In A(i) Nutshell

Andrew Miles Davis kicks off a new series drawing on patterns he has observed across thousands of face-to-face training sessions, starting with two of the most common reasons people struggle with AI tools despite genuinely wanting to use them well. The first is an expectation problem, where people go in expecting the accuracy of a database, the creativity of a human, and the consistency of software, and then lose patience when AI delivers something messier than that. The second is a habit carried over from two decades of search engine use, treating large language models like Google by typing short queries, reading the first answer, and moving on. Andrew argues that shifting these two mindsets alone would improve most people's results overnight. Subscribe to In AI Nutshell for daily ten-minute episodes built around what actually happens when real people use AI at work.

Andrew Miles Davis covers this week's AI news with a focus on what it means for marketers, starting with new data showing bot traffic now accounts for over half of incoming visits for some publishers as AI crawlers scrape content to train large language models without permission. He explains the shift from SEO to GEO, generative engine optimisation, and why marketers are already gaming the new system in ways that could poison the quality of information AI models produce. He also covers a MIT and Stanford study finding that AI systems frequently prioritise agreement over accuracy, a behaviour known as sycophancy that makes training your model to push back more important than ever. The episode rounds off with the impact of AI short-form video tools on the editors who built careers clipping long-form content for influencers. Subscribe to In AI Nutshell for the AI news that actually matters to marketers, every Friday in ten minutes.

Andrew Miles Davis shares three prompt extensions that consistently produce sharper, more useful answers from any large language model, starting with a technique that forces the AI to identify what you might be getting wrong before it even answers. He also breaks down a comparison framework that goes beyond asking what competitors do, by asking what a third player would do to beat them both, and rounds off with a prompt built around the idea that success leaves clues, using reverse engineering to unpack how someone or a company achieved a specific result. All three are practical, 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.

Andrew Miles Davis runs through the five AI tools he genuinely cannot work without right now, and the list has shifted since he last covered it. MidJourney holds on by a single use case, Fathom earns its place as a non-negotiable for every call, and ChatGPT makes a surprise return to the top three after a spell in the wilderness. Claude slips from number one to number two following a pattern Andrew has been tracking for weeks, where the model ignores trained instructions rather than following them. And sitting at the top, unchanged, is Whisper, the voice dictation tool Andrew credits as the single biggest daily time-saver in his toolkit. 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 is back after the Easter break with three Cool Tools Tuesday picks, led by Suno 5.5's new voice cloning feature that lets you record your singing voice and use it to generate songs in any style from grime to opera. He also covers Adobe Firefly's free AI image upscaler, which he rates as one of the most reliable free options for restoring and enhancing older or lower quality images without distorting the original. The third tool is Air Music, a platform with a range of music generation features including instrumental creation, vocal removal, and a paid music video generator that is worth knowing about if you regularly work with AI-generated audio. Subscribe to In AI Nutshell for three new tools every Tuesday, explained in plain language with real use cases.

Andrew Miles Davis kicks off a new series designed to answer the question that comes up in almost every training session he delivers, which is not how a tool works but what it is actually for. Starting with AI music generators like Suno, Udio, and Producer AI, he breaks down five genuine business use cases including using AI-generated music as a content bed, running creative split tests in paid ads, repurposing video content across platforms with tailored soundtracks, and making internal presentations land better with music that actually gets attention. The standout example comes from a FIFA session where the exercise produced a song a national women's football team adopted as their own. Subscribe to In AI Nutshell for daily ten-minute episodes that move past the hype and focus on what AI can actually do for your work.

Andrew Miles Davis opens April with a look at three things he is genuinely excited about this month, starting with his new Mac Mini which he bought primarily to properly test Claude's Cowork desktop agent feature and explore real use cases he can teach. He reflects honestly on missing his YouTube goals two months running, explains the echo problem in his new studio space, and sets out why this month feels different. The headline announcement is a two day AI training course he is delivering in partnership with the National Film and Television School and Amazon Prime, running across Cardiff, London, Glasgow, and Leeds, marking the longest AI course he has ever delivered. He also celebrates passing 600 podcast episodes and sets his sights on reaching 900 by the end of the year. Subscribe to In AI Nutshell for daily ten minute AI updates from someone who tests everything before he teaches it.

In this Cool Tools Tuesday episode, Andrew Miles Davis finally features a tool he has been recommending to clients and charities for years but has somehow never covered on the show, Lumen5, a video creation platform that turns blog posts and URLs into polished social videos automatically by matching text highlights to images, footage, and a music bed. He also breaks down Comic Ink, a dedicated AI comic book generator that impressed him for its character consistency and generous free plan, and rounds off with Renamer.ai, a file renaming tool that uses AI to bulk rename screenshots, documents, and photos so you can actually find them again. All three tools have usable free plans and practical applications for marketers working without a design or video team. Subscribe to In AI Nutshell for three new tools every Tuesday, tested and explained in plain language.

At the end of every month, Andrew breaks down the three AI tools he has actually used the most, and this month marks a notable shift with ChatGPT dropping off the list entirely for the first time as Claude takes over as his primary large language model. He explains why he is still in the honeymoon period with Claude, what he has been testing with the Cowork feature, and why the patience he extends to a newer tool reveals something important about trust and consistency in AI. Perplexity holds its place as his go-to for reliable answers, and MidJourney version 8 earns its spot purely on the strength of its stylisation capabilities for presentation work. Subscribe to In AI Nutshell for a daily ten minutes of practical AI insight from someone using these tools in real client work every day.

Andrew Miles Davis returns to his most popular talk format, breaking down the good, the bad, and the ugly of generative AI for marketers, content creators, and everyday professionals in 2026. The good covers what he calls the hesitation problem, explaining how AI removes the blank page and gives people something to react to rather than starting from nothing. The bad focuses on a point most marketers overlook entirely, that the algorithms shaping what content gets seen were never something anyone agreed to, and mastering them is now one of the hardest challenges in content marketing. The ugly goes straight to deepfakes and the collapse of trust online, arguing that this is not a future risk but a problem already causing real damage at speed. Subscribe to In AI Nutshell for a daily ten minutes of no-nonsense AI thinking built for people doing real work.