI guardrails for Australia: privacy, call recording, offshore storage, tool gates, cost controls, and build-vs-buy checks.

Digital agents were the first act. Physical AI is the next product frontier: robots, sensors, factories, vehicles, and supply chains.

AI software quality is a production discipline. Code got cheap, but review, evals, rollback, and observability did not.

Energy, chips, systems, models, applications. Every layer matters. Only one pays compounding returns. A framework for picking yours.

Current AI chat security best practices: prompt injection testing, external guardrails, action boundaries, and defence in depth.

Chat is the wrong interface for AI agents in professional software work. A well-written issue is a better agent instruction than any prompt.

A 97% attack detection rate sounds fine until an agentic system has tool access, private data, and a path to action. Then it is a breach rate.

When AI writes the code, green CI isn't enough. The new discipline is understanding and defending the choices the model made — not just the ones you made.

The 'never rewrite' doctrine was based on rewrite cost. AI has collapsed that cost to days. Pre-launch rewrites are now a product strategy, not a failure.

AI coding is the sixth abstraction layer in 80 years. Every previous layer was dismissed as not real programming by the practitioners of the one below.