If anyone wants AI to help them understand a topic, Google's NotebookLM is amazing. Give it a prompt of what you're interested in, it finds sources (or lets you add your own) and generates videos, podcasts, slidedecks or flashcards to explain it. Here's a video it put together for me in 10 minutes to explain OneStream financial analytics software (after I couldn't find anything suitable on Youtube).

Wes McKinney's dropped this thesis in a Data Renegades Podcast: AI has created radical accountability for every software vendor. Building software just got dramatically cheaper. One engineer with a Claude subscription can prototype a replacement for tools that entire teams used to tolerate. Customers no longer have to accept mediocre products because the cost of leaving has collapsed. Wes's message to vendors shipping broken tools: "This is bad. Why haven't you fixed this yet? If I was on your engineering team, I would have already fixed this. I would have done it like today with Claude code." The flip side: a flood of AI-generated projects that only make sense to their creators. Hyper-personalized software with bad taste. The barrier to entry dropped, but the bar for credibility rose. "People are going to decide which companies to pay attention to on the basis of how credible the people are involved." Full episode linked in comments, or wherever you listen to podcasts #AIcodingagent #radicalaccountability #agenticworkflows #dataengineering #DataRenegades

The new BS in town is: “taste is the new moat.” Then people who say that go on to build a podcast summarizer. The point of an information stream isn’t to get a cleaner summary. It’s to sharpen your point of view. And that point of view should feed a real decision. But when you ask an LLM for help, you often get the opposite: more surface area, less conviction. Especially when the task is “summarize this article” or “give me the takeaways.” I’ve been thinking about how to turn what I’m reading and writing into better decisions, so I built a small tool for myself. At any point, I have 3-4 active decisions. For each one, I keep a working folder with my current stance and key questions I am grappling with. The pipeline is, ingest what I’m reading, map each chunk against an active stance, retrieve related notes from my own writing, and synthesize where the real leverage point is. So when a new article comes in, rather than asking "what is this about?” It asks: Does this strengthen my view, challenge it, or expose a gap in it? Then it checks my own notes for where I’ve already been circling the same idea, but hadn’t connected it clearly. The job isn't summarizing the content. It's testing my thinking against it. I’ll share a walkthrough next week: how the mapping works, how it connects to prior notes, and what happens when the model gets it wrong. The fundamentals of learning haven’t changed. We still need to read, process, and develop our own thinking. What has changed is the amount of noise.

Back at the podcast studio! Episode 9 of Skimlecast is now available on Spotify and Youtube channels. In this episode we talk about how academic users can get the most out of Skimle using for example manual coding, editing categories and exporting as codebooks. If you are a qualitative researcher, worth checking out how Skimle can help you dig deeper to your data, discover patterns and act as a second set of eyes in coding the data!

Most agencies don’t have a tech problem. They have an operating model problem. And more software won’t fix that. We recently joined Kylie Walker AKA That Property Mum on The Property Management Podcast to unpack what’s actually changing in our industry, and what’s getting in the way. In this conversation, CEO Curtis Thomson Thompson shares a grounded perspective on AI, automation and the role of software in property management: ☑️ Why most “automation” still creates work ☑️ What it looks like to actually remove admin, not just move it ☑️ How property managers can step out of reactive work and into more valuable roles If you’re reviewing your systems or feeling the pressure of constant admin, this is worth a listen. 🎧 Available wherever you listen to podcasts or via That Property Mum’s website: https://lnkd.in/gHA-Y5Pc

I had a great chat with Kylie Walker on the Property Management Podcast recently. One thing keeps coming up in conversations with agencies: You’ve added more software… but the work hasn’t reduced. That’s the problem. Most systems don’t remove admin. They just move it around. In this episode, we talk about what actually needs to change and where AI and automation can genuinely help (and where it can’t). If your team still feels stuck in reactive, day-to-day work, this conversation might resonate.

We’ve all been there: 47 slides, 12 bar charts, 3 disclaimers... and an audience that is collectively dreaming about their lunch. 🥗 In the latest Miles AI in Accounting Podcast, Rohini Sripada sits down with Mike Parkinson (Microsoft PowerPoint MVP) to deliver the truth: If your slides are confusing, people assume your thinking is, too. 🤯 Mike states that our brains are hardwired to ignore complexity just to save energy. If you’re presenting 20 charts instead of one clear recommendation, you aren’t being “thorough” - you’re being exhausting. In this Podcast, we’re breaking down: 🐄 Renshaw’s Cow: Why experts forget what it’s like to be a beginner (and how to fix it). 🐘 The Elephant & The Rider: Why your audience’s “gut” decides if they care before their brain even reads the chart. 🤖 The AI Trap: Why letting AI build your slides without human judgment is just “speeding toward mediocrity.” CPAs: Accuracy is the baseline. Clarity is the differentiator. 🦸♂️✨ If your message isn’t obvious, it’s optional. Don't be optional. 💎 🎧 Catch the full conversation here (Link in comments) #Accounting #PresentationSkills #MilesAI #DataVisualization #NoMoreBoringSlides #MilesMasterclass

We’ve been cooking something cool lately, and we hope you’re going to enjoy it. 🧑🍳 Get ready for the Software Mention podcast, where we share the recipes for building award-winning apps, and dive into: ✅ React Native ✅ business ✅ AI ✅ technology choices … and more. Stay tuned – the first episode airs next week, and we'll be talking with Simon Grimm, a developer, educator, and YouTuber you probably know from Galaxies.dev! 🚀

"I only knew how to fail with software. I didn't know how to succeed." A new episode of the it-agile Podcast "einfach gelöst" is available. Stefan Roock spoke with Henrik Kniberg about the early days of Extreme Programming and Scrum, the Agile Manifesto, what happened since then and AI. Links in the first comment.

If the world of custom GPTS and AI for clients feels daunting, this might be just the listen you need.