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.

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.

Taking Control of Your AI's Memory

AI Moment Podcast Episode 26

Ever feel like your AI has a case of amnesia after an update? On this episode of The AI Moment, my co-host Jonathan Wagstaffe and I explored why AI models forget what you've taught them and, crucially, what you can do to fix it.

We discussed the technical reason, known as "catastrophic forgetting," where updates essentially overwrite old data. But understanding the 'why' is only half the battle. The real value comes from taking proactive steps to manage the AI's knowledge base, as you simply cannot rely on its memory to persist between versions.

Here are the key actions we recommend to stop the frustration and get consistent results:

1. Create Your Own AI 'Brain': The most powerful action you can take is to build an external knowledge base. Once you have briefed an AI on your business, a project, or a specific product, get it to summarise its understanding. Copy this information, save it as a PDF, and you have created a portable 'memory' for your AI.

2. Reload and Go: Before you start a new project or conversation, simply upload this PDF. This gives the model all the crucial context it needs right from the start. It's a simple habit that completely bypasses the model’s unreliable memory and ensures you get relevant, accurate outputs every time.

3. Let the AI Interview You: To make building your knowledge base even easier, turn the tables. Start a session by asking the AI to interview you about your topic. Prompt it to keep asking questions until it has a comprehensive understanding. That detailed conversation becomes your master document to save and reuse.

By taking these steps, you put yourself in control. Stop letting AI updates reset your progress and start building a reliable system that works for you.

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Connect with Us:
Have more questions about AI and leadership? Reach out to us directly by emailing ai@dannydenhard.com or hit message below

Or join us and have a chat with us on LinkedIn

• Danny on LinkedIn - https://www.linkedin.com/in/dannydenhard/
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AI Sheep Vs AI Lions Podcast Show Notes

AI Moment Podcast 25

In this week's mailbag episode, Jonathan and I dive into a question that's on many leaders' minds:

How do we stop low-quality AI work from creeping into our teams' output?

It’s a challenge I’m seeing more frequently – team members using AI to simply tick a box, rather than to elevate their work, which can lead to a noticeable dip in quality.

We had a great chat about shifting this dynamic. A key idea we explored was Jonathan's concept of 'AI Sheep' versus 'AI Lions'. Are we passively accepting what AI gives us, or are we actively using it to challenge our ideas and become better at what we do?

Our discussion centred on practical steps to encourage the 'lion' mindset. We believe it starts with creating a solid framework. This includes developing an AI manifesto with clear guardrails, establishing an AI style guide with best-practice examples, and building a library of high-quality prompts for common tasks. It's not about policing AI use, but about setting a clear standard for excellence.

We also touched on a simple yet powerful habit: the 'two Vs' – always validate the output and verify the sources.

This builds a crucial layer of accountability.

Ultimately, our core takeaway was this: you own your output. No matter what tools you use, the work that leaves your desk is a reflection of you. It’s about taking pride in what you produce and always being the essential "human in the loop." We need to foster a culture where AI is seen as a collaborator that helps us think deeper and produce better work, not a shortcut that compromises quality.

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Got questions contact us on ai@dannydenhard.com or via our site ⁠dannydenhard.com/aipod

Connect With Us On LinkedIn

• Danny on LinkedIn - https://www.linkedin.com/in/dannydenhard/
• Jonathan on LinkedIn - https://www.linkedin.com/in/wagstaffe/

Welcome back to The AI Moment! I’m Danny Denhard, and this week, Jonathan (Wagstaffe) and I dived deep into a topic that's currently transforming every business: AI in Sales.

I must admit, I was surprised to hear from Jonathan that so many salespeople are still only using AI for simple email creation. There is so much powerful, low-hanging fruit they’re missing out on!

This episode is all about revealing those immediate wins that can drastically cut admin time and instantly boost your sales performance.

