I’ve been doing a lot of work lately reviewing Microsoft 365 learning programmes at work, and experiencing learning Claude for my own curiosity. Videos, activities, the whole journey from “what even is AI or LLM” through to “here’s how to build a Skill or work with Agents.” And while mapping out the activities this week,… Read More Why I care about learning theory when designing M365 adoption
I was at the Digital Workplace Conference in Melbourne last week and kept hearing people talk about Skills in Copilot Cowork. It stopped me in my tracks. Not because the concept was unfamiliar, but because I’ve spent the last couple of months exploring and building Skills in Claude. And suddenly the same word was being… Read More Same word. Two very different things. My confusion with ‘Skills’ in AI
Last week was a big one.I moved through analysis, content, ideation… the kind of work that would normally take me days of circling, drafting, second guessing. By Friday I realised I’d pushed through what would usually be a week, or even a month. And instead of feeling proud, I felt… off. Not tired in a… Read More AI overwhelm: when the pace feels… off
Last month I wrote about my first experiences with Claude. I ended that post promising month two would get more interesting. Oh, it did. This month I set myself a comparison activity. I’d already built a personal coaching companion as a Skill in Claude, just as a side project. A test case. Now I wanted… Read More Month two with Claude (and Copilot): the day I built a coach as a Copilot Agent
I co-facilitated a session recently introducing Copilot in which we discussed writing better prompts, along with the value of sticking to a framework such as the GCES framework — Goal, Context, Expectations, Source. It’s a structure I use constantly. It’s simple, it’s quick, and it gets you usable output in a hurry. But a few… Read More Better prompts, better results: why I’m using two frameworks instead of one
A month ago, I was given access to Claude at work. To help prepare for further roll out, client work, and grow my understanding of AI in general, I made a deliberate decision: I was going to use Claude properly. Not just dabble. Not just throw it the occasional prompt and see what came back.… Read More Month 1 with Claude: From Curious Click to Skill Builder
Organisations aren’t short on technology. We have collaboration platforms, analytics tools, automation, AI copilots, and more “productivity” features than most people know what to do with. Yet despite the constant investment, many teams still default to old habits, shadow systems, or partial use of the tools designed to help them work better. This isn’t a… Read More Why Employee Engagement Is the Missing Link in Technology Adoption
Support tool or slippery slope? Lately, I’ve noticed more conversations (and questions) about using AI for quick answers, brainstorming, and following ideas at speed, particularly from people with ADHD. I also recently saw some stats about the higher benefit of AI for neurodivergent folk beyond that for neurotypical.On the surface, it makes a lot of… Read More AI, Instant Answers, and the ADHD Brain
The Technology Acceptance Model (TAM) can help to figure out why people say “yes” or “no” to new tech at work. It all comes down to two big questions:“Will this actually help me do my job better?” (that’s perceived usefulness) and“Is this going to be easy to use, or is it just another headache?” (that’s… Read More Putting TAM Into Action: Practical Strategies for Driving Technology Adoption
The Technology Acceptance Model, or TAM, is basically a way to figure out why people decide to use (or not use) new technology at work. It was created back in 1989 by Davis, and it boils down to two big questions: “Will this help me do my job better?” (that’s perceived usefulness) and “Is this… Read More What is the Technology Acceptance Model (TAM) and how could it help you?