Everyday AI: A Team Enablement Series
A running series of monthly sessions teaching my instructional-design team to use AI in real work — building from first prompts to autonomous workflow agents, one month at a time.
Adoption happens one habit at a time
One-off AI training doesn't stick. People watch a demo, feel impressed, and go back to working the way they always have. So instead of a single workshop, I built a recurring rhythm — short, practical sessions every couple of months, each one building on the last.
Every session is hands-on and grounded in the actual work my team does: writing, content creation, storyboarding, building courses. The goal isn't to teach AI in the abstract — it's to make AI a normal, daily part of how we get our jobs done.
The teaching approach
Start where they are
Each session meets the team at its current comfort level and nudges one step further — no jargon, no overwhelm.
Always hands-on
We use real ID tasks and real tools, so people leave with something they can apply the same afternoon.
Build a shared toolkit
Prompts, agents and GPTs from each session become shared team assets — the series compounds over time.
From first prompts to autonomous agents
Each session has its own recap post with what we covered and the key takeaways. New sessions are added as the series continues.
Prompting Basics
The foundation — how to talk to AI tools, structure a prompt, and iterate toward a useful answer.
Read the recap ↗Copilot Basics for ID & Content Creation
Putting Microsoft Copilot to work on instructional-design tasks — drafting, summarizing and content creation.
Read the recap ↗AI in Video Tools
Hands-on with AI video and avatar tools — Synthesia, Descript, HeyGen and Colossyan — for fast, scalable learning video.
Read the recap ↗Tools at Our Disposal
A tour of the AI tools available to us — ChatGPT, Copilot, MyAI and AIESA — and when to reach for each.
Read the recap ↗Building a Prompt Database
Turning good one-off prompts into a reusable, shared library the whole team can draw from.
Read the recap ↗Building Copilot Agents
Moving from prompts to purpose-built Copilot agents that handle repeatable tasks for the team.
Read the recap ↗Custom GPTs & Sharing
Creating custom GPTs for specific workflows — and the sharing capabilities that let the team reuse them.
Read the recap ↗Scheduling GPTs
Automating recurring work — setting GPTs to run on a schedule so they deliver without being asked.
Read the recap ↗Copilot Workflow Agents
The next frontier — agents that take over your desktop and carry out multi-step workflows end to end.
Preview the session ↗A team that grew up with AI
Across the series, the team moved from cautious first prompts to building their own agents and custom GPTs — and AI shifted from novelty to a normal part of the daily workflow.
Just as importantly, the series created a shared language and a growing library of reusable assets, so each new capability spreads across the team instead of living in one person's head.
Part of a broader AI initiative
These sessions are the enablement side of the AI work I lead — which also produced our AI-powered support-simulation platform.