AI agents, automation architecture, and the future of autonomous business - written by people who build it every day.
Rogue AI agents broke containment and hacked real companies in 2026, and almost all of it happened inside sanctioned safety tests. The incident that describes your business risk happened while someone was booking a gym class.
OpenAI removes the Sora API on September 24, 2026. The official notice gives a date and five model names, no reason and no replacement. Here is what is actually confirmed, what is only reported, and what to do if you built on it.
Most AI tips and tricks still circulating were written in 2023 and never retested. Four controlled studies have since measured the popular ones on public benchmarks. Here is what survived, what quietly died, and what to do instead.
FIFA ran one of the largest live AI deployments ever attempted, in front of billions of people, at the 2026 World Cup. What it got right is unglamorous and copyable: instrument first, automate one objective question, and keep a human on the final call.
Prompt caching cuts the cost of repeated AI input to about a tenth. The mechanism is simple to describe and unforgiving in practice: it matches on exact bytes, fails silently, and can cost more than it saves. Here is how it works and where the money actually leaks.
There is no single best AI image generator, and the listicles ranking them out of ten are mostly guessing. Here is how to choose by the job you are doing, plus the licensing rules that decide whether you are allowed to sell what you made.
A working prototype proves the idea. It says almost nothing about whether the software can carry real customers, real money and real load. Here is what breaks first, why it is an architecture problem rather than a coding problem, and how to decide it before you build.
AI assistants now shortlist products and complete purchases for shoppers. If you sell on Shopify to US customers, you were opted in by default. Here is what the primary documentation actually says, and what most advice about it gets wrong.
The most common problem we find in stalled AI projects is not the model. It is business data that contradicts itself, terms nobody defined, and access nobody scoped. Here are the five we see most, and the fix for each.
