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Reporting, analysis and field-tested techniques for making sense of a fast-moving AI industry.
AI news this week: five changes from 24–30 August 2026
A source-checked account of the AI releases and incidents from 24–30 August 2026 that carry practical consequences beyond launch-day headlines.
Cloudflare Kitesurf review: a lean browser for bounded agent work
A documentation and hands-on review of Cloudflare Kitesurf, including where its lightweight browser engine works, where Chromium remains safer and how to test it.
How to verify an AI tool announcement before you trust it
A practical seven-step method for separating a useful AI release from a polished demo, incomplete rollout or recycled capability.
Build a useful AI evaluation from twenty real cases
A practical method for creating a compact AI evaluation that measures quality, review time, cost and failure severity on work your organisation recognises.
MCP explained without the protocol soup
A practical explanation of what the Model Context Protocol connects, where permissions sit, and what teams still need to secure themselves.
What an AI benchmark can and cannot tell you
Learn how to read AI benchmark scores by checking the task, test conditions, contamination risk, grader and fit with the work you actually need done.
How to choose an AI model for the job
A vendor-neutral method for selecting an AI model by task quality, privacy, tool support, latency, cost and the failures your workflow can tolerate.
How to read AI industry news without getting lost in the hype
A practical framework for reading fast-moving AI coverage: identify the change, inspect the evidence, find the affected user and choose a proportionate next step.