The AIQUALISER Podcast: discover how people are really using AI
Claim This Podcastby John Bennett
Podcast Overview
<p><i>The</i> <i>AIQUALISER Podcast</i> examines what changes when AI becomes part of everyday life and work.</p><p></p><p>Each episode is a conversation with someone using AI in their business, profession, or career. We talk about how they use it, how it fits into their existing work, and the challenges they have encountered along the way.</p><p></p><p>These practical, reflective conversations are hosted by John Bennett, author of Don’t Surrender Your Thinking, and are for anyone interested in adapting their work and keeping their thinking sharp as AI advances.</p><p></p><p>If you have a question you’d like explored on the podcast, please visit <a rel="noopener noreferrer nofollow" href="http://frmdb.ly/pod" target="_blank">frmdb.ly/pod</a></p>
Language
🇺🇲
Publishing Since
1/20/2026
1 verified contact email on file for The AIQUALISER Podcast: discover how people are really using AI
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes
May 13, 2026
How To Stop Using AI Like A Search Engine, with Katelin O'Shea
<p><b>In this episode of The AIQUALISER Podcast, John Bennett talks to Katelin O'Shea, who is a Project Manager at Dropbox, a Perplexity Business Fellow and has created a consultancy and training business called AI That Works.</b><br /></p><p>Katelin saw AI being used in a fintech start-up in 2022, so she was already aware of the possibilities when ChatGPT launched. She put that to good use at Dropbox, where she has built systems that take a project scope from half a day's work to twenty minutes, and freed herself up to actually listen in meetings rather than take notes.</p><p><br />She explains what context actually means in plain terms, why rolling out AI to a team is just as much work as building the tool in the first place, and where she draws the line on what AI gets to do.</p><p><br />The episode closes with a question Katelin gets asked a lot: if you could only focus on one area of AI right now, what would it be? Her answer is skills, the reusable instruction files that document your processes in a format AI can act on, which can be built without any technical knowledge.</p><p><br /><b>In This Episode</b></p><ul><li>Katelin's introduction to AI before the ChatGPT era, and what working with an early agent taught her</li><li>Why people with management experience tend to get better early results from AI</li><li>Transcription, structured folders, and custom AI tools: how Katelin manages projects at Dropbox</li><li>The difference between using AI as a search engine and using it as a system built around your work</li><li>What context actually means, with examples that require no technical knowledge</li><li>Why AI rollouts fail, and why individual pain points beat company-wide mandates</li><li>Filtering LinkedIn noise: building a system that turns saved posts into original content</li><li>What Katelin will not let AI do without her own voice in the draft first</li><li>Where to start if you have not started yet</li><li>Skills: reusable instruction files, portable across tools, no technical knowledge required</li></ul><p><br /><b>Chapters</b></p><ul><li>00:00 Introduction to Katelin O'Shea</li><li>03:53 Before ChatGPT changed everything</li><li>08:29 Inside a project manager's AI workflow</li><li>20:23 Context isn't technical</li><li>27:20 Why rollouts fail</li><li>36:40 Filtering the noise</li><li>44:00 Keeping the human in the loop</li><li>48:48 How to get started</li><li>57:40 Listener question: where to focus</li></ul><p><br />You can find Katelin at <a rel="noopener noreferrer nofollow" href="http://aithatworks.io" target="_blank">aithatworks.io</a>, on YouTube at @aithatworks_kate, on TikTok at @aithatworks, and on LinkedIn at <a rel="noopener noreferrer nofollow" href="http://linkedin.com/in/katelinoshea" target="_blank">linkedin.com/in/katelinoshea</a></p><p><br />If you have a question you'd like us to pick up in a future episode, you can get in touch at <a rel="noopener noreferrer nofollow" href="http://frmdb.ly/pod" target="_blank">frmdb.ly/pod</a></p><hr />
April 16, 2026
AI Has No Place in Your Zone of Genius
<p>In this episode of The AIQUALISER Podcast, John Bennett talks with Victoria Westcott, who juggles many roles including producing films and managing a winery, about how she uses AI across very different businesses and why the one place she keeps it out is the work she cares about most.<br /></p><p>Victoria and her sister Jen make independent films. To do that without a studio or investor, they need income that does not take over their lives. AI makes it possible to run a cleaning company, a landscaping business, a YouTube coaching channel and a side-line in wordsearch books, creating income without any of them becoming 'a job'.