Leverage
Similarly, when everyone is saying the same things, simply asking why becomes revolutionary.
Alan Chan • My Vision: A Forgotten History


hate to admit it, but this tracks. ui design starts becoming more important the moment you have a sufficiently capable data structure/model in place
users will ask for features when what they actually want is a specific view
this probably explains notion » coda
notion has very good views and is adding automations after the fact
coda has very good automations and is adding views after the fact
my hunch is most people are visual learners. they prefer to have information laid out the right way and only then can they reason about it.
automations are reasoning before seeing
this is also why cli tools, chatbots, and other text based ui paradigms are niche or quickly fall out of favor. too much reasoning without the requisite framing.
Quote reply to the previous tweet that captures most of my thoughts well with lots of examples.
Excerpts:
(On design): When designing productivity software, conceptualize it as a medium first and foremost, and a tool secondarily.
(On chatbots as UI): Its browsing, code interpreter, and Dall-E tools are testament to this upside-down design philosophy: the tools go to work first, only thereafter you see some output.
With the exception of code interpreter, interactions with ChatGPT are largely stateless and transactional. Manipulations are indirect.

Convenience can indeed become a burden
dashboard is dead. long live the feed. | Feed for Thought
monofeed-blog-drmt.vercel.appIt's taken a long while. But I see it now. Store information for convenience. The search bar exists… and generally works
Technological change is only possible with societal (behavioral) change
To use databases, you need to be able to think about your data in a structured way. The people who could do that gained most of the leverage from using databases. The folks who made it easy for people to transition to databases (ERPs and Co) captured the rest.
AI systems are fundamentally scalable decision making engines. And data is the oil required to power it. If you want to properly leverage AI, you need to make sure you're fueling it with the best refined data.
Otherwise, you're no different than the drunk trying to reliably operate complex machinery. The only repeatable part of that is injury.



