I made some progress getting the data management foundations into Notion for a client. They're a growing organisation, still in start-up mode, but in need of more 'governance'. So I grabbed all the data from various places and - with the help of Claude - created a more intentional solution in Notion.
Closer to home, I refactored my content calendar. Originally, it held the publishing calendar for all my professional and Ode Map posts, along with content pillars, interesting dates and digital product ideas.
Now it's been split out into separate concerns. Ode Map and professional calendars are now individual, which better serves me, given that I manage these outlets as separate projects. The product ideas are now consolidated with others that were scattered around my file system. This was all made very easy by asking Claude to do the work, once I'd done the thinking about how it should all be handled. (I took backups of stuff first, of course.)
I also subjected my own, scrappy Notion to a bit of a spring clean. Given how well Claude and Notion work together, I'm moving more of my management to Notion (again) (don't ask). Now I have my contacts, companies, projects and tasks all nicely aligned and related. Also integrated my Granola notes, too.
Next step was to work through my 'way of working' and create some views, and a 'daily' and 'weekly' pages with suitable views to help me answer "what should I be working on?" and "what have I accomplished?" type questions. Also instructed Claude in how I do GTD with a view to maybe creating a dashboard, and probably an agent, to support it all.
Whilst I was on a run, I categorised all the articles I'd downloaded to my knowledge base. I had started to do the same for my eBooks collection, but there are over 200 of them and it's a bit daunting - even with help from our AI overlords - so I paused that. Markdown articles have been enhanced with Obsidian 'properties' which an LLM can index on. Articles that have not been converted to markdown (or never will, like visual-heavy presentations or chart-heavy reports) have an accompanying markdown file with said properties.
I also started looking at using mempalace. I have it set up on one of my projects, but not really getting much from it at the moment. Probably because I haven't understood it enough. I'll find some time next week to explore and experiment some more with this.
I published "Don't let urgency drive your AI adoption"; about how being strategic about AI uptake doesn't need more than a one-page checklist.
And "The Difference Between Collecting and Creating"; about readiness, procrastination, and why the fear of starting is the very reason why you should start.
For the first time in a long time, I managed to not do any 'work' work on Friday. Instead I made progress on one of my books for a couple of hours. That's about as much as I can do in a day. The rest of the time was been spent playing with the new oven and cleaning the patio. Living the dream.
My listening highlights this week:
- Doublespeak "Back to Nature" song. The only (currently) released song on the upcoming "Doublespeak" album. A Vince Clarke, Blancmange & Benge collaboration. See this NME article for more info.
- Janne Morgen "Menschen" single.
- Fat Hamster and KANG New - "Brains in a Vat" album. Korean electro-punk collaboration. See this Debaser article.