</p><p>Victoria shares where she finds AI most useful but also where it does not work. Film budgets have defeated it despite a lot of trying: union rates, location-specific tax credits, and constantly shifting figures are more than it can reliably handle. Writing convincingly in a specific author's voice is similarly out of reach. Her most unexpected use case is something different altogether: a personal GPT built around the twelve-week year methodology, which plans her daily meals based on her schedule, fridge contents, and protein targets. <br /></p><p>The episode closes with advice for creative people uncertain about where AI belongs in their work. Victoria's answer: use it for everything outside your zone of genius and keep it away from the work only you can do. <br /><br /><b>In This Episode</b></p><p>- Victoria's route from inner-city teaching to independent filmmaking</p><p>- How the AI helps Victoria create businesses to fund the films</p><p>- AI and the Toronto International Film Festival: researching and personalising at scale</p><p>- Different approaches across film, cleaning, YouTube, and word search books</p><p>- Negative scaffolding: what it is, why AI does it, and how to remove it</p><p>- Where AI falls short: film budgets and voice replication</p><p>- The protein tracker GPT and why it works</p><p>- Why most people using AI are making more work for themselves, not less</p><p>- Zone of genius as a practical filter for every AI decision</p><p>- Advice for creative people who want to use AI without losing their voice</p><p><br /><b>Chapters</b></p><p>- 00:00 Introduction to Victoria Westcott</p><p>- 07:44 AI for the mundane stuff</p><p>- 17:34 Juggling roles with AI</p><p>- 29:50 Negative scaffolding</p><p>- 31:58 What AI can and can't do</p><p>- 40:44 Protecting creative work</p><p>- 52:10 Listener question: the zone of genius</p><p>- 57:39 If AI disappeared tomorrow<br /><br /></p><p></p>
March 12, 2026
AI Won't Answer for Its Mistakes. You Will.
<p><b>In this episode of The AIQUALISER Podcast, John Bennett talks with James O'Regan, co-host of </b><a rel="noopener noreferrer nofollow" href="https://impactofaiexplored.com" target="_blank"><b>The Impact of AI Explored</b></a><b>, about who is actually accountable when AI gets something wrong.</b></p><p> </p><p>James has been podcasting about AI since February 2024. His view of the technology is practical and consistent: useful, incremental, and nowhere near as groundbreaking as the hype suggests.</p><p></p><p>The conversation moves through the hype that has failed to deliver, the security risks that get glossed over in the rush to try new things, and the guardrails question that James returns to throughout. Autonomous agents do not stop when something goes wrong. They keep going until told not to. That requires precise instructions, clean data, and documented processes. Most AI pilots skip all three. That is why most of them fail.</p><p></p><p>The episode ends with a simple question: if AI disappeared tomorrow, what would James miss most? His answer is the efficiency. There are not things AI can do that humans cannot do, it just makes you quicker.</p><p> </p><h2>In This Episode</h2><p>• Two years of change: from experimentation to daily use</p><p>• The AI hardware that flopped, and what it says about hype</p><p>• Security risks in open-source agents and AI browsers</p><p>• Autonomous agents and the guardrails problem</p><p>• Why 70 percent of AI pilots fail</p><p>• What James will not hand over to AI, and why</p><p>• Talking to children about what is real</p><p>• Agents versus automation: how to tell the difference</p><p>• Custom instructions, sycophancy, and the AI relationship problem</p><p>• Listener question: keeping company data out of public AI systems</p><p>• If AI disappeared tomorrow: efficiency, not capability</p><p> </p><h2>Chapters</h2><p>00:00 Introduction to James O'Regan</p><p>03:35 Two years of talking about AI</p><p>06:34 The biggest letdowns</p><p>14:12 Cool but scary</p><p>19:03 Staying in control</p><p>32:04 Kids and AI</p><p>40:12 Agents or automation?</p><p>46:08 Day-to-day use and personalisation</p><p>56:30 Listener question: blocking AI<br /></p>
6 total episodes available
Deep-dive analytics for The AIQUALISER Podcast: discover how people are really using AI
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is The AIQUALISER Podcast: discover how people are really using AI?
<p><i>The</i> <i>AIQUALISER Podcast</i> examines what changes when AI becomes part of everyday life and work.</p><p></p><p>Each episode is a conversation with someone using AI in their business, profession, or career. We talk about how they use it, how it fits into their existing work, and the challenges they have encountered along the way.</p><p></p><p>These practical, reflective conversations are hosted by John Bennett, author of Don’t Surrender Your Thinking, and are for anyone interested in adapting their work and keeping their thinking sharp as AI advances.</p><p></p><p>If you have a question you’d like explored on the podcast, please visit <a rel="noopener noreferrer nofollow" href="http://frmdb.ly/pod" target="_blank">frmdb.ly/pod</a></p> - How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.