Andrew Miles Davis answers three questions from recent training sessions, starting with the one he gets asked most often across every workshop he delivers, whether the free AI plan is genuinely enough or whether the monthly subscription is worth it. His answer is direct and comes with no commercial interest behind it. He also revisits the jobs question with a different angle, arguing that the more interesting territory is not what AI cannot do but what people will still choose a human for even when AI can technically do it just as well. The final question comes from a recent vibe coding session, covering whether to do all your planning and prompting inside a tool like Google AI Studio or to use a large language model first, and why the answer has a real financial implication if you are paying per credit. Subscribe to In AI Nutshell for daily ten-minute episodes built around the questions real people are asking about AI right now.

Andrew Miles Davis covers two significant feature updates and one new tool on this week's Cool Tools Tuesday, starting with ChatGPT's new memory sources panel that shows users exactly which past conversation each piece of stored information came from, making it far easier to audit, correct, and control what the model thinks it knows. He then covers what he considers one of the most useful updates he has seen in two years, the full integration of both ChatGPT and Claude directly inside Excel, allowing users to speak or type prompts and have the model act on the spreadsheet in real time without switching between platforms. The third tool is Scrunch, a brand audit platform that evaluates how often a company or its competitors are being cited inside AI platforms like ChatGPT, Claude, Gemini, and Perplexity when users prompt for something relevant to that industry. Subscribe to In AI Nutshell for three new tools every Tuesday with honest verdicts from someone using them in real work.

Andrew Miles Davis breaks down the five mistakes he sees people make with AI almost every single day, drawing on years of face-to-face training sessions with marketing teams, corporates, and individuals across the UK. From giving AI zero context and expecting a tailored result, to jumping between fifteen tools and mastering none of them, to underestimating how much your own expertise and story shapes the quality of the output, each mistake is explained with the same directness Andrew brings to his training rooms. The most common and most damaging mistake he saves for number one, using AI without a clear goal or outcome, which means the model has no direction and will produce confident but generic results every time. The episode closes with a reframe that applies to anyone who has ever felt like they are simply not good at AI. Subscribe to In AI Nutshell for daily ten-minute episodes that close the gap between where most people are with AI and where they need to be.

Andrew Miles Davis covers a week of AI news that connects across a single thread of trust, starting with new Sprout Social data showing that unlabelled AI generated content has overtaken sustainability as the number one brand turn-off on social media, with nearly one in three users saying it actively damages their trust in a brand. He also covers the Oscars updating its eligibility rules to require human performances and human-authored scripts, Mark Zuckerberg's argument that most AI agents would not pass a usability test with a non-technical older person, and a Harvard Medical School study finding that OpenAI's O1 model outdiagnosed attending physicians in emergency department cases with more information. The episode rounds off with a landmark Chinese court ruling that companies cannot dismiss employees simply because AI can perform their role, and the UAE announcing plans to run half its government operations on AI agents within two years. Subscribe to In AI Nutshell for the AI news that matters to marketers, every Friday in ten minutes.

Andrew Miles Davis opens a new series on why the golden era of AI is coming to an end, drawing on 25 years of working through every major digital opportunity window including AdWords at a penny a click, the MySpace and YouTube era, and the rise of short form content across Vine, Instagram, and TikTok. His argument is that each era ended when platforms needed to monetise, and AI is no different. In this first episode he focuses on advertising, explaining why the current experience of getting uninterrupted, unsponsored answers from large language models is historically unusual and commercially unsustainable, and why the arrival of ads will change not just the experience but the trust people place in the results they receive. He also covers the credit system shift already underway at Gemini and what the likely pricing trajectory looks like over the next two to three years. Subscribe to In AI Nutshell for daily ten-minute episodes that tell you what is actually happening in AI before everyone else catches up.

Andrew Miles Davis delivers three prompt techniques built around a single observation he has developed over years of using and teaching AI, that better prompts do not produce better answers, they produce better thinking. The first asks AI to evaluate a decision from the perspective of your future self, identifying what you might regret ignoring versus what simply will not matter in three years. The second takes any piece of content, however dry, and asks what angle would make it shareable, a prompt Andrew uses regularly in training sessions to challenge the idea that some industries are too boring to create engaging content. The third uses constraints as a creative tool, asking for ideas that must meet specific limits around budget, time, and skills, because constraints eliminate the vagueness that produces generic output. Subscribe to In AI Nutshell for prompt hacks, tool reviews, and daily AI insight built for marketers who want to think differently.

Andrew Miles Davis covers three tools on this week's Cool Tools Tuesday, leading with 11 Music, the new platform from 11 Labs that combines AI music discovery, creation, and remixing in one place, letting users take any AI-generated track and transform it into a completely different genre without any copyright complications. He also reviews HiNote AI, a note taker that pulls together features from tools like Notebook LM and Fathom into a more focused daily-use interface, accepting everything from PDFs and audio recordings to YouTube videos and web pages before summarising them however you need. The episode rounds off with Zight, the screen recording tool Andrew has relied on for six or seven years under its previous name Cloud App, now updated with AI transcription, annotation, and summary features that make it more useful than ever for anyone creating training content or documenting their work. Subscribe to In AI Nutshell for three new tools every Tuesday with honest verdicts from someone using them in real work.

Andrew Miles Davis opens May with his monthly look-ahead, but starts with an honest review of what he said he was looking forward to in April and whether any of it actually happened. Claude Cowork barely got touched, the Mac Mini sat in its box for two months before finally being unpacked, and the two day AI course with the National Film and Television School and Amazon Prime went better than expected and is running again in Leeds and Glasgow this month. For May, Andrew is focused on finally getting his new studio space properly set up in what he describes as a large garage split into a gym, a TV room, and an office, committing to building a new vibe coded application every two to three days and documenting the process for YouTube, and watching closely for what AI updates land this month given that May has historically been when some of the biggest model leaps have been announced. Subscribe to In AI Nutshell for daily ten-minute episodes tracking what is actually happening in AI for marketers and content creators.