Explore every episode of the podcast In A(i) Nutshell

Andrew Miles Davis covers a week of AI news led by entertainment, starting with Nicolas Cage refusing to sign an AI waiver connected to an Amazon Spider-Noir series. He suggests the stance could mean Cage does not work with the studio again, and asks whether other actors will face the same choice. He also covers the backlash to the Kardashians using AI generated imagery in the opening of their eighth season, with Khloe Kardashian pushing back and saying people should watch the whole sequence before judging it. Andrew uses it to show how using AI can now become a reputational issue, and how people often react to a clip rather than the full story. Other stories include Sony Music asking for more than a quarter of a million AI tracks impersonating artists to be removed, a number that has doubled in six months, and Anthropic updating its usage policy to prohibit sustained unnecessary cruelty towards its AI models. He covers Joseph Gordon-Levitt's concern that AI companies could profit from encouraging emotional relationships with chatbots, McDonald's facing a lawsuit over claims that AI pricing tools coordinated prices between independent restaurants, and Google research in which an AI system interviewed 98 patients before urgent care appointments. Doctors said the summaries helped them prepare in 75% of cases, and the suggested diagnosis matched the final one 90% of the time. Subscribe to In AI Nutshell for the AI news that matters to marketers, every Friday in ten minutes.

Andrew Miles Davis explains why personal AI agents, such as Meta's Muse and Grokbot, are the biggest shift in generative AI right now. He sets out three stages. Chatbots wait for you to ask. Do-it-yourself agents such as ChatGPT work or Claude Code work across your files and apps. Personal agents are proactive and notice things before you ask, such as spotting tomorrow's meeting and pulling together previous conversations and the latest news about the company. He argues the old assumption was that AI gets more useful when you get better at telling it what to do, and the new one may be that it gets more useful when it knows enough about you that you do not have to. He is open about the trade-offs, covering privacy, security and control, plus the lock-in risk of spending two years teaching one agent how you work. His practical advice is to skip the question of which agent to sign up for and ask what you would actually want AI to notice, starting with the things you repeatedly remember, monitor or discover too late, such as an unpaid invoice. He closes by saying the real advantage becomes judgement about what AI should know, watch and act on. Subscribe to In AI Nutshell for daily ten-minute episodes on where AI is really heading.

Andrew Miles Davis resets his prompt hacks series around one idea, that what you add to the end of a prompt now matters more than the prompt itself, because endings give the model the context it needs. He compares this to how hooks replaced headlines in content marketing, and argues prompt endings will become the next thing everyone talks about. He shares three endings with real examples. The first asks for up to five clarifying questions before the final response, which turned a vague request for a fitness plan into one built around his goals, ability, time and equipment. The second tells the AI to stop and ask if any part of the request is ambiguous, which caught that a five day holiday in Italy was far too broad. The third asks for a brief outline and approval before writing a long piece, which let him shape a seven day meal plan before it was built. He ties all three back to his AI sandwich and points listeners to his prompt endings page on his website. Subscribe to In AI Nutshell for prompt hacks twice a month and daily ten-minute AI insight.

Andrew Miles Davis covers three tools on week 83 of Cool Tools Tuesday. He starts with Note It Hub, which takes a long chat, finds the to dos scattered through it, and turns them into one list, solving the problem of good ideas getting lost across separate conversations. He then covers Claude's new add-on for Google Workspace, which brings AI into Sheets in the way Copilot does for Excel, with the same catch that even simple tasks can take up to a minute, so it earns its place on complicated jobs rather than quick ones. He closes with Google's SynthID, a tool for identifying AI generated content, and uses it to raise the bigger question of where the line sits between AI generated and AI edited, arguing the line matters more than the label because the real concern is being manipulated. Subscribe to In AI Nutshell for three new tools every Tuesday with honest verdicts from someone testing them in real work.

Andrew Miles Davis answers eleven randomly generated questions in his favourite monthly format. On the AI side, he says the job he would be most nervous about AI doing is any role where a wrong answer lands on him, because AI will never care if it gets it wrong, so it can advise him but never decide. He also says Apple is the brand he most wants to see fix its AI, since anyone in the Apple ecosystem would benefit, and he adds that he is fine with the hardware but not the prices. On the personal side, he tells the story of being given the honeymoon suite at a hotel in Portugal, shares what a ten day silent Vipassana retreat with no phone was really like, and recalls a stranger on a beach telling him he was a fantastic dad. Other answers cover the best domain name he knows of, the fictional worlds he would visit for a week, why he refuses to pay full price for a car, and the ridiculous event he would add to the Olympics. Subscribe to In AI Nutshell for one of these unscripted, unfiltered episodes every month alongside daily ten-minute AI insight.

Andrew Miles Davis covers a week of AI news that mixes useful new features with some uncomfortable warnings. He leads with ChatGPT's new Intelligent UI, which decides how best to answer and can show interactive results while it is still researching in the background. He also covers Google's Playground, which lets you describe a game in plain English and share or publish it, though for now it is limited to adults in the US. Andrew then covers the story of a California woman who spent five and a half hours on the phone with a scammer using a cloned version of her daughter's voice, sending $5,400 in four transfers before discovering her daughter was at work. He explains why he has agreed a safety question with his own family that only they would know. Other stories include an update to Meta's Muse that builds a page on every person in your life, including people who never signed up, Audioball's plan for interactive audiobook stories where you can talk to the characters, and an author whose book on AI and truth was found to contain 26 quotes that did not stand up after AI tidied his original wording. Subscribe to In AI Nutshell for the AI news that matters to marketers, every Friday in ten minutes.

