Hello and welcome back to The AI Moment. In today's episode, Jonathan and I dive deep into a topic that's critical for every leader right now:

How AI is reshaping our teams, departments, and overall organizational design

It’s not a question of if this will happen; my belief is that it's already underway.

We're entering a period where department leaders will have to reorganize based on new AI tools and workflows.

This pressure isn't just coming from the top—from leadership or investors—but also from the ground up, as teams discover what these tools can do.

If you got to newsletter aimoment.co.uk there is a template you can fill out for your company or drop me an email ai@dannydenhard.com I will send you a personal copy.

As Jonathan rightly points out, it's not that AI will replace jobs, but it will absolutely replace tasks. This means we must use AI to "supercharge" and augment what our teams do

One major takeaway from this shift, as I see it, is that many specialists will need to become generalists. And this is an opportunity for the company but also for team members.

To help you get practical, I shared a few exercises I use with leadership teams to future-proof their strategy:

• The 'Circles' Model: This involves drawing concentric circles to map which teams will be 'Powered by AI' (in the centre), 'Assisted by AI', 'Using AI', or have 'Limited AI' impact (on the outer ring).

  
  

• User Journey Mapping: I also recommend mapping your customer's complete journey and then identifying every single point where an AI agent or bot could assist them.

  
  

• To help you properly visualise these frameworks, I've included diagrams and visuals in our supporting newsletter.

  
  

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  📣 Danny & Jonathan

Hello and welcome to The AI Moment! I’m (Danny Denhard) back with Jonathan for episode #31 on this episode we tackle one of the biggest challenges in AI right now: moving from hype to practical, safe adoption.

In my workshops with large companies, I see a major gap. Leaders are pushing a top-down mandate to "go optimise with AI," but teams haven't been given the guardrails. This leads to "shadow AI," where sensitive data is being uploaded to public tools without oversight.

To fix this, I introduced my "3 T's" framework, a simple model for anyone to evaluate AI tools and outputs.

1. TIME: This is the obvious one. Does it save you time or free you up for more important work? It's what draws us all in, but it's also a trap.

2. TRUTH: Is the output truthful? We all know AI hallucinates. If you just copy and paste without checking, you’re creating what Jonathan brilliantly calls "AI slop." You must be the human-in-the-loop.

3. TRUST: This is a two-part, critical question. First, do you trust the output enough to put your own name and reputation on it? Second, do you trust the tool with your private or company data?

The core takeaway is that this framework helps you move from being an "AI sheep" someone who just uses AI for speed, to an "AI lion," using it to critically augment your skills.

Your Call to Action:Think about the last AI tool you used. Run it through the 3 T's. Did it pass?

For a deeper dive and more frameworks like my "Two V's" (Verify and Validate), make sure you subscribe to our supporting newsletter, which comes out every Monday and Friday. You can find it at aimoment.co.uk.

And finally, if you found this episode useful, please leave us a rating and review on your podcast player.

It makes a huge difference. Thanks for listening!

Danny Denhard

Our Daily AI Tools & AI Tool Stack

Ever wondered which AI tools we actually use every day?

It's a question Jonathan and I get all the time, so in this week's episode, we're pulling back the curtain and walking you through our personal AI stacks.

I share my Google-heavy workflow 👀, explaining how I lean on Gemini for everything from deep research to drafting these very show notes.

I also discuss a tool that's been a complete game-changer for me personally: Elevenlabs. As someone with dyslexia, the ability to listen back to my writing to catch errors and check the flow has been transformational for my productivity and confidence.

Jonathan offers a different perspective, diving into his go-to tools like ChatGPT and Descript. He shares an incredible example of how Descript allowed him to turn raw video footage into a fully polished, captioned piece of content in just one hour, a job that would have previously taken a couple of days.

But our biggest takeaway for you is this: don't feel you need to use every tool out there.

We explain why it’s more effective to pick one primary large language model, whether it's Gemini, ChatGPT, or Claude, and really master it for your own workflow.

