How AI helps me leaving work so I can pick it back up
I work across several projects and can’t keep every detail in my head. Here’s how I use folders, handover notes and AI to pick up where I left off.
A collection of 54 posts
I work across several projects and can’t keep every detail in my head. Here’s how I use folders, handover notes and AI to pick up where I left off.
AI is very good at tasks and not so good at plans. The difference is continuity, and it turns out nothing carries that forward unless you build it yourself, to your context.
AI won’t transform areas like healthcare simply because the models become more capable. Its real potential depends on something far less glamorous: connected data, secure infrastructure and engineering systems that make AI worthy of our trust.
AI has enormous potential, but adding it everywhere is not the same as making work better. The useful question is not whether AI was involved, or how much it produced, but whether it helped make better decision, a faster delivery, a clearer plan, or a measurable change in how work gets done.
When working with AI, notes, decisions, project history, and working context should live somewhere you control.
Every model/approach to any problem you choose will have limitations. That’s unavoidable. The mistake is thinking you can design your way around that upfront. You can’t. The only real choice is which problems you want to have.
The LYQD exchange has launched! Here I am talking about it.
Managing multiple projects without burning out? It’s possible - but only with the right systems. Here’s how I use Notion, AI, themed workdays, and systems to stay focused, protect my energy, and actually enjoy the process (most of the time!)
How I fixed the Navbar when upgrading the Massively Ghost theme
A question you should ask if you're starting a business.
It's been a while but I've been working on a few projects that I'd like to share: * I'm working with LYQD to build the first
Following on from a previous post about directly detailing the worst case scenario if we don’t succeed at something (and then realising that it usually isn’t anywhere near as bad as