Staff shopping.


​
I’m fairly certain I don’t treat AI the way most people do. But then again—what else is new?
​Without a background in formal technology or prompt engineering, I’ve had to muddle through on my own, trial-and-error style, with my fingers firmly crossed. But as I explored these tools, one thing became clear very quickly: expecting a single AI to do everything—from writing and image generation to acting as both teacher and student—is a recipe for mediocre results.
​So, I changed my strategy. Instead of looking for an all-in-one platform, I started shopping around to build a dedicated digital studio team, assigning specific roles to whichever AI handles that task best.
​The Roster
​Copilot (The Creative Confidant): My go-to sounding board. Copilot excels as a conversational partner for brainstorming raw project ideas, clarifying intentions, and talking through creative directions before execution.
​Gemini (The Technical Lead & Fact-Checker): Brilliant with technical details, context, and cross-referencing. When I need complex information vetted or structural logic sorted out, Gemini takes charge.
​Meta AI (The Artistic Director): The missing piece that made everything click. Today, I officially promoted Meta AI to Artistic Director. Its visual capabilities bring immediate life to concepts, allowing ideas to translate visually in seconds—and for me, it all hinges on the images.
​Bridging the Gap: Language Training
​By far, the most challenging part of building this team was language training.
​Copilot was simple enough—it is inherently geared toward fluid, conversational interactions right out of the box. Gemini, on the other hand, took real work. Before I managed to coax it out of its shell, Gemini's responses were highly technical, drawn-out, and dense.
​I constantly had to balance how much technical detail I wanted to read against how much I needed it to understand me. Have you ever tried persuading a High Court barrister from a privileged, purely academic background to engage in a casual, down-to-earth conversation with an everyday person from the real world? That is exactly what it felt like. There had to be give-and-take on both sides. I had to learn how to frame my intent, while slowly coaching the AI to drop the textbook jargon and speak human.
​Finding the Rhythm
​Delegating roles across different AI platforms—and taking the time to train how we communicate with each other—has transformed what used to be a confusing, trial-and-error experiment into a smooth digital production workflow.
​I might still be learning as I go, but at least now I’m managing a multi-talented team that speaks my language.

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grounding