In A(i) Nutshell

Andrew Miles Davis covers three tools on this week's Cool Tools Tuesday, leading with 11 Music, the new platform from 11 Labs that combines AI music discovery, creation, and remixing in one place, letting users take any AI-generated track and transform it into a completely different genre without any copyright complications. He also reviews HiNote AI, a note taker that pulls together features from tools like Notebook LM and Fathom into a more focused daily-use interface, accepting everything from PDFs and audio recordings to YouTube videos and web pages before summarising them however you need. The episode rounds off with Zight, the screen recording tool Andrew has relied on for six or seven years under its previous name Cloud App, now updated with AI transcription, annotation, and summary features that make it more useful than ever for anyone creating training content or documenting their work. Subscribe to In AI Nutshell for three new tools every Tuesday with honest verdicts from someone using them in real work.

Andrew Miles Davis opens May with a news episode covering one of the most significant shifts he has been predicting for months, Google moving Gemini to a credit based system and what that signals about the end of the unlimited free AI era that has defined the last two years. He also covers Taylor Swift trademarking her voice and specific phrases to legally challenge AI deepfakes, WWE confirming it is using AI and fan data to shape storylines and championship arcs, and an NFL quarterback publicly endorsing an AI cardiovascular screening tool that detects blockages years before symptoms appear. The episode rounds off with Tinder rolling out iris scanning to verify users are human, China blocking Meta's two billion dollar acquisition of Manus to keep AI built by Chinese founders out of American hands, and Google testing a conversational AI search layer inside YouTube. Subscribe to In AI Nutshell for the AI news that matters to marketers, every Friday in ten minutes.

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 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 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 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 opens April with a look at three things he is genuinely excited about this month, starting with his new Mac Mini which he bought primarily to properly test Claude's Cowork desktop agent feature and explore real use cases he can teach. He reflects honestly on missing his YouTube goals two months running, explains the echo problem in his new studio space, and sets out why this month feels different. The headline announcement is a two day AI training course he is delivering in partnership with the National Film and Television School and Amazon Prime, running across Cardiff, London, Glasgow, and Leeds, marking the longest AI course he has ever delivered. He also celebrates passing 600 podcast episodes and sets his sights on reaching 900 by the end of the year. Subscribe to In AI Nutshell for daily ten minute AI updates from someone who tests everything before he teaches it.

At the end of every month, Andrew breaks down the three AI tools he has actually used the most, and this month marks a notable shift with ChatGPT dropping off the list entirely for the first time as Claude takes over as his primary large language model. He explains why he is still in the honeymoon period with Claude, what he has been testing with the Cowork feature, and why the patience he extends to a newer tool reveals something important about trust and consistency in AI. Perplexity holds its place as his go-to for reliable answers, and MidJourney version 8 earns its spot purely on the strength of its stylisation capabilities for presentation work. Subscribe to In AI Nutshell for a daily ten minutes of practical AI insight from someone using these tools in real client work every day.