Andrew Miles Davis uses a BBC story about a 21 year old graduate who spent £30,000 on a content creation degree to ask a bigger question about AI learning. If you spend hours mastering a tool that changes a month later, what exactly did you pay to learn? He argues that access to information and actual learning are not the same thing, and shows how skills turn into features, then buttons, then a single sentence, using infographics and elaborate prompt formulas as examples from his own 15 years of training. He introduces the disappearing tool test, which separates tool knowledge from transferable knowledge such as explaining problems, questioning answers, and knowing when your own judgement should override AI. He ties it back to his time at MySpace, where the platforms vanished but the problems of attention, understanding people, and selling survived. Subscribe to In AI Nutshell for daily ten-minute episodes on what is actually worth learning.

Andrew Miles Davis answers three questions from recent training sessions and keynotes. He starts with whether your next manager could be AI, concluding that it could handle functional work like allocating tasks, tracking performance, and analysing data, but that accountability is the real barrier, since you cannot discipline or hold an AI personally responsible when something goes wrong. He then explains how to make AI forget something you have told it, focusing on temporary chat modes found in ChatGPT, Claude, and Copilot, while warning that temporary does not necessarily mean no record exists, so confidential company information should never be treated as safe. He also mentions deleting saved memories in settings and asking the model not to remember as alternatives. The episode closes with the question he hears in almost every workshop, which single AI tool he would pick, and his answer that there is no single best tool, only the right tool for what you are trying to do. For him that means ChatGPT and Whisper Flow, for stylisation-heavy presentation work it would be Midjourney, and for video producers it would likely be Seedance. 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 marks week 82 of Cool Tools Tuesday by revisiting Napkin AI, a visual graphics tool he first covered in episode two, which has found new relevance with a presentation feature. It asks how many slides you want, offers four options per slide, follows your chosen style as it goes, and gives more control than prompting a whole deck in Copilot or ChatGPT. He then covers Ahrefs' free AI visibility checker, long known for SEO, which shows how many times a brand is mentioned across ChatGPT, Perplexity, Copilot, AI Overviews and AI Mode, plus top topics, most cited domains and most popular pages, and he tests it on a company he trains for. The episode closes with GPT Watermark Remover, a free tool that detects and strips invisible characters such as zero-width spaces from text pasted out of AI chat tools, useful for anyone worried that hidden markers could trigger AI detection or cause formatting issues. Subscribe to In AI Nutshell for three new tools every Tuesday with honest verdicts from someone testing them in real work.

Andrew Miles Davis argues that the real story behind OpenAI's new $500 a month ChatGPT plan is not the price itself but the reduced allowance quietly applied to the existing $200 tier, and what that signals for everyone further down the ladder. He sets out three ways of paying for AI emerging in parallel, with money, with advertising, or with reduced access, and warns that features currently usable for free may gradually move behind subscriptions. He explains why this matters more than a Netflix-style tier split, since better AI is an economic capability rather than a nicer evening in front of the television, and walks through how to judge whether a pricier plan is worth it by asking what it would let you do and whether you can put a financial value on that difference. The closing advice is practical: use the cheap era to experiment hard, build real workflows, make the mistakes now, and avoid waiting for AI to improve or for a company strategy before starting. Subscribe to In AI Nutshell for daily ten-minute episodes tracking exactly how and when the golden era of affordable AI ends.

Andrew Miles Davis covers a week of releases that somehow topped the previous one, led by OpenAI launching Dot, an always-on assistant that takes action rather than just answering, positioned as a direct response to Meta Muse overtaking ChatGPT as the most downloaded app. He breaks down OpenAI's new $500 a month tier, more than double its previous top plan, framing it as confirmation of a pricing trajectory he has predicted for over a year where the $20 tier eventually offers what free currently does. Other releases include Claude's new Sonnet 5.5 model, which is already performing impressively enough that Andrew plans to test it against his usual Opus setup, Kling 4.0 re-entering the AI video race against Seedance, Eleven Labs releasing version four, Copilot introducing its own coding tool to compete with Codex and Claude Code, Fireflies launching a Whisper-style universal dictation feature, and Gemini's upcoming move to replace Gems with universal skills compatible across models. He also covers Apple raising phone prices partly due to AI-driven chip and memory shortages, Reid Hoffman criticising the tech sector's apocalyptic AI messaging, an Ofcom report showing 21% of UK adults now use tools like ChatGPT as a primary news source despite lower trust than traditional journalism, and Google's publisher payout test revealing that most media outlets are recovering less than 0.1% of lost referral revenue. Subscribe to In AI Nutshell for the AI news that matters to marketers, every Friday in ten minutes.

Andrew Miles Davis opens October by reviewing a genuinely productive September, where a return to full training routine, quiet progress developing the Story Lens into proper intellectual property, and a 21-day daily LinkedIn video run all delivered on what he had hoped for. For October he sets out three priorities, starting with finding the right YouTube format after three attempts, a talking head episode, then two use case videos that were useful but not entertaining, landing on a plan to aim for genuine edutainment rather than pure utility. On LinkedIn he is scaling back from daily posting to a more sustainable weekly rhythm of one FAQ video and one step-by-step tutorial, filling remaining days with curated content and, in a habit he openly admits he has neglected, actually posting about his own keynotes and training sessions. The third focus is pushing agentic AI tools like Muse and Codex properly, setting two or three genuinely significant tasks with a clear end goal rather than spreading himself across too many half-finished experiments, a pattern he is consciously trying to avoid this time. Subscribe to In AI Nutshell for daily ten-minute AI insight from someone building all of this in real time.

