In A(i) Nutshell

Andrew Miles Davis answers three questions from recent training sessions, including one from a 150-person session with the National Film and Television School, YouTube, and the BBC. He addresses whether AI note takers fabricate information due to a lack of detailed prompts, explaining his own workflow of extracting specific insights from transcripts using trained Claude prompts rather than relying on default summaries. He then tackles a genuinely important question for content creators, whether AI-generated content will all start to sound the same, using his belt system analogy to explain the difference between generic white belt prompting and black belt prompting that incorporates lived experience no AI can replicate. The episode closes with a thoughtful answer to whether children should be taught AI in schools, where Andrew's concern lands less on whether it should happen and more on who is actually equipped to teach it. Subscribe to In AI Nutshell for daily ten-minute episodes built around the questions real people are asking about AI right now.

Andrew Miles Davis draws on his own history working at MySpace during its peak to ask a question he has been chewing on in offline conversations for a while: is ChatGPT the new MySpace? He argues that large language models, however impressive, are fundamentally a stopgap technology that teaches people how to talk to AI, while the real shift everyone is actually waiting for is AI agents that take action rather than just give answers. Drawing parallels to MySpace's rapid rise from 2006 and equally rapid decline by 2009, he explores whether chatbots represent the first chapter of a much bigger story rather than the destination itself, and what that means for how businesses and individuals should be thinking about their AI strategy right now. Subscribe to In AI Nutshell for daily ten-minute episodes that connect AI's present to digital history and what comes next.

Andrew Miles Davis gives his most direct verdict yet on the five large language models he pays for, covering ChatGPT, Claude, Copilot, Gemini, and Perplexity with an honest breakdown of what each one does well, where each one falls short, and when he actually reaches for it during a working day. He explains why ChatGPT remains his default despite its tendency to agree with him too much, why Claude is the one AI practitioners tend to name as their top choice but still frustrates him with its memory inconsistency, why Gemini's surrounding ecosystem is more impressive than the model itself, how Copilot has won him over this year through deep work with corporate clients, and why Perplexity is his first stop for any question where he needs a trustworthy answer. The episode closes with a conclusion worth sitting with: there is no single best large language model, only the best one for the specific job in front of you. Subscribe to In AI Nutshell for daily ten-minute AI insight from someone using all of these tools in real client work every day.

Andrew Miles Davis covers two practical editing tools and one deliberately silly one on this week's Cool Tools Tuesday. Image Combiner AI lets you upload up to nine images, write a combined prompt, and get a single merged output, useful for anyone working with multiple source images and wanting to composite them without opening a full design suite. AI Voice Cleaner is a free background noise removal tool with echo reduction that Andrew is considering as a replacement for Adobe Enhancer given his ongoing studio echo problem. The third tool is a Chrome extension that replaces every instance of the word AI on any web page with a poop emoji, built by someone who likes AI but is tired of seeing it crammed into everything nobody asked for, and who used AI to make it. The episode also covers the US government's decision to restrict access to Claude's new Fable model to American users, and what Andrew thinks that might signal about where AI geopolitics are heading. Subscribe to In AI Nutshell for three new tools every Tuesday with honest verdicts and the occasional detour.

Andrew Miles Davis covers one of the most news-heavy weeks of the year, opening with Anthropic releasing Fable Five, the first public model from its new Mythos class, the same family as the model considered too dangerous to release publicly earlier this year. He then covers a developing AI price war as Google drops its cheapest Gemini plan to five dollars a month and OpenAI signals it is considering significant price reductions in response. Other major stories include ChatGPT integrating directly with Gmail and Outlook so users can draft and send emails without leaving the platform, Apple overhauling Siri into a full conversational AI at its WWDC conference, Google admitting in court that music uploaded to YouTube can be used to train its Lyra music model without paying artists, the EU ordering Meta to open WhatsApp to rival AI platforms, China forcing Meta to unwind its two billion dollar Manus acquisition, and MidJourney sending out invites for a mystery hardware launch with no details attached. Subscribe to In AI Nutshell for the AI news that matters to marketers, every Friday in ten minutes.

Andrew Miles Davis delivers the second instalment of his series on why the golden era of AI is coming to an end, this time focusing on regulation, or more precisely, the current absence of it. He argues that the lack of oversight, while genuinely dangerous in some contexts, is also one of the defining features of the current window of opportunity, because once a regulatory body forms, whether that is governments, tech companies, or large corporations, it will be shaped by whoever holds the power, and that will change how the rest of us get to use these tools. He walks through the realistic candidates for who could regulate AI, explains why each option carries its own serious problems, and lands on the conclusion that the decision made in the next few years will not just determine what AI can do but who gets to decide what ordinary people can do with it. Subscribe to In AI Nutshell for daily ten-minute episodes that stay honest about where AI is actually heading.