AI Tools Mentioned:

• Google Gemini

• Claude (Anthropic)

• Comet (Perplexity AI Browser) - here’s my personal invite for you

• Dia (AI Browser) - here’s my personal invite for you

• NotebookLM (Google)

• Elevenlabs

• Grammarly

• Google AI Studio

  • I have two apps you can try out yourself - (1) dannydenhard.co.uk/aistudio to mock up ads in 6 different environments like bus stops, Times Square, football stadiums etc and (2) 6x frame storyboard dannydenhard.co.uk/aistudio2

• Riverside

• Descript

• ChatGPT (OpenAI)

• HeyGen

• Copilot (Microsoft)

For a deeper dive and a complete list of all the tools mentioned, make sure you subscribe to our supporting newsletter at aimoment.co.uk. It goes out every Monday and Friday with the pod.

And if you enjoyed this episode, we'd be incredibly grateful if you could leave us a rating and review on your podcast player of choice. It truly helps us reach more people.

Cheers, Danny

Here's a quick explainer of a small but positive change of how Jonathan and I are going to be introducing 30-45 minute episodes to interview and learn from AI experts and leading minds working with AI to help you on your AI journey.

In this week's episode of The AI Moment, Jonathan and I tackle a term that's been unavoidable lately: "AI slop."

We're all seeing it, the endless stream of low-quality, inaccurate, and uninspired content flooding our feeds. But this isn't just about digital noise; it's a serious risk to your brand's reputation and the trust you've built with your audience. We discuss how easily the pressure to produce content at scale can lead to a "good enough" mindset, which simply isn't good enough anymore.

So, how do you fight back?

We explore the crucial mindset shift from chasing volume to delivering value. It's about using AI to augment your intelligence, not replace it. Jonathan introduces a brilliant analogy that cuts right to the heart of the matter: are you an "AI Sheep," merely outsourcing your thinking, or an "AI Lion," using these powerful tools to sharpen your ideas and deepen your expertise?

I also share a practical look into my own workflow, demonstrating how you can repurpose high-value content into different formats to reach your audience where they are, without sacrificing quality.

AI Tools Mentioned:

• Sora 2 - OpenAI’s new app that dominated the US app store for over a week

• NotebookLM - Both of our favourite tool by Google

Our core takeaway for leaders: In a world drowning in digital slop, your commitment to quality, authenticity, and verifiable authority is your greatest differentiator.

If you found this episode useful, please subscribe to our supporting newsletter for a deeper dive at aimoment.co.uk. And if you could take a moment to leave us a rating and review on your podcast player of choice, we'd be incredibly grateful. It truly helps us reach more listeners.

Making slides and decks in AI

Welcome back to the latest episode of The AI Moment.

Ever found yourself drowning in a sea of text, wishing you could wave a magic wand and turn it into a stunning presentation? This week, Jonathan and I explored exactly that.

We tackled the big question: what's the best AI for creating and polishing slide decks?

My top recommendation, and a real game-changer in my opinion, is Gamma (gamma.app). If you've got a document packed with great content but lack the designer's touch, this tool is for you. It excels at transforming text into visually engaging slides, empowering you to create decks you'd be proud to present. It truly unlocks your inner designer.

Here is what Gamma produced based on our supporting newsletter. That a look and see what you think of a 2 min exercise.

We also discussed how other tools like Microsoft’s Copilot are catching up, though they often need a firmer hand to guide them visually. The overarching theme is clear: AI is rapidly moving beyond a novelty and becoming an essential tool for business communications. It’s here to help us reclaim the hours spent tweaking slides, so we can focus on what really matters—the message itself.

So, here are your calls to action: Give Gamma a try with your next internal report or presentation and see the magic for yourself. We'd love to see what you create, so please do share your results with us!

AI Tools Mentioned:

• Gamma (gamma.app)

• Microsoft Copilot

• Google Slides / Gemini

• NotebookLM

• Claude

• ChatGPT

• Canva

And if you haven’t already, subscribe to our supporting newsletter at aimoment.co.uk for more in-depth insights. Finally, if you enjoyed the episode, a rating and review on your podcast player would be brilliant.

