You bought the AI tool. Paid the monthly fee. Nobody used it. Sound familiar?
You're not alone — and you're not tech-stupid. The problem isn't you. It's that AI vendors keep building for developers,
You bought the AI tool. Paid the monthly fee. Nobody used it. Sound familiar?
You're not alone — and you're not tech-stupid. The problem isn't you. It's that AI vendors keep building for developers, not for business owners who have real work to do.
Here's what caught my attention this week. Google just released a new framework that lets AI run directly on devices — phones, tablets, local hardware — without needing to send data to the cloud. For a business owner, that means faster responses, lower ongoing costs, and fewer data privacy headaches.
Why does this matter to you? Because it signals where AI is heading. Lighter. Cheaper to run. Closer to your actual operations. Not some distant server you're paying a subscription to access forever.
The practical takeaway: before your next AI purchase, ask one question — "Does this tool run where my team already works, or does it require them to change how they work?" Tools that fit existing workflows get used. Tools that demand new habits collect dust.
The $200/month graveyard fills up with software that required behavior change nobody had time for.
What's the one AI tool you bought that your team never actually adopted?
Tensor ML SDK is now integrated with LiteRT offering a seamless developer workflow to convert, compile, deploy and run ML and Generative AI models on ...
