Andrew Miles Davis answers three questions submitted by attendees of his corporate training sessions, including a practical breakdown of how to explain AI tools to someone with no technical background using analogies drawn from whatever the listener already knows well. He gives a candid answer to what genuinely worries him most about the direction AI is heading, pointing not to the technology itself but to the motivations of the people building it, and explains why he continues to teach and use AI despite those concerns. He also maps out every series he runs on the podcast and reveals which formats he enjoys most and which take the most work to put together. Subscribe to In AI Nutshell for daily ten-minute episodes covering the questions real people are actually asking about AI right now.

Andrew Miles Davis covers three tools on this week's Cool Tools Tuesday, starting with PicLumen, a free AI image and video studio that has been his go-to recommendation in training sessions for months and has recently expanded well beyond its origins as the best free access point for the Flux image model. He also breaks down Google Lyria 3.0, the music generator sitting quietly inside Gemini that most users are missing entirely, and rounds off with Language Tool, a free AI grammar checker with a Chrome extension that Andrew argues now does more for free than Grammarly does. All three are either free or part of tools people are already paying for, making this a particularly practical episode for marketers watching their AI spend. Subscribe to In AI Nutshell for three new tools every Tuesday explained in plain language with honest verdicts.

Andrew Miles Davis kicks off a new series drawing on patterns he has observed across thousands of face-to-face training sessions, starting with two of the most common reasons people struggle with AI tools despite genuinely wanting to use them well. The first is an expectation problem, where people go in expecting the accuracy of a database, the creativity of a human, and the consistency of software, and then lose patience when AI delivers something messier than that. The second is a habit carried over from two decades of search engine use, treating large language models like Google by typing short queries, reading the first answer, and moving on. Andrew argues that shifting these two mindsets alone would improve most people's results overnight. Subscribe to In AI Nutshell for daily ten-minute episodes built around what actually happens when real people use AI at work.

Andrew Miles Davis covers this week's AI news with a focus on what it means for marketers, starting with new data showing bot traffic now accounts for over half of incoming visits for some publishers as AI crawlers scrape content to train large language models without permission. He explains the shift from SEO to GEO, generative engine optimisation, and why marketers are already gaming the new system in ways that could poison the quality of information AI models produce. He also covers a MIT and Stanford study finding that AI systems frequently prioritise agreement over accuracy, a behaviour known as sycophancy that makes training your model to push back more important than ever. The episode rounds off with the impact of AI short-form video tools on the editors who built careers clipping long-form content for influencers. Subscribe to In AI Nutshell for the AI news that actually matters to marketers, every Friday in ten minutes.

Andrew Miles Davis shares three prompt extensions that consistently produce sharper, more useful answers from any large language model, starting with a technique that forces the AI to identify what you might be getting wrong before it even answers. He also breaks down a comparison framework that goes beyond asking what competitors do, by asking what a third player would do to beat them both, and rounds off with a prompt built around the idea that success leaves clues, using reverse engineering to unpack how someone or a company achieved a specific result. All three are practical, immediately usable, and explained with real examples from Andrew's own prompting sessions. Subscribe to In AI Nutshell for prompt hacks, tool reviews, and daily AI insight built for marketers.

Andrew Miles Davis runs through the five AI tools he genuinely cannot work without right now, and the list has shifted since he last covered it. MidJourney holds on by a single use case, Fathom earns its place as a non-negotiable for every call, and ChatGPT makes a surprise return to the top three after a spell in the wilderness. Claude slips from number one to number two following a pattern Andrew has been tracking for weeks, where the model ignores trained instructions rather than following them. And sitting at the top, unchanged, is Whisper, the voice dictation tool Andrew credits as the single biggest daily time-saver in his toolkit. Subscribe to In AI Nutshell for a daily ten-minute update on what is actually worth using, from someone running these tools in real client work every day.

Andrew Miles Davis is back after the Easter break with three Cool Tools Tuesday picks, led by Suno 5.5's new voice cloning feature that lets you record your singing voice and use it to generate songs in any style from grime to opera. He also covers Adobe Firefly's free AI image upscaler, which he rates as one of the most reliable free options for restoring and enhancing older or lower quality images without distorting the original. The third tool is Air Music, a platform with a range of music generation features including instrumental creation, vocal removal, and a paid music video generator that is worth knowing about if you regularly work with AI-generated audio. Subscribe to In AI Nutshell for three new tools every Tuesday, explained in plain language with real use cases.

Andrew Miles Davis kicks off a new series designed to answer the question that comes up in almost every training session he delivers, which is not how a tool works but what it is actually for. Starting with AI music generators like Suno, Udio, and Producer AI, he breaks down five genuine business use cases including using AI-generated music as a content bed, running creative split tests in paid ads, repurposing video content across platforms with tailored soundtracks, and making internal presentations land better with music that actually gets attention. The standout example comes from a FIFA session where the exercise produced a song a national women's football team adopted as their own. Subscribe to In AI Nutshell for daily ten-minute episodes that move past the hype and focus on what AI can actually do for your work.