Andrew Miles Davis wraps up September with his monthly tool review, led by Meta's Muse, an agentic assistant he had held off testing for a while given his earlier frustration with Open Claw, which he had bought a Mac Mini for specifically and ultimately abandoned due to complexity. Muse's WhatsApp and iMessage style interface removed that friction entirely, and after pushing it with increasingly difficult tasks he found it succeeding roughly 80% of the time, enough that he says he would genuinely pay for it once the current free access ends, provided the same capability isn't matched elsewhere in tools he already pays for. Claude Design returns for a second consecutive month, credited as the driving force behind a 21-day daily LinkedIn video challenge where motion graphics that would previously have required outsourcing now take seconds to produce. Copilot in Excel also holds its place, now underpinning nearly every operational spreadsheet in Andrew's business from podcast tracking to LinkedIn planning to daily habit discipline, run consistently across both his Mac Mini and laptop. 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 covers three quick, self-explanatory tools on week 81 of Cool Tools Tuesday. He starts with Canva's AI Title Generator, a feature surfaced by an attendee in a recent training session who found it genuinely useful for brainstorming hooks and headlines, though Andrew personally still prefers training a large language model directly for that level of control. He covers Good Vibes, a free Chrome extension that lets users specify exactly what they never want to see across platforms like X, Reddit, LinkedIn, and YouTube, then quietly filters it out of the feed, offering both a capped free tier and an unlimited option via a Typesafe API key. The episode closes with IrisAgent, a personal AI assistant built around iMessage that connects apps like Slack, Notion, and Gmail so tasks can be delegated by text, which Andrew frames as an early signal of the agentic assistant trend he has been predicting will become mainstream by 2027, pointing to Meta's Muse as further evidence that these tools succeed by working inside interfaces people already know how to use. Subscribe to In AI Nutshell for three new tools every Tuesday with honest verdicts from someone testing them in real work.

Andrew Miles Davis ranks the five large language models he pays for as of 28 September 2026, after being asked the question twice in a single week. Gemini lands at number five, strong in its wider Google ecosystem but still weak as a standalone model for how he works, with YouTube handling as its one clear advantage. Copilot takes number four on the strength of its native integration with Excel, Word, and PowerPoint, which he now considers a game changer for spreadsheet formulas and document building, despite occasionally taking longer than doing the task manually. Claude sits at number three purely because of Claude Design, which he says has transformed his ability to create motion graphics for LinkedIn video, while its memory inconsistency and habit of either forgetting or over-obeying training instructions is why it would be the first cut if budgets tightened. Perplexity takes number two as his first port of call for research and trustworthy answers, and ChatGPT holds number one thanks to the combined strength of its chat, work mode, and Codex. He also flags Meta's Muse as a likely top three contender in six months once the honeymoon period passes. Subscribe to In AI Nutshell for daily ten-minute episodes that tell you honestly which tools earn their place in a real working week.

Andrew Miles Davis covers what he calls the busiest AI news week of the year, opening with an unprecedented wave of simultaneous releases from OpenAI's GPT 6 Sol and GPT 6 Lunar, Anthropic's Opus 5.5, Grok 4.7, a new Gemini model, and a major Meta conference covering AI glasses, Muse, and VR, alongside significant updates from Eleven Labs, Runway, and Midjourney. He covers a new LinkedIn ghostwriter economy emerging as AI makes polished posts cheap to produce, with one study estimating 81% of long LinkedIn posts in July were likely AI generated, and highlights growing scientific debate about whether advanced AI systems could develop something resembling internal experience worth ethical consideration. Other stories include a UK startup raising £20 million to recreate concerts using hyper-realistic digital avatars of artists, Andreessen Horowitz launching a practical AI-focused alternative to traditional college, the first entirely AI-produced British sitcom landing on YouTube to a genuinely split reception, and a significant controversy around Meta's Muse customer service platform after it emerged some responses marketed as AI voice were actually being handled by humans at a third party company. The episode closes with Muse reportedly growing faster on mobile than ChatGPT's early launch period due to its embedded position across WhatsApp, Instagram, and Facebook, its new shopping agent capability working smoothly with Shopify, and Amazon blocking it outright over concerns around credential capture and terms of service violations. Subscribe to In AI Nutshell for the AI news that matters to marketers, every Friday in ten minutes.

Andrew Miles Davis tackles what he considers a genuinely pivotal moment for the golden era of AI, OpenAI's newly published proposal for conversational advertising inside ChatGPT, despite Sam Altman previously calling advertising an aesthetic disaster. He deliberately argues both sides, acknowledging that sponsored suggestions appearing at the exact moment of highest intent, such as a labelled airline offer within a travel itinerary someone can then question in plain English, could genuinely be the most powerful advertising format ever built. He then makes the case against it, walking through the well-worn pattern of Google and Facebook, both of which launched with promises of minimal, transparent advertising before becoming saturated with it once growth slowed and shareholders got involved. Andrew's central concern is a psychological one specific to conversational AI, that people treat a chatbot's answer as a conclusion from an advisor rather than a list of options from a directory, meaning the introduction of paid influence fundamentally changes trust in a way search advertising never did, since users have spent two decades learning to spot ads in a list of links but have no equivalent instinct for spotting influence inside a single confident answer. Subscribe to In AI Nutshell for daily ten-minute episodes tracking exactly how and when the golden era of free, unbiased AI actually ends.

Andrew Miles Davis returns to frequently asked questions after focusing on daily LinkedIn video content for the past few weeks, tackling three questions from recent sessions. He gives a genuinely nuanced answer to whether AI can reduce workplace stress and burnout, arguing that while AI can technically free up hours of time, expectations tend to rise to fill the gap, meaning burnout risk may actually increase unless people deliberately manage their own workload, sharing his own interval-based working method built originally around his RSI that now doubles as a mental wellbeing tool. He clarifies a common misunderstanding about processing speed, explaining that cloud-based AI generation happens on the provider's servers regardless of the user's own device, with local hardware and internet connection affecting perceived speed rather than the actual generation itself. The episode closes with a straightforward recommendation of Eleven Labs as his go-to tool for AI-generated sound effects. 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 marks 80 weeks of Cool Tools Tuesday with three picks, leading with Meta's Muse, an agentic AI tool built into a WhatsApp-style messaging interface that finally solves a problem he has struggled with for years, connecting AI directly to Apple Notes so scattered notes across folders can be searched, combined, and queried naturally. He covers his first genuinely positive experience with the newly updated Siri, contrasting a frustrating initial test asking for the weather with a much smoother experience retrieving information from Apple Notes the next morning, while noting it still interrupts mid-sentence in a way that lags behind competitors. He also covers a free video generator from There's An AI For That, which produced what he rates as the best result yet on his standard test prompt with sound included and no watermark, and closes with Sherpa by Pocket FM, a fiction-focused collaborative story development tool currently running a $200,000 writing contest, useful for turning a loose creative idea into a structured storyboard though limited strictly to fictional content. Subscribe to In AI Nutshell for three new tools every Tuesday with honest verdicts from someone testing them in real work.

