Andrew Miles Davis opens May with a news episode covering one of the most significant shifts he has been predicting for months, Google moving Gemini to a credit based system and what that signals about the end of the unlimited free AI era that has defined the last two years. He also covers Taylor Swift trademarking her voice and specific phrases to legally challenge AI deepfakes, WWE confirming it is using AI and fan data to shape storylines and championship arcs, and an NFL quarterback publicly endorsing an AI cardiovascular screening tool that detects blockages years before symptoms appear. The episode rounds off with Tinder rolling out iris scanning to verify users are human, China blocking Meta's two billion dollar acquisition of Manus to keep AI built by Chinese founders out of American hands, and Google testing a conversational AI search layer inside YouTube. Subscribe to In AI Nutshell for the AI news that matters to marketers, every Friday in ten minutes.

Andrew Miles Davis wraps up April with his monthly tool review, revealing the three AI tools he genuinely used the most outside of his permanently retired entries, with Whisper now the only tool too omnipresent to mention. ChatGPT Images 2.0 earns the top spot after being used not just for testing but in live keynote presentations to hundreds of people in the second half of the month. Google AI Studio returns to the list as Andrew gets back into vibe coding and uses it as his primary free prototyping environment before deploying anything to a paid platform. Higgs Field rounds out the three, a video aggregator he paid for on Black Friday and barely touched until April, now being used to access Seedance, Google VO, and other models in one place for spec ad work. He also announces that Claude and ChatGPT are being formally retired from the monthly list because he uses them so constantly that including them would make the exercise pointless. 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.

Andrew Miles Davis answers three questions from his corporate training sessions, starting with how to structure prompts properly using the seven point prompt recipe he developed, covering goal, outcome, context, situation, role, format, and examples as a framework that goes beyond basic prompt engineering into what is now being called context engineering. He then tackles whether it is worth building your own CRM system using vibe coding tools instead of paying for platforms like HubSpot, giving a straight answer about when it makes sense and when it probably does not. The episode closes with the most common question in every training room he enters, which AI model is best, and why the honest answer is that for most people the model matters far less than learning to train one well. Subscribe to In AI Nutshell for daily ten-minute episodes built around the questions real marketers are actually asking right now.

Andrew Miles Davis opens this week's Cool Tools Tuesday with a full verdict on ChatGPT Images 2.0 after a week of heavy testing, calling it his favourite AI tool of the year so far and explaining why it has pulled ahead of Ideogram for stylisation, infographics, editing, and fine detail work. He also covers Try Scotty, a newsletter aggregator that condenses multiple daily subscriptions into a single digest by identifying duplicate stories and surfacing only what is new, and rounds off with Try Clico, a Chrome extension that summarises any web page on demand and lets you highlight individual words for an instant in-page definition. All three tools are either free to trial or included in subscriptions most marketers are already paying for. Subscribe to In AI Nutshell for three new tools every Tuesday with honest verdicts from someone testing them in real work.

Andrew Miles Davis returns to his most popular talk format for a fourth instalment of the good, the bad, and the ugly of generative AI, this time covering one topic from each category that he thinks deserves more attention. The good makes a case for AI as a creativity booster rather than a creativity killer, drawing on two years of the AI Live show to argue that the people producing the most impressive AI work are experienced creatives adding AI to existing expertise, not replacing it. The bad covers hallucinations and the specific harm caused by AI confidently stating false information in high-stakes areas like law, medicine, and cyber security. The ugly goes to what Andrew considers the most serious long-term issue in the entire AI story, the widening of inequality between individuals, businesses, and entire nations as AI concentrates power and profit in fewer and fewer hands. Subscribe to In AI Nutshell for daily ten-minute episodes that give you the full picture, not just the highlights.

Andrew Miles Davis covers one of the busiest weeks in AI news this year, opening with two robotics breakthroughs including a humanoid robot running a half marathon faster than any human on record and a Sony robot beating a professional table tennis player under official match conditions. He breaks down the image generation battle heating up between ChatGPT Images 2.0, MidJourney 8.1, and Claude Design, gives his honest verdict on which is now his go-to tool, and covers ChatGPT's new workspace agents that let AI run scheduled tasks across an entire team. The episode also tackles an AI-generated track hitting number one on the US iTunes chart, Meta tracking employee keystrokes to train its AI models, Rishi Sunak warning about AI cutting entry-level jobs while advising the companies building that AI, and the story that genuinely stopped Andrew in his tracks, the UK cabinet minister responsible for a £500 million AI investment fund admitting she does not use AI at work. Subscribe to In AI Nutshell for the AI news that matters to marketers, every Friday in ten minutes.

Andrew Miles Davis revisits one of his most personal episode formats, the wow moment series, looking back at what has genuinely stopped him in his tracks over the last nine to twelve months. He makes a strong case for AI video as a category-defining shift, pointing to Seedance, Veo, and Kling as the tools now producing work that is winning awards and being commissioned by real production companies, and argues that the storytelling happening behind the technology is just as significant as the tools themselves. He also covers vibe coding as a genuine revolution for non-technical people, sharing real examples of applications he has built without writing a single line of code. The most honest part of the episode is what he cannot find: a third wow moment, and what that absence might say about rising expectations and the normalisation of things that would have seemed impossible three years ago. Subscribe to In AI Nutshell for daily ten-minute episodes that track what AI is actually doing to the way we work, create, and think.

Andrew Miles Davis shares three prompt techniques built around a simple observation from years of training sessions: most people get poor AI results not because the tools are bad, but because they never challenge them. The first prompt, adding "don't tell me how to do it yet" to any strategic brief, forces the model to pause, ask clarifying questions, and produce answers with more depth. The second turns any AI output into a debate by asking the model to argue against its own recommendation, revealing weaknesses before you act on the advice. The third uses structured clarifying questions to surface the real goal, real constraints, and real timeline before any plan is built. All three are immediately usable and explained with real examples from Andrew's own prompting sessions. Subscribe to In AI Nutshell for prompt hacks, tool reviews, and daily AI insight built for marketers who want better results.

Andrew Miles Davis asks whether anyone can genuinely compete with Google when it comes to free AI tools, and uses three this week's Cool Tools Tuesday picks to make the case. He starts with Vibe Casting, an AI podcast generator that impressed him with its research but disappointed on audio quality, before explaining where it does have a genuine use case as a personal learning tool. He then highlights the mind map feature inside Notebook LM, which he showcased to two separate training groups last week to strong feedback, explaining why feeding AI structured information before asking for ideas produces far better results than prompting from scratch. The episode closes with Google AI Studio's new text to speech model, which goes beyond standard AI voice generation by helping you script for tone, emotion, and pacing rather than accepting flat monotone output. Subscribe to In AI Nutshell for three new tools every Tuesday with honest verdicts from someone using them in real training sessions.

Andrew Miles Davis answers 11 randomly generated questions covering his working habits, honest marketing opinions, and the AI outputs that have genuinely stopped him in his tracks over the years. He makes a direct case against the content is king myth, arguing that in a digital world where distribution determines visibility, great content without promotion is just a hobby, and explains why he will openly challenge anyone who repeats the saying without qualification. He also talks through vibe coding as the AI use case he finds most practically useful right now, the role AI has played in managing his RSI, and the random skill of near-perfect music lyric recall that occasionally comes in useful during training sessions. Subscribe to In AI Nutshell for a daily ten-minute episode covering AI, marketing, and the unfiltered opinions that come from 25 years in the industry.