What we cover in this bite-sized episode:

• Smarter Prospecting, Not Harder: Jonathan shares how you can use AI to analyse your past 50 client wins, spot key patterns, and automatically build lists of new, high-value prospects. Stop manual guesswork and start finding more people 'just like that'.
• The Ultimate Call Prep: We discuss how to dump all your customer communications, notes, and website links into an AI tool to instantly generate a structured call plan. This means you go into every meeting with an identified value proposition and a list of predicted objections already prepared.
• Be Present: AI Coaching and Review: For me, this is a game-changer. We explain how recording your Zoom or Teams calls can provide you with more than just a summary. You can ask the AI to coach you—telling you if you talked too much or missed crucial questions. It's objective, data-driven sales coaching at your fingertips.
• Ending CRM Pain: Every sales professional hates filling in the CRM. I certainly do! We show you how AI can entirely automate this, extracting essential data points (deal stage, next steps, monetary amount) from your meeting notes and populating your CRM for you.

Crucial Guardrails: We wrap up by stressing the critical importance of a 'sanity check'. While AI is powerful, we are the ones who own the data, and we must always verify outputs and be meticulous about the security of any sensitive customer information.

If you want your sales team operating at the top level, this is a must-listen. Stop doing the donkey work and focus on what matters—selling!

Links and Resources:

• Tools Mentioned: LinkedIn, HubSpot, Zoom, Teams, CRM systems.
• Check out all our insights and

We have a supporting newsletter for every podcast breaking down the subject further and providing invaluable insights and screenshots for tools and tips we provide go over to aimoment.co.uk and hit subscribe.

You can message there or email ai@dannydenhard.com

Thanks for listening

Danny Denhard

Connect With Us On LinkedIn

• Danny on LinkedIn - https://www.linkedin.com/in/dannydenhard/

• Jonathan on LinkedIn - https://www.linkedin.com/in/wagstaffe/

IoD AI Governance Report: Stop the Shadow Adoption!

Hi and thanks for listening, it’s Danny here and on this week's AI Moment, Jonathan and I are tackling a seriously important document: the IoD Governance in the Boardroom AI Report.

The episode is a little denser than usual, so it is worth subscribing to our newsletter (we send out a newsletter with every pod) where we dived a little deeper and shared an executive briefing.

The Full Report Is Available Here https://www.iod.com/app/uploads/2025/06/IoD-AI-Governance-in-the-Boardroom-1-7f341cd46a780f216ad68d88d4cddc8f.pdf or on our newsletter

https://aimomentpodcast.substack.com/

It might sound a bit heavy, but this 34-page guide, released in September, is essential reading for every UK business leader. We’ve broken down the key warnings and opportunities into simple, bite-sized chunks.

The core message I took away is that adoption is running ahead of governance. We see individuals and teams adopting powerful tools like Gemini and ChatGPT—what we call ‘Shadow AI’—without the necessary strategic oversight. The IoD report makes it clear: if you want to scale AI safely, you must get a handle on this now. (For a deeper dive, check out our previous episodes on Shadow AI and our AI Manifesto—links below!).

We also discussed the regulatory complexity facing UK firms. Since we don't have a single, unified AI Act, businesses must navigate dual compliance between UK regulators and the risk-based EU AI Act. If your data or cloud systems (like Salesforce) touch the EU, you need a proactive strategy to avoid falling foul of both.

For me, the key to trust lies in the data. The report stresses the 'Holy Trinity': lineage, quality, and permissions. If you can't prove where your data came from, you simply shouldn't be running the experiment. This isn't just an IT problem; it's an enterprise-wide initiative that requires the board's full attention.

Finally, we noted the new ISO 42001 standard for AI management. I know, another standard, but it provides the essential framework for risk assessment and control.

We’ve put a direct link to the IoD report below, and I plan to use NotebookLM to create an executive briefing to save you the 34-page read! Thanks for listening, and don't forget to subscribe and check out our newsletter at aimoments.co.uk.