Andrew Miles Davis goes deeper into a story he first covered on the Friday news, three novice hikers stranded overnight on Mount Shasta after relying heavily on Gemini for route planning, gear advice, and nutrition, and finds the full story more revealing than the headline suggests. Gemini reportedly gave them a noon turnaround time, information they ignored entirely, continuing to climb until 7pm before descending in darkness, wandering off route, injuring a knee, losing phone navigation, and running out of water. Andrew rejects both easy conclusions, that AI is useless or that AI had nothing to do with it, arguing the real lesson is about where delegation ends and personal judgement must take over, connecting this directly to his four Ds framework of do, delay, delegate, and delete. He argues that the skill that matters most going forward is not better prompting but knowing precisely what you are prepared to hand over to AI and what decision must always remain yours, particularly when the consequences of being wrong are serious. Subscribe to In AI Nutshell for daily ten-minute episodes that go beyond the headline into what these AI stories actually teach us.

Andrew Miles Davis argues that when using AI to generate names for products, services, or campaigns, most people make the same mistake by asking for more options rather than building a better way to judge the options they already have. He outlines a four-part naming brief covering the product, the audience, the desired outcome, and the point of difference, arguing this alone produces better results than a vague request generating fifty forgettable names. Drawing on a real workshop example where a name loved by the room turned out to mean something offensive in another language, unnoticed by everyone except one person who spoke it, he demonstrates why the next step should be asking AI to attack its own suggestions, surfacing unintended meanings, generic overlap, and confusion risk before any name gets chosen. He connects this to his Story Lens method's exposure stage, arguing that a weak name often reveals an unclear understanding of positioning rather than a naming problem itself, and closes with the central lesson: never ask AI what is best without first establishing best according to what, since criteria must exist before judgement can happen. Subscribe to In AI Nutshell for daily ten-minute AI insight and to the YouTube channel for the full video breakdown with live examples.

Andrew Miles Davis leads this week with a genuinely alarming story from Mount Shasta, where three hikers ignored official safety guidance to turn back by midday after receiving conflicting information from Gemini, resulting in an injury, dead navigation devices, and a night stranded on the mountain waiting for rescue, with the hikers themselves admitting they relied too heavily on AI over their own critical thinking. He also covers OpenAI officially confirming advertising is coming to ChatGPT, a development he has been anticipating and dreading for nearly three years as a signal that the current ad-free era of large language models is ending, drawing a direct parallel to how Facebook's feed evolved once advertising took hold. Other stories include a former TikTok executive's AI photo-coaching app built after her husband's inability to take a decent picture, the official trailer for Artificial starring Andrew Garfield as Sam Altman landing around Christmas, Reddit's research showing AI is making holiday shopping more conversational while community trust still outweighs polished product pages, Adolescence co-writer Jack Thorne raising concerns about screenwriters passing off AI-generated scripts as their own without addressing who trained the underlying models, and a Lancashire company using AI-powered sorting machines to rescue 25 million Lego bricks from landfill for cleaning and resale. Subscribe to In AI Nutshell for the AI news that matters to marketers, every Friday in ten minutes.

Andrew Miles Davis returns to pet peeves for the first time since July with three genuinely fresh frustrations. He starts with training projects and chats in both ChatGPT and Claude, describing hours spent uploading detailed source material only for both models to confirm they can see the information and then ignore it entirely when generating output. He then tests ChatGPT's sycophancy directly, deliberately contradicting himself about a simple fact and watching the model agree with every version regardless of accuracy, contrasted against Claude going too far the other way by rigidly refusing to budge from an outdated goal Andrew had since changed elsewhere. The most costly frustration involves Codex repeatedly failing to fix a teleprompter mirroring issue between his laptop and iPad, making the problem worse with each attempt before running out of credits entirely, a experience Andrew compares to hiring a plumber who breaks something further and then walks off once the paid hours are up. Subscribe to In AI Nutshell for daily ten-minute episodes that tell you honestly what using AI is actually like, frustrations included.

Andrew Miles Davis marks the third anniversary of In AI Nutshell by reflecting on what daily podcasting has actually taught him rather than covering the latest news or tools. He traces the idea back to abandoned attempts at daily video content in 2010 and an early influence from 50 Cent's relentless mixtape output, and shares the surprising discovery that finding something to say every day was never the real challenge, deciding what to focus on was. He weighs the trade-off between audio's consistency and relationship-building strength against video's greater reach, acknowledging he could have grown faster on video but doubts he would have sustained three years of daily output the same way. Looking ahead, Andrew announces a shift in emphasis for the podcast's fourth year, moving beyond tools and prompting mechanics toward judgement, decision-making, and how people navigate ongoing change, tying this directly to his Story Lens method, a framework built around the "stranger comes to town" story structure that he has developed and delivered for over a decade and will be focusing on much more heavily going forward. Subscribe to In AI Nutshell for daily ten-minute AI insight, now heading into its fourth year.

