In A(i) Nutshell

Andrew Miles Davis steps away from the well-worn territory of privacy, environmental impact, and job losses to share five more personal red flags that have been genuinely bothering him about AI recently. He covers the flood of mediocre AI-generated content now that publishing requires almost no effort, the growing gap between how fast the technology moves and how well organisations actually understand the consequences of deploying it, and the habit of outsourcing thinking simply because AI offers a faster route than sitting with a problem. The most personal entries come from a recent frustrating experience where AI silently produced fifteen duplicate answers across a long data entry project before admitting the error only when directly challenged, and the broader realisation that there is no meaningful way to hold AI accountable when it repeatedly gets things wrong, unlike a colleague, a friend, or a child. Subscribe to In AI Nutshell for daily ten-minute episodes that stay honest about what using AI is actually like, not just what it claims to be capable of.

Andrew Miles Davis covers a week of stories that point toward what he sees as the coming new normal across education, law enforcement, and entertainment. A University of St Andrews medical student was flagged by AI detection and forced to defend his own dissertation before an academic panel, despite having written it entirely himself. New Orleans police have begun using AI to triage overflow 911 calls, while Florida sheriff's departments have quietly purchased Meta Ray-Ban smart glasses for officers. Meta faces a growing trust gap around personal data in both the UK and US, arriving the same week Mark Zuckerberg published a lengthy essay advocating for open AI models and broader public access to AI capabilities. Claude announced plans to embed invisible watermarks into generated text that persist through editing, sparking debate over surveillance versus authorship verification, while researchers found ChatGPT now displays sponsored ad placements on roughly 26% of commercial-style prompts. The episode closes with data showing over 10% of Hollywood job postings now list AI skills as a requirement, reinforcing Andrew's ongoing argument that AI competency is shifting from niche advantage to expected baseline across every industry. Subscribe to In AI Nutshell for the AI news that matters to marketers, every Friday in ten minutes.

Andrew Miles Davis returns to prompt hacks after a break spent building out a growing resource of his favourite prompt endings, arguing that the real leverage in prompting often comes not from the core request but from what gets added at the end of it. He shares the ELI shorthand for requesting age-appropriate explanations, a powerful ending that asks AI to surface the best question you are not currently asking about a strategy or scenario, and a simple but underused instruction to check your work for mistakes, weaknesses, or blind spots, optionally framed from the perspective of a teacher or boss. He connects each prompt back to his broader AI Essentials framework, particularly research and education and strategic planning, and points listeners to an ongoing Notion document where he continues to add new prompt endings over time. Subscribe to In AI Nutshell for prompt hacks and daily ten-minute AI insight built for marketers who want sharper results.

Andrew Miles Davis returns to a framework he built and taught extensively last year, updating it from the original eight essentials to twelve as he has continued refining how people actually use generative AI. He argues that nearly everything anyone does with a large language model falls into one of these categories: creating content, generating ideas, reformatting, analysing, strategic planning, summarising, optimising, seeking advisory input, exploring scenarios, research and education, asking or being asked questions, and companionship. He flags research and education alongside advisory as the two areas where hallucinations are most likely to cause real damage, given how confidently AI delivers incorrect information in those contexts. Rather than chasing every new tool or model release, Andrew makes the case that mastering these twelve categories covers roughly 95% of practical AI use, and challenges listeners to review their own recent prompts to see the pattern for themselves. Subscribe to In AI Nutshell for daily ten-minute episodes that simplify AI down to what actually matters.

Andrew Miles Davis covers three tools on this week's Cool Tools Tuesday, starting with Clara, a free YouTube transcription and summarisation extension offering clickable chapters and the ability to chat directly with video content without manually uploading it elsewhere, alongside a set of free supporting tools including a timestamp link generator and subtitle downloader. He also covers Caption Bolt, a standalone video finishing tool for short form content that handles resizing, trimming, B-roll, branding, and captioning in multiple styles, built around the simple promise of publishing more while spending less time editing. The episode closes with an update to Whisper Flow, Andrew's most used AI tool, which has added a note taking feature positioned directly against Granola, recording and summarising any audio in a room without needing to be formally invited to a meeting, complete with a personal thoughts section. Andrew notes he is actively trying to consolidate his toolkit rather than expand it, and this update may let him do exactly that. 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 three questions from recent training sessions, starting with one of the most common questions he receives from corporate teams issued Copilot licenses by their IT department: is it actually better than ChatGPT. His honest answer is that for the vast majority of practical use, the leading tools perform similarly once properly trained, and the real differentiator becomes personal preference and familiarity rather than raw capability. He then shares his current top three AI tools, splitting the answer between what he finds most useful and what he genuinely enjoys using, landing on ChatGPT for its voice feature, Whisper Flow for accessibility given his RSI, and a split between MidJourney and Magnific for video and image work. The episode closes with a lighter question about whether Andrew uses a timer to consistently hit the podcast's ten minute format, revealing his radio background as the reason he can naturally pace an episode without watching the clock. Subscribe to In AI Nutshell for daily ten-minute episodes built around the questions real people are asking in training rooms right now.

