A deep dive on the Context lever of prompt discipline — why the discipline is subtractive, and how the smallest context wins on cost and accuracy at once. The half test: could I remove half of this context and still get the right answer?
A Copilot Studio governance teardown. Five decisions that determine whether an agent ever leaves pilot, each with the trade-off shown: which environment it is born in, whose permissions its answers inherit, who can change it, how a change ships, and what happens when it is wrong.
A deep dive on the Intent lever of prompt discipline — why one plain sentence at the top of a prompt cuts cost, ends re-prompt loops, and beats a model upgrade.
Most AI conversations focus on models, licensing, and infrastructure. The biggest swings in cost and quality come from a layer almost no one is governing: the prompts themselves. A five-lever framework for designing enterprise AI prompts that hold up under cost, governance, and scale.
There’s a quiet moment that happens when you first build something with AI. You’ve tested it. It works. You know what it’s supposed to do. But then the moment arrives: it’s live. Real people will be affected. And you have to let it run. That pause? That hesitation? That’s the first sign that using AI…
Lately, I’ve caught myself finishing work late – not because I’m building new things or solving the exciting parts of a project, but because I’m catching up on admin. The follow-ups, the form checks, the reminders I never got to during the day. It’s the kind of work that creeps in slowly until you realise…
Every business has forms. Invoices. Leave applications. Signed agreements. And most of us still spend too much time reading, retyping, or reconciling them. But what if your system could read these forms and act on them — automatically? That’s exactly what Microsoft’s AI Hub makes possible with Form Processing models. Built for business users and…
We often hear about how AI can unlock huge value for businesses, but for many people, the hardest part is simply knowing where to start. The good news? If you’re working with Microsoft Power Platform, you don’t need to be a data scientist or machine learning engineer to build something impactful. With AI Hub, Microsoft…
We all want AI to solve big problems, drive smart decisions, and save us time. And it can—if your data is actually in shape. This might sound obvious, but it’s a point I see overlooked often: You can’t build useful AI on messy, inconsistent, or siloed data. You’ll end up with flashy tools that deliver…
Why data hygiene and digital groundwork matter more than shiny AI promises Let’s start with a truth bomb: AI is not a silver bullet. It won’t save your company from chaos, bad decisions, or messy spreadsheets titled “final_final_v3_REALthisTime.xlsx.” But here’s the good news: AI can be incredible—predicting customer churn, automating low-value tasks, and surfacing insights…