Andrew Miles Davis marks 79 weeks of Cool Tools Tuesday with three specialist tools, starting with ClerkAI, a bookkeeping assistant that prepares accounts for accountants by matching bank transactions to receipts, flagging missing documentation, and drafting communications, all with double opt-in confirmation before touching any login-protected accounts. He covers Music Prompts by Scholarsail, a free tool that builds structured music generation prompts for platforms like Suno and Udio by walking through genre, mood, and energy selections, which Andrew tests with a UK garage prompt and rates as a genuinely solid result for something built entirely from dropdown menus. The episode closes with Magic Tellers, a colouring page and activity generator for kids that turns uploaded photos or text prompts into printable black and white colouring sheets, alongside maze generators, crossword makers, and other activity tools useful for teachers, parents, or anyone working with children. Subscribe to In AI Nutshell for three new tools every Tuesday, some built for daily use and some genuinely niche, but all worth knowing about.

Andrew Miles Davis breaks down a productivity system he has used and taught for years but never fully explained in detail, built around four decisions for anything that lands on a to-do list: do, delay, delegate, or delete. He draws on Stephen Covey's urgent and important matrix to explain how items within the do category still require prioritisation, using his own test of what would not let him sleep at night. He argues delay is often mistaken for procrastination but works as a genuine productivity tool when paired with a system that guarantees the task actually resurfaces later. Delegation gets a modern update, covering both handing work to people and increasingly to AI, with Andrew encouraging listeners to practise identifying which steps of a workflow genuinely need human involvement now, ahead of a future where AI agents handle far more autonomously. He closes on delete as the hardest and most disciplined choice, sharing his own decision years ago to deliberately drop Google AdWords from his skillset entirely rather than trying to do everything. Subscribe to In AI Nutshell for daily ten-minute episodes covering how to actually think about productivity in an AI-driven world.

Andrew Miles Davis covers a genuinely massive week in AI news, opening with OpenAI's double release of ChatGPT 6 Astra, already being called the most intelligent and aligned model yet for coding, scientific research, and complex agent tasks, alongside ChatGPT Images 2.5, which promises 50% faster generation, sharper detail, and significantly improved multi-turn editing that no longer distorts faces across repeated prompts. He covers Apple's AI comeback attempt with a major overhaul of Siri into a dedicated chatbot-style assistant capable of generating images, tempered by the now-familiar pattern of a limited free tier designed to push users toward a paid subscription. Other stories include 11 Labs signing its first major label deal with Universal Music Group to build a licensed AI remix platform, the Seattle Times and Newsday suing OpenAI and Microsoft over alleged unauthorised training on paywalled journalism, an expanded class action lawsuit against Anthropic alleging its $100 and $200 subscription tiers were marketed with usage multipliers that mean far less in practice due to five-hour windows and weekly caps, a widely reported claim from an Anthropic figure about long-term existential AI risk, and Amazon Prime Video launching AI-powered lip-sync dubbing technology starting with a German romance series. Subscribe to In AI Nutshell for the AI news that matters to marketers, every Friday in ten minutes.

Andrew Miles Davis answers eleven randomly generated questions in his favourite monthly format, covering the most memorable being asked what he would never trust AI to choose for him. His answer centres on major strategic life decisions, explaining that when a human decision goes wrong there is at least someone to hold accountable, even if that someone is yourself, whereas an AI carries no such responsibility and leaves you with nowhere to direct the frustration when things go badly. He also touches on how he uses AI as an honesty check for his own goals, asking it to be bluntly honest about gaps between his stated ambitions and his actual behaviour. Beyond AI, the episode covers lighter ground including the most ridiculous thing he has ever queued for, involving a five hour London traffic ordeal caused by closed bridges, memorable adverts he still remembers years later, and the first website he ever regularly visited, an early UK garage and drum and bass forum tied to the London record shop Uptown Records. Subscribe to In AI Nutshell for one of these unscripted, unfiltered episodes every month alongside daily ten-minute AI insight.

Andrew Miles Davis returns to prompt hacks with a shift in focus, arguing that as prompting fundamentals become second nature for most people, the real differentiator is what gets added to the end of a prompt rather than the prompt itself. He shares three foundational endings aimed at clarifying message and tone: asking AI to explain something as if you are a complete beginner with no prior knowledge, which forces the model to build from a genuine foundation rather than assuming existing understanding; instructing AI to adopt a specific tone such as professional, empathetic, and reassuring, which shifts focus toward business outcomes and away from purely technical detail, illustrated with a real example of drafting a complaint email calmly despite personal frustration; and asking AI to avoid industry jargon and acronyms in favour of plain, accessible language, preventing specialist terminology from undermining clarity. He also points listeners to his continuously updated prompt endings guide on his website for further examples. Subscribe to In AI Nutshell for prompt hacks and daily ten-minute AI insight built for marketers who want sharper, more usable answers.

Andrew Miles Davis marks 78 weeks of Cool Tools Tuesday with three tools recommended directly by listeners rather than sourced by him, with no affiliate or sponsorship ties to any of them. Sidelong.app promises to combine research, writing, and publishing into a single workflow, and Andrew flags a personal use case, uploading nearly three years of podcast transcripts to potentially generate that same length of social media content. Olva.ai offers bot-free real-time meeting transcription that records audio directly from a device without needing to formally join a call, positioned as an alternative for people uncomfortable inviting a visible AI assistant like Fathom or Otter into meetings while still wanting the transcript benefits. Jobseeker.com rounds out the three, an AI-powered platform for building CVs, cover letters, and tracking applications that a listener credited with directly helping them land a job, though Andrew notes it currently appears geared toward US and EU users with the UK notably absent from its country selector. Subscribe to In AI Nutshell for three new tools every Tuesday, sourced from what's actually working for real listeners.

Andrew Miles Davis argues that one of the biggest mistakes marketers can make is assuming AI simply lets them do the same job faster, when in fact it is fundamentally shifting where marketing value sits. Drawing on his ten years in the music industry, he compares the emerging marketer role to a music producer, someone whose value lies not in playing every instrument but in knowing what good sounds like and directing the process toward it. He explores what happens to value when production becomes cheap, using music's shift from paid cassettes to free streaming as a parallel, and argues that judgement, taste, and the ability to spot technically competent but boring or off-brand work will matter more than the ability to prompt well. He warns against mistaking polished-looking AI output for genuinely good thinking, and closes with a practical challenge: pick one task you produce repeatedly, like a weekly report or email copy, and start building a process where AI handles more of the production while you focus entirely on the decisions. Subscribe to In AI Nutshell for daily ten-minute episodes exploring where AI is genuinely changing the shape of marketing work.

