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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.

23 episodes
daily
Avg 9 min
English

Episodes 23

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Today · 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.
Friday · 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.
Thursday · 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.
Wednesday · 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.
Tuesday · 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.
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.

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