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Apple Intelligence’s Liza Adams Renditions

Liza Adams · February 22, 2025 ·

Published on 2025-02-22 22:36

Well, there you have it… Apple Intelligence’s renditions of Liza Adams. 🤣 Some good, some bad, some not so good, and some not so bad. 🤪 Overall, fun.

#AppleIntelligence #ImagePlayground #AI

What Makes a Real AI Agent? A Simple 5-Point Test

Liza Adams · February 21, 2025 ·

Will the real AI agent please stand up?

Published on 2025-02-21 14:30

These days, everything’s an “AI agent.”

Your chatbot? Agent. That email tool? Agent. That meeting scheduler that double-booked you? Clearly a double agent. The thing that just copied text from one place to another? Super advanced agent, obviously.

With “agent” slapped onto every AI tool, the term has become so watered down that it’s losing meaning.

But who am I to decide what counts as a real AI agent? I’ll leave that to those with a higher pay grade.

That said, I still need a way to make sense of it all.

One framework that stuck with me comes from Paul Roetzer (CEO of the Marketing AI Institute). He suggests that a true AI agent works independently, on our behalf, across five key functions:

  • Set goals
  • Make plans
  • Execute tasks
  • Learn from results
  • Analyze outcomes

But most so-called “agents” today only handle execution on their own. A few can do planning or analysis. But I’ve yet to see one that does all five, particularly setting its own goals.

While research projects like AI agents forming societies in Minecraft (as discussed by Eric Vyacheslav here) hint at where we’re headed, they’re still experimental, not commercial AI solutions.

So now, when someone tells me they have an “agent,” I just ask: Which of these five capabilities does it actually have?

That simple question cuts through the hype without needing a PhD in AI.

Hope it helps you too!

What’s the most interesting “AI agent” capability you’ve seen recently?

#AIAgents #AITechStack #AITools #Autonomous #AIAssistants

Illustration of AI agent concepts

AI as Your Thinking Partner: Unlock Fresh Insights

Liza Adams · February 20, 2025 ·

Published on 2025-02-20 14:15

I find it ironic that we say AI should augment human intelligence. Yet we ask AI to think for us.

Using AI as a thinking partner, not as a replacement for our own ideas, is one of the most underrated uses of AI today.

In my latest newsletter, I share my real conversations with Claude and ChatGPT that uncovered fresh insights about marketing’s future:

  • AI will form opinions about your brand before humans do

  • Traditional channel attribution won’t work anymore

  • Companies creating real value will win (not those gaming the system)

  • You need a “trust signal portfolio” across all touchpoints

The best AI-enhanced work starts with your perspective. Not the other way around.

You’ll also get Jonathan Kvarfordt’s practical prompts you can use immediately to turn AI into your thinking partner.

Thank you Jonathan M K. and Wendy W. for sharing your real life approaches to AI collaboration.

Have you tried using AI as a thought partner or collaborating with multiple AIs? Share what worked or what didn’t.

For those who prefer audio, an AI podcast version of this newsletter is available. See link in the comments.

#AICollaboration #AIPrompts #AIinMarketing #Trust #MarketingAttribution

AI: It’s All About How You Use It

Liza Adams · February 19, 2025 ·

Published on 2025-02-19 14:21

AI becomes what you make of it. The attitude you bring to AI influences what you get from it.

Working with teams adopting AI, I’ve noticed how people approach it:

  • Many view it as a Q&A machine or fancy search engine

  • Some see a shortcut or “cheating tool”

  • Others fear it will take their jobs

  • Several use it to handle routine tasks so they can focus on meaningful work

  • A few collaborate with it strategically

Leaders set the tone. Their AI attitudes spread throughout entire departments.

One study showed 75% of workers use AI daily and 46% would continue using it even if banned.

Blocking AI doesn’t stop usage. It just causes people to hide its use.

AI is our mirror: cheat with it, it cheats; create with it, it creates; strategize with it, it strategizes.

Understanding AI matters regardless of your feelings about it. AI literacy helps you make better decisions for yourself, your family, your career, and your business. Otherwise, you risk being influenced by others who might not hold the same values.

AI isn’t inherently “good” or “bad.” It depends on how we use it. Treat it like a shortcut, and that’s all it will be. Treat it like a thinking partner, then it can help make your ideas better.

Check out my newsletter (https://lnkd.in/gkG5aU9T) where I cover specific examples and prompts on how to collaborate with AI to uncover new insights.

#ResponsbileAI #AILiteracy #AIEducation #AICollaboration #AIPrompts

Team Alignment: Your AI-Powered Framework to Win

Liza Adams · February 18, 2025 ·

Published on 2025-02-18 14:25

We’re halfway through Q1! Often the gap between hitting goals vs not isn’t about talent or effort; it’s about alignment. And that’s still fixable now before the gap gets too wide.

I’ve used this framework for years and seen it consistently drive success when teams embrace it fully:

► Each segment (e.g., Top Accounts, Key Verticals, Volume) has clear business impact goals

► Every function sets specific goals that ladder up to these segment goals:

  • Sales commits to customer value and growth metrics

  • Marketing focuses on engagement and customer journey signals

  • Product commits to adoption and usage outcomes

  • Customer Success drives toward customer success indicators

  • Ecosystem measures network effect and platform value

But goals alone aren’t enough. Success depends on clear commitments between teams:

► How Marketing insights drive Product decisions

► How Product capabilities enable customer outcomes

► What each team needs from others to succeed

► What each team will deliver to help others win

The framework tracks it all in one view: the goals, commits, and status for each team.

Green means on track. Yellow needs attention. Red needs help. With the heatmap, teams see dependencies clearly, they can jump in to help each other succeed.

AI makes this framework even better. Teams share data. AI flags issues before they hurt results. It catches what we might miss. Like when demo requests triple but deals don’t close or when feature downloads spike but retention drops after week one.

I’ve learned over the years that when you combine clear alignment with consistent tracking and joint problem solving, success follows. Everyone succeeds or fails together.

In this model, you’re not just a functional leader. You’re a business leader who can use both frameworks and technology to drive alignment.

Is everyone on your exec team aligned and in it together? If not, a framework like this, powered by the right data and AI insights, might be exactly what you need to win in 2025.

#GTMStrategy #Alignment #KPIs #AI #B2B

Illustration related to business alignment and goals.
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