Andrew Miles Davis covers a week defined by AI facing pressure on multiple fronts, starting with OpenAI's advertising business reaching a billion dollar annualised run rate in under 200 days as self-service ad buying expands across India, Europe, the Middle East, and North Africa, a development Andrew is openly hoping fails given his long-held concerns about ads eroding trust in AI-generated answers. He covers Australia's music industry body barring fully AI-generated tracks from official charts following controversy over an AI-assisted Madonna cover, Sony and Warner suing Anthropic for allegedly torrenting and scraping songs to train Claude and seeking up to $150,000 per song, and the US government weighing in on the New York Times' lawsuit against OpenAI in favour of fair use, framed around not falling behind the rest of the world on AI development. Other stories include Instagram replacing its optional AI creator label with a blunter AI-generated tag that throttles reach for undisclosed AI content, a survey suggesting older content creators are becoming more valuable to brands seeking credibility in an AI-saturated market, Time magazine's fourth annual Time 100 AI list sparking debate over the inclusion of celebrities like Paris Hilton and Ben Affleck alongside traditional tech figures, and a study showing AI can measure heart fat in under two seconds compared to fifteen minutes manually, with significant implications for cardiovascular risk assessment. Subscribe to In AI Nutshell for the AI news that matters to marketers, every Friday in ten minutes.

Andrew Miles Davis breaks down a practical framework for moving beyond surface-level AI summaries into genuine analysis, using a fictional set of 300 customer comments as a working example. Rather than simply asking AI to summarise, he demonstrates asking it to identify themes with supporting evidence, then challenging its own conclusions to surface minority patterns that frequency alone would bury, uncovering a small but significant cancellation and refund issue hiding beneath larger but less urgent themes. He connects this three-question approach, what is this, so what, and what now, to his broader AI Essentials framework, and uses three stages of his Story Lens method, arrival, exposure, and decision, to explain where genuine human value now sits in a workflow AI can execute in minutes rather than hours. The core argument is that human judgement does not disappear as AI takes over the mechanical work, it simply moves to questioning and deciding what the analysis actually means. Subscribe to In AI Nutshell for daily ten-minute AI insight and to the YouTube channel for the full demonstration with live prompts and spreadsheets.

Andrew Miles Davis opens September with an honest review of August, where the YouTube channel finally launched with two videos live, and ChatGPT voice conversations during daily dog walks became a genuine part of his working process for developing ideas before reaching his desk. For September he is bringing his backlog of thousands of training questions accumulated over fifteen years of face-to-face sessions to LinkedIn video, alongside a return to a full training and keynote schedule after a deliberately quieter August. The centrepiece of the month is the public launch of his Story Lens Method, a framework built around the idea that everything shared online tells a story whether intentionally or not, drawing on one of seven core story structures to help people navigate change, judgement, and decision-making in an AI-driven world. Having delivered variations of this system with organisations for years, Andrew describes finally building it out fully over the summer as genuinely exciting, a rare reaction for him. Subscribe to In AI Nutshell for daily ten-minute AI insight and to follow the Story Lens Method rollout across podcast, YouTube, and LinkedIn.

Andrew Miles Davis covers three tools on this week's Cool Tools Tuesday, leading with a genuine change of opinion on Copilot's integration with Excel, which he had previously dismissed after a poor experience with a similar feature in Gemini a year earlier. He walks through five practical use cases including turning messy spreadsheets into instant insights, generating charts and pivot tables from plain language requests, writing formulas without needing to know the syntax, automatically cleaning data and standardising UK date formats, and summarising what has changed across workbook versions, concluding that the native Copilot integration outperforms both ChatGPT and Claude's Excel connectors. He also covers Umind.com's prompt library, a free daily-updated resource of trending prompts across images, video, and text, and IdeaVideo.ai, a free video generation aggregator giving access to Seedance, Veo, Kling, and other major models, positioned as a low-stakes starting point for marketers wanting to build video skills without committing to a paid platform. Subscribe to In AI Nutshell for three new tools every Tuesday with honest verdicts from someone testing them in real work.

Andrew Miles Davis wraps up a deliberately quieter August, using the extra time away from training to properly test three tools that shaped his month outside of his permanently retired ChatGPT and Whisper Flow. Claude Design handled the full front end of his new website, thestorylensmethod.com, built from a rough description in under an hour, and impressed him further with animation capabilities he plans to bring to LinkedIn content given the cost and complexity of sourcing motion graphics manually. Codex handled the back end, hosting the site directly and removing the traditionally fiddly process of domain purchasing, hosting, and name server configuration. Copilot rounds out the three, with Andrew revisiting a tool he had previously written off after a poor experience with Gemini and Sheets, now praising its native integration across Excel, Word, and PowerPoint, particularly for small formatting tasks he can now handle entirely by voice given his RSI. Subscribe to In AI Nutshell for a daily ten-minute update on what is actually worth using, from someone building real things with these tools every month.

Andrew Miles Davis covers a relatively quiet news week that still carried some significant stories, starting with new research suggesting AI written language now leaves fingerprints across roughly a third of the web, prompting a wider question about what happens to the value of original thinking as competent, AI-polished copy becomes the norm. He covers Hollywood creatives being paid to train AI systems on the exact skills that once made them employable, drawing a direct line to Ford's earlier decision to rehire staff it had replaced with AI in order to train the technology properly, and Dr Dre's public comments on using AI in music production, arguing that taste and judgement remain the irreplaceable skill even as AI speeds up experimentation. Other stories include New York enforcing disclosure rules for AI-generated influencers appearing in advertising, Twitch streamers suing Amazon over claims their content trained AI without consent, YouTube testing a prompt-based custom homepage feed, and AI identifying hidden patterns in breast cancer data that could help doctors tailor treatment more effectively. Subscribe to In AI Nutshell for the AI news that matters to marketers, every Friday in ten minutes.

