Andrew Miles Davis opens September with an honest review of August, where the YouTube channel finally launched with two videos live, and ChatGPT voice conversations during daily dog walks became a genuine part of his working process for developing ideas before reaching his desk. For September he is bringing his backlog of thousands of training questions accumulated over fifteen years of face-to-face sessions to LinkedIn video, alongside a return to a full training and keynote schedule after a deliberately quieter August. The centrepiece of the month is the public launch of his Story Lens Method, a framework built around the idea that everything shared online tells a story whether intentionally or not, drawing on one of seven core story structures to help people navigate change, judgement, and decision-making in an AI-driven world. Having delivered variations of this system with organisations for years, Andrew describes finally building it out fully over the summer as genuinely exciting, a rare reaction for him. Subscribe to In AI Nutshell for daily ten-minute AI insight and to follow the Story Lens Method rollout across podcast, YouTube, and LinkedIn.

Andrew Miles Davis covers three tools on this week's Cool Tools Tuesday, leading with a genuine change of opinion on Copilot's integration with Excel, which he had previously dismissed after a poor experience with a similar feature in Gemini a year earlier. He walks through five practical use cases including turning messy spreadsheets into instant insights, generating charts and pivot tables from plain language requests, writing formulas without needing to know the syntax, automatically cleaning data and standardising UK date formats, and summarising what has changed across workbook versions, concluding that the native Copilot integration outperforms both ChatGPT and Claude's Excel connectors. He also covers Umind.com's prompt library, a free daily-updated resource of trending prompts across images, video, and text, and IdeaVideo.ai, a free video generation aggregator giving access to Seedance, Veo, Kling, and other major models, positioned as a low-stakes starting point for marketers wanting to build video skills without committing to a paid platform. Subscribe to In AI Nutshell for three new tools every Tuesday with honest verdicts from someone testing them in real work.

Andrew Miles Davis wraps up a deliberately quieter August, using the extra time away from training to properly test three tools that shaped his month outside of his permanently retired ChatGPT and Whisper Flow. Claude Design handled the full front end of his new website, thestorylensmethod.com, built from a rough description in under an hour, and impressed him further with animation capabilities he plans to bring to LinkedIn content given the cost and complexity of sourcing motion graphics manually. Codex handled the back end, hosting the site directly and removing the traditionally fiddly process of domain purchasing, hosting, and name server configuration. Copilot rounds out the three, with Andrew revisiting a tool he had previously written off after a poor experience with Gemini and Sheets, now praising its native integration across Excel, Word, and PowerPoint, particularly for small formatting tasks he can now handle entirely by voice given his RSI. Subscribe to In AI Nutshell for a daily ten-minute update on what is actually worth using, from someone building real things with these tools every month.

Andrew Miles Davis covers a relatively quiet news week that still carried some significant stories, starting with new research suggesting AI written language now leaves fingerprints across roughly a third of the web, prompting a wider question about what happens to the value of original thinking as competent, AI-polished copy becomes the norm. He covers Hollywood creatives being paid to train AI systems on the exact skills that once made them employable, drawing a direct line to Ford's earlier decision to rehire staff it had replaced with AI in order to train the technology properly, and Dr Dre's public comments on using AI in music production, arguing that taste and judgement remain the irreplaceable skill even as AI speeds up experimentation. Other stories include New York enforcing disclosure rules for AI-generated influencers appearing in advertising, Twitch streamers suing Amazon over claims their content trained AI without consent, YouTube testing a prompt-based custom homepage feed, and AI identifying hidden patterns in breast cancer data that could help doctors tailor treatment more effectively. Subscribe to In AI Nutshell for the AI news that matters to marketers, every Friday in ten minutes.

Andrew Miles Davis continues his Story Lens video series by tackling why intelligent, well-informed people can look at the exact same evidence around AI and reach entirely opposite conclusions. Using the Moneyball story of traditional baseball scouts versus data-driven analysis as his central example, he argues that disagreement is rarely about who has the facts and far more often about which facts each side considers important. This lands in what he calls the Divide stage of his Story Lens framework, one of seven stages built around the "stranger comes to town" story structure, where disruption forces people into genuinely different readings of the same change rather than clean categories of understanding versus not understanding. Drawing on his own decision to leave the BBC for MySpace in 2006, a move that looked reckless to almost everyone at the time, Andrew offers a five-question method for evaluating competing arguments without immediately picking a side, including using AI itself to stress-test your own position rather than outsource the decision entirely. Subscribe to In AI Nutshell for daily ten-minute AI insight and to the YouTube channel for the full Story Lens series.

Andrew Miles Davis breaks down a recent Social Media Examiner marketing report, walking through the key statistics with his own honest reaction to each. Daily AI usage among marketers has jumped from 37% to 73% in two years, while a genuinely striking finding shows Claude has overtaken ChatGPT as marketers' most important single tool despite ChatGPT still leading on raw usage, a shift Andrew traces back to Anthropic's public stance against government surveillance and weapons work last year. He highlights that 85% of marketers now pay for AI tools, with the majority spending their own money, reinforcing his ongoing argument that the era of doing everything for free is ending and people need to shift their mental model toward paying for AI the way they pay for a phone bill. He also covers the gap between interest and adoption in AI video, where the desire to learn far outpaces actual usage, and the significant gap between AI agent hype and real-world adoption, with only 11% of respondents using them regularly despite widespread interest. Subscribe to In AI Nutshell for daily ten-minute episodes breaking down what's actually happening in AI marketing data.

Andrew Miles Davis marks 76 weeks of Cool Tools Tuesday with three picks, leading with Happy Shrimp, an AI music generator that has become one of the most talked-about tools of the summer despite its unusual name, competing directly with Suno, Udio, and Producer AI. Running his standard test prompt, Andrew found it produced strong results on the first attempt, making it a genuinely good starting point for anyone new to AI music generation. He also covers a quietly significant update to ChatGPT Images, which now supports proper transparent background generation, removing the need to route images through Canva for background removal and matching that quality directly inside the platform. The episode closes with FindOutMy.com, a lighter tool that analyses uploaded photos and gives feedback on posture, presentation, style, and physical presence, which Andrew tests on himself with mixed seriousness while flagging it purely as entertainment rather than anything to take too literally. Subscribe to In AI Nutshell for three new tools every Tuesday with honest verdicts from someone testing them in real work.

Andrew Miles Davis tackles a problem that has been genuinely frustrating him, AI's tendency to forget context that matters even after hours of collaborative work, and breaks it down into three distinct levels of memory. Global memory covers broad, stable facts about a person that reasonably follow them across every conversation, but cannot hold detailed project context without becoming unwieldy and contextually inappropriate. Project memory creates a boundary around a specific piece of work, letting AI hold format, audience, and history for something like a podcast or campaign, but still leaves the AI deciding what within that boundary actually deserves to be remembered. The third and most reliable level involves building an external memory system, real files and notes that the user controls and updates after each session, which AI reads as a record rather than relies on recall for. Andrew shares his own practical example of maintaining a simple status file for major projects that gets updated after every working session, eliminating the need to hope AI remembered the right details. Subscribe to In AI Nutshell for daily ten-minute episodes that dig into how to actually get better results from the AI tools you already use.