Your first AI teammate might not be what you expect. The most powerful starting point could be a digital twin that mirrors your thinking.

Many GTM leaders think of AI teammates as specialized tools. But while campaign optimizers, prospect qualifiers, and customer satisfaction analyzers save time, personal AI simulators solve for the real challenges you face daily: conflicting priorities, juggling requests, and the pressure to always bring your best self to work.

Digital twins or “sims” copy specific thinking patterns and knowledge. They work with you as partners, not just task helpers. They become your first real AI teammates, expanding what you can do while handling the routine work.

They prepare you for executive meetings, test ideas without scheduling another call, and maintain your strategic voice even during your busiest weeks.

The table below highlights just five simulator types that create immediate value.

I’ve built an interactive model showing real examples, knowledge needs, and sample conversations for each type. You can build your digital twin with ChatGPT’s Custom GPT, Claude Project, or Gemini Gem.

I show exactly how to do it here: https://lnkd.in/gb5zdhpj

Subscribe to my newsletter Practical AI in GTM here so that it comes to your inbox every two week: https://lnkd.in/eg48-RXp

Teams creating simulator ecosystems get more strategic work done while spending less time on routine tasks.

What’s your experience with AI sims or digital twins? Have you tried building one?

#AISimulators #DigitalTwin #CustomGPT #AITeammates #GTMStrategy

My son had an idea for a neighborhood business this summer. But it wasn’t moving past the “just talking about it” stage.

Since he already enjoys learning tech through robotics club and using his 3D printer (which even uses some AI), we decided to experiment with “Images by ChatGPT” to create a flyer concept.

Neither of us knows design, so expectations were low.

But when Josh saw the flyer (below), something clicked. The idea felt real. He could picture himself actually doing it. So we’ll see where this goes.

It was another great reminder that AI doesn’t have to be complicated. Even small experiments help kids (and adults) get comfortable turning ideas into action.

Try something small with AI this weekend. You never know what ideas it might bring to life.

#STEMEducation #AILiteracy #CreativeAI #AIImageGeneration #ChatGPT

But that’s what showed up in the timeline image created by the new “Images in ChatGPT,” announced this week as part of GPT-4o.

I fed it its own deep research on 100 years of job evolution in the U.S. and asked it to turn the insights into a timeline infographic.

The layout was clean. The flow made sense. The icons and structure were well done.

It’s definitely better and genuinely impressive, but still not quite there with text placement and spelling. It struggles with small labels, dense copy, long words, and text-heavy infographics. And OpenAI has acknowledged this limitation.

That said, I’ve seen others share infographics that turned out great using this new feature. So results may vary, but there’s no harm in trying it for yourself.

Where GPT-4o image generation works well:

• ► Posters and diagrams

• ► Concepts with lighter or no text

• ► Visuals for storytelling

This isn’t a complaint, just a reminder of how far things have come in such a short time. We had nothing close to this two and a half years ago.

And remember: This is the least capable AI image generation we’ll see from here on out.

Try it yourself and let me know what you think.

BTW, “Assohly Line” and “Orfice Work” are supposed to be Assembly Line and Office Work. 😉

Here’s the same concept generated by Claude, another AI assistant, for comparison: https://lnkd.in/gSNPwyRR

#AIVisualization #AIImages #ChatGPT #Infographics #AIDesign