Andrew Miles Davis combines two productivity ideas from The 4-Hour Work Week with AI. Parkinson's law says work expands to fill the time available. Pareto's law, the 80/20 principle, says roughly 80% of your results come from 20% of what you do. Andrew explains how the two work together, and asks whether AI is the best 80/20 tool we have ever had. His answer is yes and no, because AI is brilliant at finding the 20% but it cannot make you stop at the right point. He shares four ways he uses it. These are strategic planning from a messy brain dump, deciding which 20% of his to-do list matters most each Monday, vibe coding with his 70% rule, and learning something new. Andrew also shares how the 70% rule finally got In AI Nutshell started after fifteen years of thinking about it. Subscribe to In AI Nutshell for practical AI ideas for marketers and content creators, every day in ten minutes.

Andrew Miles Davis answers three questions from his recent training sessions in this fortnightly FAQ episode. First, can AI reduce stress and burnout? He says it depends, but AI can lift admin and repetitive work. The catch is what happens to the time it saves, because if your employer simply adds more work, stress goes up rather than down. Second, what happens if AI gives financial or medical advice that harms someone? Andrew explains that AI takes zero responsibility for your decisions, so you cannot go back to a chatbot and ask for your money back. Use it as a starting point, compare answers across models if you like, but the final decision and the consequences are yours. Third, will AI steal my job? Andrew says AI will take some jobs, as the internet and social media did, but the people getting the best results already know what good looks like. He shares what he sees on his AI Live Show and why you should double down on your experience while now is the time to do it. Subscribe to In AI Nutshell for the answers to the questions your team is asking, every other week in ten minutes.

Andrew Miles Davis shares three very different cool tools for Cool Tools Tuesday. First is Veridive, a site with a Deep Query feature that searches dozens of YouTube videos on your topic and gives you one answer with citations, much like an AI overview for video. Andrew explains why this matters in a no-click world and what it could mean for YouTube creators. Next is Google's new Foresight, a note taker that runs as an app on your Mac and stores everything on your device. It works offline, turns two or three jotted words into full notes from the live conversation, and connects to your docs, slides and emails. Andrew also covers the ethics of recording calls without telling people. The third tool is Tolixy, a directory of over 190 free in-browser tools across eight categories, including PDF, image, video, audio, text, developer tools, file converters and calculators. Use them as they are, or take them as inspiration to vibe code your own. Subscribe to In AI Nutshell for three cool tools every Tuesday in ten minutes.

Andrew Miles Davis is back with another AI pet peeves episode, the monthly look at three things that annoy him about generative AI. First up is ChatGPT's lack of a "last modified" sort for chats, a small change that Claude has made and one that has led him to use Claude more. He explains why searching old chats is so painful when you have 15 different chats on strategic planning. Next is the social media algorithm, where one click on kettlebells or saunas can flood your feed for weeks. Andrew shows how this affects both users and creators trying to reach the right audience. The third peeve is cost. With ChatGPT's new $500 a month plan, he argues the real problem is that what you paid for last year now gets you less, just like Netflix adverts creeping into the standard tier. He predicts a $2,000 a month plan within a year. Subscribe to In AI Nutshell for the AI insights that matter to marketers and content creators, in ten minutes.

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.