Andrew Miles Davis continues his Story Lens video series by tackling why intelligent, well-informed people can look at the exact same evidence around AI and reach entirely opposite conclusions. Using the Moneyball story of traditional baseball scouts versus data-driven analysis as his central example, he argues that disagreement is rarely about who has the facts and far more often about which facts each side considers important. This lands in what he calls the Divide stage of his Story Lens framework, one of seven stages built around the "stranger comes to town" story structure, where disruption forces people into genuinely different readings of the same change rather than clean categories of understanding versus not understanding. Drawing on his own decision to leave the BBC for MySpace in 2006, a move that looked reckless to almost everyone at the time, Andrew offers a five-question method for evaluating competing arguments without immediately picking a side, including using AI itself to stress-test your own position rather than outsource the decision entirely. Subscribe to In AI Nutshell for daily ten-minute AI insight and to the YouTube channel for the full Story Lens series.

Andrew Miles Davis breaks down a recent Social Media Examiner marketing report, walking through the key statistics with his own honest reaction to each. Daily AI usage among marketers has jumped from 37% to 73% in two years, while a genuinely striking finding shows Claude has overtaken ChatGPT as marketers' most important single tool despite ChatGPT still leading on raw usage, a shift Andrew traces back to Anthropic's public stance against government surveillance and weapons work last year. He highlights that 85% of marketers now pay for AI tools, with the majority spending their own money, reinforcing his ongoing argument that the era of doing everything for free is ending and people need to shift their mental model toward paying for AI the way they pay for a phone bill. He also covers the gap between interest and adoption in AI video, where the desire to learn far outpaces actual usage, and the significant gap between AI agent hype and real-world adoption, with only 11% of respondents using them regularly despite widespread interest. Subscribe to In AI Nutshell for daily ten-minute episodes breaking down what's actually happening in AI marketing data.

Andrew Miles Davis marks 76 weeks of Cool Tools Tuesday with three picks, leading with Happy Shrimp, an AI music generator that has become one of the most talked-about tools of the summer despite its unusual name, competing directly with Suno, Udio, and Producer AI. Running his standard test prompt, Andrew found it produced strong results on the first attempt, making it a genuinely good starting point for anyone new to AI music generation. He also covers a quietly significant update to ChatGPT Images, which now supports proper transparent background generation, removing the need to route images through Canva for background removal and matching that quality directly inside the platform. The episode closes with FindOutMy.com, a lighter tool that analyses uploaded photos and gives feedback on posture, presentation, style, and physical presence, which Andrew tests on himself with mixed seriousness while flagging it purely as entertainment rather than anything to take too literally. Subscribe to In AI Nutshell for three new tools every Tuesday with honest verdicts from someone testing them in real work.

Andrew Miles Davis tackles a problem that has been genuinely frustrating him, AI's tendency to forget context that matters even after hours of collaborative work, and breaks it down into three distinct levels of memory. Global memory covers broad, stable facts about a person that reasonably follow them across every conversation, but cannot hold detailed project context without becoming unwieldy and contextually inappropriate. Project memory creates a boundary around a specific piece of work, letting AI hold format, audience, and history for something like a podcast or campaign, but still leaves the AI deciding what within that boundary actually deserves to be remembered. The third and most reliable level involves building an external memory system, real files and notes that the user controls and updates after each session, which AI reads as a record rather than relies on recall for. Andrew shares his own practical example of maintaining a simple status file for major projects that gets updated after every working session, eliminating the need to hope AI remembered the right details. Subscribe to In AI Nutshell for daily ten-minute episodes that dig into how to actually get better results from the AI tools you already use.

Andrew Miles Davis covers a genuinely quiet news week that still surfaced some meaningful stories, starting with the observation that Anthropic CEO Dario Amodei's wife appears almost nowhere in Claude's outputs despite being easily findable elsewhere online, prompting a wider concern about what large language models choose not to train on and why having multiple competing platforms matters as a safeguard against any single company controlling what information surfaces. He covers Robin Williams' children reactivating his Instagram account to give fans an authentic reference point against the growing spread of AI-generated versions of his voice and likeness, ChatGPT launching a dedicated version for teenagers with study tools and safety guardrails around self-harm and explicit content, Google DeepMind releasing Backstory, a verification tool built to help journalists and fact-checkers investigate manipulated images and content, and LinkedIn quietly adding an AI slop reporting option that appears to have no actual consequence for the content or its author. Subscribe to In AI Nutshell for the AI news that matters to marketers, every Friday in ten minutes.

You can find this episode on YouTube: https://www.youtube.com/watch?v=Pkp-wTHGjMQ

Andrew Miles Davis opens a new video series by tackling a question he hears in almost every training session he delivers: when will using AI at work stop feeling unusual? Drawing on his Story Lens framework, built around the "stranger comes to town" story structure he has used with organisations for fifteen years, he argues that AI sits firmly in the adaptation stage rather than the new normal stage, and that most people waste time in this stage by spreading themselves across too many tools rather than going deep on one. He introduces a practical five-day test, reviewing the last five working days to separate AI use that has become instinctive from moments where AI could have helped but was not considered until after the fact, as a simple way to identify what to build into a genuine habit next. This is the first instalment in a planned series walking through all seven stages of the Story Lens framework. Subscribe to In AI Nutshell for daily ten-minute AI insight and to the YouTube channel for the full Story Lens series.

