A Stupid Simple Strategy to Turn Your Team into AI Superusers
Going back to basics will give your team a big advantage.
Your team is drowning in AI choices.
Every day brings new tool launches, hot takes, and "must-have" platforms.
Meanwhile, they're using maybe 10% of what the approved tools can do.
Many of us are being pulled towards headlines instead of mastering the basics.
With this approach, we won't get good at anything.
What if I told you there was an easier way to get ahead with AI?
Ignore Everything & Go Back to the Basics
You read that right.
It's time to reject the noise and go simple.
There are thousands (maybe millions?) of shiny AI tools. Too many to count!
For non-technical workers, trying to do it all brings confusion and overwhelm.
A better approach: have your team become superusers of one tool.
Until then, spending time worrying about anything else is holding you back.
What Tool Should My Team Master?
The good news? You probably already have the tool approved.
Focus on building skills with a Large Language Model (LLM). They're the core of today's AI technology.
Master one of these, and your team will be better at using and evaluating all other AI tools.
There are just 3 major options for your org to pick from:
- Claude (Anthropic)
- ChatGPT (OpenAI)
- Gemini (Google)
The rest can be written off for various reasons for now.
Pick one. Get it approved. Train your team to be superusers.
How to Become Superusers
Becoming a super user means knowing the features your tool offers and using them.
Teams that stick to basic chat miss 90% of what their tool can do.
That's leaving opportunity on the table.
1. Stay Up to Date With Your Tool
Each platform releases new capabilities constantly.
Your team's job is to know what your chosen tool can do and where it makes sense to use it.
Here's a list of some features available on the big three platforms:
You need someone who stays on top of releases and brings them to your team.
2. Try Out Every Feature
New AI features aren't plug-and-play.
They require iteration, specific inputs, examples, and fine-tuning to get quality outputs instead of slop.
The first attempt never works perfectly. Superusers know this and plan for it.
Start basic. Add context. Include examples. Refine the output format. Test edge cases.
Instead of quitting after a few lousy attempts, superusers iterate until they get the breakthrough.
3. Share What Works
Create accountability loops within your team. Hold regular knowledge sharing sessions where people experiment and regroup on what's working and what isn't.
When someone discovers a feature or workflow that saves time, document it. Share it. Make it standard practice.
Require participation. Reward creativity and exploration.
The pace of change means even best practices are constantly evolving. Stay adaptable. Just because something wasn't working two months ago doesn't mean it won't work today.
Focus on mastering your core tool before branching out to others.
As early team members emerge as superusers, put them in charge of exploring AI opportunities beyond your core tool.
Going Simple Will Give You an Edge
Instead of jumping from tool to tool without building expertise, you'll have a team that is focused on using AI effectively.
Mastering one tool will build their confidence with AI.
From there, they'll be ready to strategically use other tools.
Skip the noise. Master one tool. Get results. Then expand.
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