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In A(i) Nutshell

Andrew Davis

A 10-minute daily podcast about the world of Generative AI for marketers and the everyday person.

72 episodes
daily
Avg 9 min
English

Episodes 72

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September 25 · 11 min
OpenAI Anthropic Meta Google and X All Dropped Major Releases in the Same Week (AI News)
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.
September 24 · 9 min
Every Advertising Platform Starts Helpful Then Agendas Change and ChatGPT Will Be No Different
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.
September 23 · 8 min
Can AI Actually Reduce Stress and Burnout or Does It Just Create More Work (FAQs)
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.
September 22 · 11 min
Finally I Have Found A Tool For Apple Notes (Cool Tools 80)
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.
September 21 · 8 min
Three Hikers Blamed AI for Getting Stranded on a Mountain But That Is Not What Actually Happened
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.
September 20 · 8 min
Get AI to Attack Its Own Naming Suggestions Before You Pick a Favourite
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.
September 18 · 8 min
Three Hikers Nearly Died on a Mountain Because Gemini Gave Them the Wrong Directions (AI News)
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.
September 17 · 10 min
Codex Made My Problem Worse Then Told Me I Was Out of Credits (Pet Peeves)
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.
September 16 · 11 min
Three Years of Daily AI Podcasting and Here Is What I Have Learnt (In AI Nutshell 3rd Birthday)
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.
September 15 · 9 min
Never Know What to Type Into Suno Again. This Free Tool Builds the Perfect Music Prompt For You (Cool Tools 79)
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.
September 14 · 8 min
Not Everything on Your To-Do List Needs to Get Done. Here Is the Framework That Decides What Does. (Do Delay Delegate Delete)
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.
September 11 · 10 min
Apple Finally Fought Back in AI and ElevenLabs Just Signed Its First Major Label Deal (AI News)
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.
September 10 · 11 min
What Is Something I Would Never Trust AI to Decide For Me (Random Questions)
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.
September 9 · 8 min
Three Prompt Endings That Take Any Answer From White Belt to Black Belt (AI Prompt Hacks)
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.
September 8 · 7 min
This AI Meeting Assistant Records Without Ever Joining the Call as a Bot (Cool Tools 78)
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.
September 7 · 7 min
Why Prompting Well Will Stop Being Impressive and Judgement Will Become the Real Skill
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.
September 4 · 10 min
ChatGPT's Ad Business Hit a Billion Dollar Run Rate in Under 200 Days (AI News This Week)
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.
September 3 · 11 min
The Biggest Mistake People Make With AI Is Accepting Its First Answer
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.
September 2 · 9 min
What I Am looking Forward to in September
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.
September 1 · 8 min
Turn Messy Spreadsheets Into Insights in Seconds With This Copilot Excel Feature (Cool Tools 77)
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.

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