Thanks for listening, and we'll see you next time.

What is the future of advertising in the age of AI?

AI Moment Podcast 27

Hello and welcome back to the AI Moment.

Danny (Denhard) here breaking down podcast #27.

In this episode, Jonathan and I tackle a question I’ve been thinking about a great deal:

Q: What is the future of advertising in the age of AI?

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Forget the simple, keyword-based ads we're used to. I believe we're heading towards a far more exciting and integrated future.

I shared my vision for a new hybrid ad model, one that blends the best of search, social media, and even traditional TV advertising to create something entirely new and genuinely useful.

Imagine ads that don't just answer a query but provide a personalised solution right there in the chat – a custom-built report, a pre-populated spreadsheet, or even the ability to buy an entire outfit with a single click.

This isn't just a theoretical concept; it's what I call ‘agentic’ advertising, and it’s going to force us all to rethink what an ad can be.

We also discussed the practicalities for businesses. How do you measure success when an ad delivers a bespoke, high-value asset instead of just a click? We explored the huge opportunities this presents but also considered the critical importance of brand safety in a world of potential AI hallucinations. Furthermore, I offered my predictions on how the major AI players like ChatGPT, Claude, and Gemini might specialise their ad offerings to cater to different markets, from consumer goods to complex developer tools.

It was a fascinating conversation that went deep into how advertising could transform from a necessary evil into a valuable service.

This is a massive opportunity for brands to connect with customers in a completely new way.

Got Your Own Question?

Got a question yourself? Happult contact us on ai@dannydenhard.com or message us via our site ⁠dannydenhard.com/aipod or via DM on LinkedIn https://www.linkedin.com/in/dannydenhard/ & https://www.linkedin.com/in/wagstaffe/

In this episode of The AI Moment, Jonathan Wagstaffe and I dive into the new "Perplexity at Work" guide, and I must say, it’s genuinely impressive. When it first landed on my desk, I worried it was just another promotional PDF, but it's an incredibly useful 43-page "operating manual" for the modern worker.

The biggest strategic insight we both took away is that this guide signals Perplexity's clear ambition to evolve far beyond its origins as a simple "answer engine."

They are making a very strong, strategic play to become a complete, all-in-one "operating system" for your work. This means moving from a tool you just ask questions to an environment you work within.

I found its breakdown of how their entire suite of tools—the browser, the new email tool, and the core AI—are designed to work together seamlessly to be fantastic and a clear sign of this ambition.

We break down the key takeaways from our discussion, including:

• The "Operating System" Play: This is Perplexity's big strategic jump. They don't want to be just another tab; they want to be the "full-service operating platform" that you work inside of, centralising your tasks and reducing your reliance on a scattered tech stack.

• A Three-Stage Productivity Model: Jonathan highlights the guide's clever three-layer structure for achieving tangible, real productivity. It’s a clear path: 1. Block distractions (using AI to filter noise, not just turn off alerts), 2. "Scale yourself" (by treating your work as systems and automating the repetitive parts), and 3. Get measurable results (linking your AI use directly to outcomes and ROI).

• Moving into "Notion" Territory: My own take is that this positions them as a direct competitor to tools like Notion. They are aiming to be that all-in-one suite that is both an assistant (helping you draft, research, or summarise) and an agent (autonomously managing tasks and workflows for you).

• The Race for "Utility": This is all part of the wider, frantic race for AI companies to become an indispensable "utility." The goal is to become so embedded in your daily life—like your email client or browser—that you can't work without it. This is how they secure those crucial Daily Active Users (DAUs) and prove their long-term value. This guide is Perplexity's playbook for winning that race.

Our Core Takeaway & Call to Action:Go and read the guide. Jonathan and I both highly recommend it. Even if you are not a daily Perplexity user, the frameworks it teaches for reducing cognitive load, managing distractions, and structuring your work with an AI assistant are some of the most practical and valuable we’ve seen. These are universal skills for this new era of work, and it’s genuinely helpful for anyone on their AI journey.