Andrew Miles Davis returns to his training insights series, sharing the two things he is seeing come up most consistently in corporate training sessions right now. The first is discoverability in AI, specifically how brands, freelancers, and organisations can get cited or mentioned inside ChatGPT, Claude, Gemini, and Copilot when someone asks a relevant question, a shift he describes as the most significant change to search in over twenty years. He walks through the basics of GEO and why Google's EEAT framework is still the foundation, shares a story of a global company finding him through ChatGPT after he optimised his own website, and explains why this topic is now appearing in every training session he delivers. The second trend is stylisation in presentations, covering how to train AI image tools to a consistent visual style and why more clients are asking about it after seeing his decks. Subscribe to In AI Nutshell for daily ten-minute episodes built around what is actually happening in AI training rooms across the UK right now.

Andrew Miles Davis delivers three prompt hacks built around a single observation that keeps coming up in his training sessions, that the people getting the most from AI are not the ones using it to produce more content, they are the ones using it to think better. The first prompt reframes a fear into a growth opportunity and asks for a pep talk in your own style, drawing on the idea that most fears beyond falling and loud noises are learned and therefore reversible. The second, borrowed from Reddit, asks AI to debug your thinking on any subject by identifying blind spots and logical leaps in your reasoning before you act on it. The third is a preparation prompt Andrew uses in his own teaching work, asking AI to strip a complex subject down to the three points you absolutely cannot afford to miss, borrowing from media training logic that has served him since his days in the music industry. Subscribe to In AI Nutshell for prompt hacks every other week and daily ten-minute AI insight built for marketers who want to think differently.

Andrew Miles Davis covers three tools on this week's Cool Tools Tuesday, anchored by a question he finds himself asking more and more when he comes across new AI products: is this a genuinely differentiated tool or just something ChatGPT could replicate with a good prompt? He uses Thumbnail Creator as the case study, explaining what it does well while being direct about why he is not sure how tools like this survive long-term. He then covers Umind, a database of thousands of curated image prompts sorted by platform and style that lets you find a look you like, copy the prompt, and adapt it rather than starting from scratch. The episode closes with Just Hire Me, a job hunting platform that works like a CRM, filtering and ranking opportunities, drafting CVs and cover letters, and handling outreach on the user's behalf. Subscribe to In AI Nutshell for three new tools every Tuesday with honest verdicts from someone who will tell you when something is not worth paying for.

Andrew Miles Davis covers a week of AI news that has real implications for anyone working in marketing, starting with new data showing LinkedIn is now the second most cited source in AI chatbot answers for B2B queries, with plain text posts and articles making up 83% of all platform citations pulled by major AI models. He connects this directly to the news that OpenAI is rolling out mid-conversation advertising to the UK, Brazil, Japan, and other markets in the coming weeks, raising questions about what it means to share personal and professional information on what is becoming an ad platform. He also covers Uber burning through four years of AI budget in four months via Claude Code, China restricting overseas travel for private sector AI professionals it now considers national strategic assets, Goldman Sachs reversing its own research by claiming AI job displacement fears are overblown, Samsung chip workers winning a landmark wage deal tied to AI profits, and a South Korean YouTuber facing arrest for using AI to fabricate evidence that destroyed an actor's career. Subscribe to In AI Nutshell for the AI news that matters to marketers, every Friday in ten minutes.

Andrew Miles Davis answers three questions from recent training sessions, starting with a simple one about why he keeps reaching for ChatGPT Images over Midjourney even though he pays for both, and giving a direct answer that draws a clear line between what each tool is actually best at. He then tackles the question he is increasingly getting in every training room, how to get content found inside AI platforms like ChatGPT, Claude, and Gemini rather than just Google, explaining the shift from SEO to a probability-based visibility model and the three things every marketer should be tracking. The episode closes with the question that never stops coming up, how to actually make money with AI, and Andrew's honest answer about why short-term plays are rarely sustainable and what the medium to long-term approach actually looks like. Subscribe to In AI Nutshell for daily ten-minute episodes built around the questions real marketers are asking right now.

Andrew Miles Davis returns to his most popular talk format for another instalment of the good, the bad, and the ugly of generative AI. The good covers strategic planning, explaining how AI handles frameworks around vision, objectives, resources, goals, strategy, and tactics better than most people realise, and why this applies as much to planning a holiday as it does to running a business. The bad goes to the skill gap, arguing that the window to start learning AI without facing serious catch-up pressure is closing fast, and that unlike most learning curves, this one does not level off because the AI itself keeps advancing alongside the people using it. The ugly lands on attention hijacking, covering how AI-powered feeds are increasingly used to manipulate what people see, think, and feel at scale, with political and social consequences most people are experiencing without recognising the mechanism. Subscribe to In AI Nutshell for daily ten-minute episodes that give you the honest picture of where AI is heading.

Andrew Miles Davis answers 11 randomly generated questions covering AI, digital marketing, and things you would not find on his website, including the most unnecessary purchase he has made recently, the marketing metric he thinks people obsess over despite it mattering less every year, and the strangest complaint he has ever received from a client that came because something worked too well. He also shares which AI tool he thinks will dominate in 12 months, why he considers not going all in on AI during the golden era to be the biggest mistake brands are making right now, and the one thing AI still cannot do properly in his opinion. Subscribe to In AI Nutshell for daily ten-minute episodes covering AI and digital marketing from someone who has been in the industry for 25 years and still finds the random questions episodes the easiest ones to record.