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Liza Adams

AI for Better Communication: Challenge Your Thinking

Liza Adams · February 28, 2025 ·

AI isn’t making us better communicators… but it could.

AI can automate responses, polish our words, and even suggest how to “sound more human.” But does that actually make us better at communicating?

I’d argue no, unless we take control.

Working with AI has made me confront my own flaws. I get tired. AI doesn’t. I get frustrated. AI stays neutral. I have biases I don’t always see. AI exposes them (sometimes).

After a long day, I used to stare at difficult emails, knowing I should wait before replying. Now, AI helps me refine my response, firm but fair.

But the problem is AI can suggest the perfect words, but only I know what I actually mean.

Instead of blindly accepting AI’s polished version, I ask both myself and AI better questions:

  • ► How might someone with a different view read this?

  • ► What biases are sneaking in?

  • ► How can I be clear without being defensive?

  • ► What’s a respectful way to hold my ground?

When I do that, AI doesn’t replace my thinking. It challenges it. And that’s where its real value lies.

Most people assume AI will either make us lazy communicators or turn us into perfect corporate robots. I think the truth is somewhere in between and it’s up to us to decide.

So, what do you think? Is AI improving human communication or are we just outsourcing our voice?

#Humanity #AI #SelfAwareness #AIPrompts #Communication

AI Communication

See original post here

AI Won’t Make You Better Communicators. You Will.

Liza Adams · February 28, 2025 ·

Published on 2025-02-28 14:02

AI isn’t making us better communicators… but it could.

AI can automate responses, polish our words, and even suggest how to “sound more human.” But does that actually make us better at communicating?

I’d argue no, unless we take control.

Working with AI has made me confront my own flaws. I get tired. AI doesn’t. I get frustrated. AI stays neutral. I have biases I don’t always see. AI exposes them (sometimes).

After a long day, I used to stare at difficult emails, knowing I should wait before replying. Now, AI helps me refine my response, firm but fair.

But the problem is AI can suggest the perfect words, but only I know what I actually mean.

Instead of blindly accepting AI’s polished version, I ask both myself and AI better questions:

  • ► How might someone with a different view read this?

  • ► What biases are sneaking in?

  • ► How can I be clear without being defensive?

  • ► What’s a respectful way to hold my ground?

When I do that, AI doesn’t replace my thinking. It challenges it. And that’s where its real value lies.

Most people assume AI will either make us lazy communicators or turn us into perfect corporate robots. I think the truth is somewhere in between and it’s up to us to decide.

So, what do you think? Is AI improving human communication or are we just outsourcing our voice?

AI and communication image

#Humanity #AI #SelfAwareness #AIPrompts #Communication

Custom GPTs vs. Direct Prompting: A Simple Guide

Liza Adams · February 27, 2025 ·

Published on 2025-02-27 14:34

Are most businesses wasting time by not building Custom GPTs?

If you’re using AI, you’ve probably asked yourself this: Should I keep prompting manually, or should I build a Custom GPT?

In a previous newsletter, I shared how human and AI teammates can work together as a real-life powerhouse team.

Many of those AI teammates are custom GPTs. They are AI tools users can build with pre-set knowledge and guidelines to handle specific tasks.

But is building one worth the effort?

Here’s a simple way to decide:

  • Custom GPTs – Best for when multiple people need consistent, repeatable outputs without having to master prompting.

  • Direct Prompting – Perfect for one-off, flexible needs where customization isn’t essential.

The table below breaks it down further. (UPDATE on Mar 8: I’ve updated the table to include Project. Please see the updated table in the comments, https://lnkd.in/g5vT6YDP)

What’s the most valuable Custom GPT your team has built and what problem did it solve?

#CustomGPT #AIPrompts #AITeammates #AICollaboration

An image related to Custom GPTs

Custom GPTs vs. Manual Prompting: How to Decide

Liza Adams · February 27, 2025 ·

Are most businesses wasting time by not building Custom GPTs?

If you’re using AI, you’ve probably asked yourself this: Should I keep prompting manually, or should I build a Custom GPT?

In a previous newsletter, I shared how human and AI teammates can work together as a real-life powerhouse team.

Many of those AI teammates are custom GPTs. They are AI tools users can build with pre-set knowledge and guidelines to handle specific tasks.

But is building one worth the effort?

Here’s a simple way to decide:

  • ► Custom GPTs – Best for when multiple people need consistent, repeatable outputs without having to master prompting.

  • ► Direct Prompting – Perfect for one-off, flexible needs where customization isn’t essential.

The table below breaks it down further. (UPDATE on Mar 8: I’ve updated the table to include Project. Please see the updated table in the comments, https://lnkd.in/g5vT6YDP)

What’s the most valuable Custom GPT your team has built and what problem did it solve?

#CustomGPT #AIPrompts #AITeammates #AICollaboration

Visual comparing custom GPTs and direct prompting benefits.

See original post here

AI Builds Human-AI Workflows: No-Code Simulation

Liza Adams · February 26, 2025 ·

What if you could see the actual workflow between human and AI teammates in your org? Here’s a simulation for workflows like:

  • Product marketers collaborating with AI on positioning

  • Content teams refining AI-generated outlines

  • Campaign managers using AI analysis for budget recommendations

In my newsletter (https://lnkd.in/gqFa9e-R), I shared two org charts and a step-by-step AI integration playbook:

  • A conceptual marketing org chart with human experts who created their own Star Wars-themed AI teammates for specific tasks

  • The real-life team that was inspired by this concept. After 6 months, it now has 25 humans and 20 AIs, achieving 35% improved campaign performance, 75% faster content creation, and 100% AI adoption.

This interactive simulation brings the conceptual model to life.

You’ll see the specific exchanges between product marketers and their AI teammates, content managers refining AI-generated outlines, and demand gen teams using AI analysis for campaign decisions.

The most interesting part is that AI (Claude 3.7 Sonnet) built the core functionality in < 1 min after I uploaded the org chart image with a simple prompt:

“Build an interactive simulation that demos workflow between human team members and their AI teammates, showing how work passes from humans to AI and back.”

It took just a couple more prompts to improve the visual appeal. No coding required.

This capability removes technical barriers and turns ideas into engaging, easy-to-understand tools that anyone can use immediately.

Watch the video below or try the simulation yourself with the link in comments.

Forward-thinking teams will use this approach to map their human-AI workflows and build AI teammates to support their work.

This isn’t just about technology. It’s about change management. Teams who map these workflows gain significant advantages in speed and market impact.

What AI workflows are you building in your org?

#AIWorkflows #AIAdoption #Claude #ChangeManagement

Try the interactive AI workflow simulation for Marketing: https://claude.site/artifacts/098d3b78-6cbe-4da9-b437-00e1abb131c9

Jonathan Moss created the Sales and CS versions below:

Sales – https://claude.site/artifacts/513e74f1-cf46-428f-b9db-df2f728f6922

Customer Success – https://claude.site/artifacts/1744628c-df9b-4655-bea7-2296a8180ba8

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