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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.

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  • 67 episodes
  • daily
  • Avg 9 min
  • English
Counted on this page — what you have heard stays on this device, so it is not something the list can be paged by.
  • Friday · 8 min

    Nicolas Cage Refused to Sign an AI Waiver and It Could Cost Him Work (AI News)

    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.

  • Thursday · 10 min

    If Your AI Could Notice One Thing for You Tomorrow Without Being Asked, What Would It Be (Personal AI Agents)?

    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.

  • Wednesday · 8 min

    Three Prompt Endings That Stop AI From Guessing and Make It Ask You First (Prompt Hacks)

    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.

  • Tuesday · 6 min

    This Free Tool Turns Your ChatGPT Chats Into a To Do List (Cool Tools 83)

    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.

  • October 12 · 10 min

    I Spent Ten Days With No Phone and No Talking and Here Is What It Taught Me (Random Questions)

    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.

  • October 9 · 9 min

    Meta Muse Is Building a Profile on People Who Never Signed Up and an AI Book Got Caught Making Up Quotes (AI News)

    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.

  • October 8 · 9 min

    She Paid £30k On An Influencer Degree. Here Is Why!!

    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.

  • October 7 · 7 min

    Will Your Next Manager Be an AI and Who Takes the Blame When It Gets It Wrong (FAQs)

    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.

  • October 6 · 9 min

    Ahrefs Now Has a Free Tool That Shows How Often AI Mentions Your Brand (Cool Tools 82)

    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.

  • October 5 · 9 min

    Pay With Money, Pay With Ads, or Pay With Reduced Access. Those Are Your Three Options Now

    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.

  • October 2 · 12 min

    OpenAI Launched Dot to Take On Meta Muse and the Difference Between Answers and Action Is the Whole Story (AI News)

    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.

  • October 1 · 10 min

    What I Am Looking Forward To In October

    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.

  • September 30 · 9 min

    I Would Actually Pay for Meta Muse and I Never Thought I Would Say That About Meta

    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.

  • September 29 · 9 min

    Your Personal AI Assistant Might Live Inside iMessage Sooner Than You Think (Cool Tools 81)

    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.

  • September 28 · 11 min

    My Top Five Large Language Models Going Into the Final Quarter of 2026 and Why

    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.

  • 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.

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