There's a third visitor on your website — and it's neither a human nor Google
AI agents acting on behalf of customers compare prices, fill in forms and book slots. How to decide whether they are your customers or traffic you block.
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Blog
Practical notes on adopting AI — from experience, not theory.
Your code can now be unpacked. So what actually protects the business?
AI has made recovering source code from compiled software cheap. Here's what a small company's real advantage rests on — and four things to check this week.
The detector says "AI". Now what?
Watermarks and AI detectors are now available to everyone — but they are not evidence. A practical guide to handling transparency in hiring, procurement and your own content.
Treat the model as a consumable: build so you can swap it over a weekend
Models get cheaper, disappear and get replaced faster than your software does. A practical guide to building systems where switching models takes days, not months.
If the answer is yes or no, stop asking a chatbot
Most real AI tasks in a small company don't need text at all — they need a label and a confidence score. Here's how to spot them and ship one workflow in a week.
Your API keys are now findable at industrial speed
In recent security tests, AI models broke into real company systems using leaked keys and weak passwords. Here is the hour of work that covers most of the risk.
The agent finished the job. Could you prove how, a month from now?
AI agents already work independently for long stretches, but rarely leave a trace. A practical guide to what to log and which outputs need a human signature.
Three AI tools your team can set up themselves this week
Not all AI needs a developer. Three things any team can adopt in a couple of days — and that give time back right away.
AI agent vs. workflow: which do you actually need
"Agent" is the buzzword of the year. But most of the time, when a company says "we want an AI agent", it actually needs a workflow — and that's good news.
When an AI project fails — and how to avoid it
Most failed AI projects don't fail because of the technology. They fail on a wrong assumption, before the first line of code.
Three places where AI saves a sales team time
Not “AI changes everything” — three concrete spots in the sales process where automation gives hours back right away.