Who watches the watcher in AI security
Trust in artificial intelligence does not depend on laboratory promises, but on internal controls and genuine auditing.
Blog
Notes on operations, automation, and applied AI. Video first, text here.
The AI bottleneck in Google Workspace
Integrating smart assistants into your documents doesn't save time if your team doesn't know what to validate. The real work shifts from drafting to reviewing.
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Affordable AI models in logistics: avoid hidden costs
Falling API pricing for language models makes supply chain automation a reality. However, a lack of data architecture can skyrocket your bill without delivering value.
The mistake of asking a text model to make decisions
Using language models to classify data or steer processes in your business is slow and risky. Operations do not need elaborate paragraphs; they need categorical, predictable answers.
How to audit your processes before splashing out on software
Installing software over a messy process only speeds up errors. Here is the pen-and-paper method to review your operations before paying for licences.
Why copying prompts no longer works for your business
Magical AI command lists have expired. For a business to gain real efficiencies, it needs operational judgement rather than text tricks.
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