Andrew Miles Davis covers a relatively quiet release week that was still packed with consequential stories, starting with Netflix confirming AI has been used across 300 titles this year, mostly in post-production work like crowd scenes and establishing shots, signalling that AI-assisted production is becoming the industry standard rather than the exception. He covers a German court ruling against Suno for unlawfully training on copyrighted music represented by GEMA, and the major labels pushing for AI-assisted tracks to be substantially human-made and built on authorised tools before qualifying for the charts, a move Andrew reads as the labels positioning themselves to control AI music platforms the way they never controlled iTunes. Other stories include YouTube targeting monetisation for AI personas giving advice on finance, law, or healthcare, a New York school district pausing plans for a humanoid AI teacher over the manufacturer's ties to a hyper-realistic doll company, a San Francisco startup offering bookable humanoid cleaning robots, and Google briefly allowing users to generate fake satellite imagery of scenarios including bomb craters and refugee camps before withdrawing the feature within a day. Subscribe to In AI Nutshell for the AI news that matters to marketers, every Friday in ten minutes.

Andrew Miles Davis reacts to news that MySpace's current owners have confirmed relaunch plans, positioning the platform as an algorithm-free alternative to modern social media as it approaches nearly six million monthly users and its first profitable year in over a decade. Drawing on his own experience working at MySpace from 2006 to 2009, including being part of the team that launched it in the UK, Andrew gives an honest personal take on whether a genuine comeback is possible, using Take That's post-Robbie Williams resurgence and Nintendo's Wii-era revival as examples of brands that clawed back cultural relevance after years in the wilderness. He remains sceptical MySpace can pull off the same trick, but leaves the door open. Subscribe to In AI Nutshell for daily ten-minute episodes covering AI, marketing, and the occasional look back at internet history from someone who lived through it.

Andrew Miles Davis holds himself accountable at the halfway point of the year, reviewing the four predictions he made for 2026 in January against what has actually happened. He finds strong evidence supporting his call that the golden era of free, ad-free, unregulated AI is drawing to a close, pointing to ChatGPT's underperforming ad experiment and the increasing likelihood of a significant pricing shift rather than a straightforward ad rollout. He confirms his prediction that large companies would dominate the space independent players like MidJourney, Runway, and N8N built, citing the shift toward Codex, Claude Code, and Seedance as clear evidence. His prediction that AI agents would not reach mainstream adoption this year also holds, largely due to unresolved safety and trust issues rather than technological limitations. The one prediction tracking softer than expected is the growing skill gap, which Andrew revises based on training close to two thousand people face to face so far this year and observing genuinely faster adoption than he anticipated. Subscribe to In AI Nutshell for daily ten-minute episodes that stay honest about what actually happens versus what was predicted.

Andrew Miles Davis names his current favourite AI tool on this week's Cool Tools Tuesday, ChatGPT's Codex, detailing the range of applications he has built with it including a full CRM system, an invoice tracker, a goals-connected to-do list, a fitness interval timer, and a daily check-in app, and explaining why he prefers it to Claude Code on both consistency and credit efficiency. He also covers Edite, a simple image editing tool that offers one-click options for background removal, face swaps, age changes, style transfers, and professional headshots without needing to write a prompt. The episode closes with a free AI visibility checker that scores any website's presence across ChatGPT, Google AI Overviews, Gemini, Perplexity, and Copilot, generating a shareable infographic with a numerical score, key weaknesses, and top three recommended fixes. Subscribe to In AI Nutshell for three new tools every Tuesday with honest verdicts from someone building real things with them.