Andrew Miles Davis answers eleven randomly generated questions covering AI, marketing, and personal reflections in his favourite recurring format. He shares what he would genuinely miss if AI disappeared overnight, landing on convenience rather than capability, and revisits a frustrating recent experience where AI silently produced incorrect duplicate entries partway through a major data entry project despite performing well initially, a moment he still describes as a bad surprise rather than a good one. He also covers lighter ground including the craziest experience of his career, involving a missed flight, a broken mini-disc player, and an unplanned DJ set opening for Kanye West in front of 16,000 people, along with his picks for the brand with the most personality online, the piece of popular technology he thinks will eventually disappear, and why he could deliver a twenty minute TED talk with zero preparation any day of the week. Subscribe to In AI Nutshell for one of these unscripted, unfiltered episodes every month alongside daily ten-minute AI insight.

Andrew Miles Davis covers three tools on this week's Cool Tools Tuesday, leading with a genuinely impressed first experience of Claude Design after using it to build a full brand kit and website UX in under 30 minutes for a major upcoming project, having tried and failed to get the result he wanted through ChatGPT and Codex first. He gives an honest take on what this means for professional designers, arguing the tool will most benefit people who already understand strong design principles rather than replace that judgement entirely. He also introduces Capptivo, a free open source alternative to Screen Studio and Cursorful for creating polished screen recordings with automatic cursor following and zoom, currently Mac only and untested by Andrew but flagged as one to watch. The episode closes with VideoToBlog.ai, a tool that converts YouTube videos or audio files into properly structured blog posts built with AEO and GEO discoverability in mind rather than simply dumping a transcript onto a page. Subscribe to In AI Nutshell for three new tools every Tuesday with honest verdicts from someone testing them in real work.

Andrew Miles Davis steps away from the well-worn territory of privacy, environmental impact, and job losses to share five more personal red flags that have been genuinely bothering him about AI recently. He covers the flood of mediocre AI-generated content now that publishing requires almost no effort, the growing gap between how fast the technology moves and how well organisations actually understand the consequences of deploying it, and the habit of outsourcing thinking simply because AI offers a faster route than sitting with a problem. The most personal entries come from a recent frustrating experience where AI silently produced fifteen duplicate answers across a long data entry project before admitting the error only when directly challenged, and the broader realisation that there is no meaningful way to hold AI accountable when it repeatedly gets things wrong, unlike a colleague, a friend, or a child. Subscribe to In AI Nutshell for daily ten-minute episodes that stay honest about what using AI is actually like, not just what it claims to be capable of.

Andrew Miles Davis covers a week of stories that point toward what he sees as the coming new normal across education, law enforcement, and entertainment. A University of St Andrews medical student was flagged by AI detection and forced to defend his own dissertation before an academic panel, despite having written it entirely himself. New Orleans police have begun using AI to triage overflow 911 calls, while Florida sheriff's departments have quietly purchased Meta Ray-Ban smart glasses for officers. Meta faces a growing trust gap around personal data in both the UK and US, arriving the same week Mark Zuckerberg published a lengthy essay advocating for open AI models and broader public access to AI capabilities. Claude announced plans to embed invisible watermarks into generated text that persist through editing, sparking debate over surveillance versus authorship verification, while researchers found ChatGPT now displays sponsored ad placements on roughly 26% of commercial-style prompts. The episode closes with data showing over 10% of Hollywood job postings now list AI skills as a requirement, reinforcing Andrew's ongoing argument that AI competency is shifting from niche advantage to expected baseline across every industry. Subscribe to In AI Nutshell for the AI news that matters to marketers, every Friday in ten minutes.

Andrew Miles Davis returns to prompt hacks after a break spent building out a growing resource of his favourite prompt endings, arguing that the real leverage in prompting often comes not from the core request but from what gets added at the end of it. He shares the ELI shorthand for requesting age-appropriate explanations, a powerful ending that asks AI to surface the best question you are not currently asking about a strategy or scenario, and a simple but underused instruction to check your work for mistakes, weaknesses, or blind spots, optionally framed from the perspective of a teacher or boss. He connects each prompt back to his broader AI Essentials framework, particularly research and education and strategic planning, and points listeners to an ongoing Notion document where he continues to add new prompt endings over time. Subscribe to In AI Nutshell for prompt hacks and daily ten-minute AI insight built for marketers who want sharper results.

Andrew Miles Davis returns to a framework he built and taught extensively last year, updating it from the original eight essentials to twelve as he has continued refining how people actually use generative AI. He argues that nearly everything anyone does with a large language model falls into one of these categories: creating content, generating ideas, reformatting, analysing, strategic planning, summarising, optimising, seeking advisory input, exploring scenarios, research and education, asking or being asked questions, and companionship. He flags research and education alongside advisory as the two areas where hallucinations are most likely to cause real damage, given how confidently AI delivers incorrect information in those contexts. Rather than chasing every new tool or model release, Andrew makes the case that mastering these twelve categories covers roughly 95% of practical AI use, and challenges listeners to review their own recent prompts to see the pattern for themselves. Subscribe to In AI Nutshell for daily ten-minute episodes that simplify AI down to what actually matters.

Andrew Miles Davis covers three tools on this week's Cool Tools Tuesday, starting with Clara, a free YouTube transcription and summarisation extension offering clickable chapters and the ability to chat directly with video content without manually uploading it elsewhere, alongside a set of free supporting tools including a timestamp link generator and subtitle downloader. He also covers Caption Bolt, a standalone video finishing tool for short form content that handles resizing, trimming, B-roll, branding, and captioning in multiple styles, built around the simple promise of publishing more while spending less time editing. The episode closes with an update to Whisper Flow, Andrew's most used AI tool, which has added a note taking feature positioned directly against Granola, recording and summarising any audio in a room without needing to be formally invited to a meeting, complete with a personal thoughts section. Andrew notes he is actively trying to consolidate his toolkit rather than expand it, and this update may let him do exactly that. Subscribe to In AI Nutshell for three new tools every Tuesday with honest verdicts from someone testing them in real work.