When you meet a new person in your field, one easy small talk question to ask them is: “if you were [insert your company name here], what would you do?” It gets you some free consulting, lets someone talk about themselves and things they know, and, you know, just gives you something to talk about that fills the silence.

UK government productivity not enhanced by Copilot AI pivot-to-ai.com/2025/09/1… ‘The main uses were “transcribing or summarising a meeting”, “writing an email”, and “summarising written communications”. The bot didn’t do so well on anything more complicated.'

I think “agent” may finally have a widely enough agreed upon definition to be useful jargon now - “[AI ‘agents’ are] Tools in a loop to achieve a goal… wiring up tools to an LLM in order to achieve goals using those tools in a bounded loop.” // Also, he’s not a fan of the “autonomous” vision, which feels right. // “This category of agent remains science fiction. If your agent strategy is to replace your human staff with some fuzzily defined AI system (most likely a system prompt and a collection of tools under the hood) you’re going to end up sorely disappointed."

Does anyone really want air hand-dryers around? I mean, they’re loud and they don’t work. You might as well have a sign that says “dry your hands off on your clothes."

When you don't know what you're doing, do a lot of it

This a good, correct framing of the AI project failure stuff. No one really knows what will work and what they’re doing yet. As we learned in the digital transformation craze of the 2010’s, this means failure == learning. And learning is what you need to do a lot of. More so, this kind of rapid learning, innovation, and sense making is exactly what a platform like Tanzu Platform with Cloud Foundry is excels at, and has a long, proven history of supporting.