A few months ago, someone who isn't an accountant built the world's first AI accountancy firm. Eleven AI "colleagues". Each with a name, a job title, and a workstream. And a managing partner called Grace Ledger. I sat down with Alexis Kingsbury ... the man behind it, and author of the number one Amazon bestseller Accrual Intentions ... to find out what actually happened. It's not a story about AI replacing accountants. It's far more useful than that. In the conversation we get into: - What "agentic AI" really means, and why it changed everything in 2026 - How his AI team built 108 files in 8 minutes ... and where that went badly wrong - The moment the AI confidently pushed him to take paying clients with no AML registration - Why you should never let AI do your calculations, and what to do instead - Why confident, beautifully presented AI errors are harder to spot than a junior's - What this all means for junior roles and the future of the profession My honest take ... this was one of the most eye-opening chats I've had all year. Alexis is refreshingly straight about where AI is brilliant and where it's genuinely dangerous. 👉 The recording is here (Please help support the YouTube channel by Liking the video and subscribing). Have a watch, then tell me in the comments ... would you ever let AI loose on your own year-end accounts? 👇

Some of the most worthwhile conversations I've had with ChatGPT (and sometimes Claude) aren't planned. The first question I ask isn't a straight line to the last answer. It's like having a human conversation over coffee. One thought leads to another and before long you've covered a lot of ground. What I was struggling with is what to do with the ideas that bubbled up during the chat. There were things I wanted to come back to at some point but rereading long conversations wasn't practical. So, I created an instruction doc that does the work for me. It isn't a summary of the conversation. It goes deeper. It extracts opportunities, insights, topics, newsletter ideas, and more. Each of these has to connect with other work I'm doing and have a life of at least 6 months. I save this as a working doc in my local Discovery Library. Once a week I add these to a Project and ask AI to give me a fresh review with specific instruction criteria. This discovery process has given me a place for my thoughts to land until it's time to do something with them.

Two Chinese AI companies released frontier models last week that they say can compete with the best from OpenAI and Anthropic. And they're giving them away for free. Moonshot launched Kimi K3 ... a massive model with 2.8 trillion parameters. They say it only trails OpenAI's GPT-5.6 Sol and Anthropic's Claude Fable 5. Alibaba followed with Qwen3.8 Max at 2.4 trillion parameters, claiming it's second only to Claude Fable 5. Here's what makes this different from the usual AI announcements. Both companies are making these models fully open-source. That means any developer in the world can download them, modify them, and build new tools on top of them. While the big US labs mostly keep their best models locked behind paid subscriptions, China is betting on giving theirs away. Demand for Kimi K3 was so high that Moonshot had to temporarily stop accepting new users ... they literally ran out of computing capacity. A few things that stood out to me: - The gap between the best open-source and closed-source models is getting smaller - More competition means better AI tools at lower prices for everyone - Open-source models give smaller companies and developers access to capabilities that used to be locked behind expensive APIs America still has big advantages in chips and investment. But the lead is narrower than most people realise. Do you think open-source AI will win out over closed models in the end? Or will the big US labs stay ahead? 👇

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I have become quite fed up with QBOA. Wish the old Desktop were still around. That being said, anyone else been been frustrated? Any other accounting software you recommend? The AI built into QBOA is making more problems with incorrect COA entries.