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.