The honest answer is it doesn't help a ton, at least not in its current form. It's fun to look at, and occasionally I'll see some interesting semantic connections between articles - but by far the more useful tools here are the wiki generation, auto-tagging, and chat/MCP features. The graph view definitely needs more love - if anyone has thoughts on how to make it more useful, I'd love to hear them.
FOMO is making me feel like I should mess around with openclaw but I can’t see any use cases that I can’t accomplish with other tools. What should I do based on this article?
- Review more thoroughly -> easier said than done if you want to keep velocity
- 'Vibe code' some unit tests -> yep, we do that
- Document and communicate the things that are in people's heads -> agreed, that's the hard part in practice :/
This has been my approach and of course what you lose is the "random and surprising" (maybe good) but also the "evolutionary" aspect.
So, if you write strong tooling (even with AI) around the connection points - you can create blackboxes tht are secure and only allow the agent to perform certain actions. The blackbox email service calls out to a secure store (for keys/etc) and accesses your emails in a read-only way, etc (for example).
Everything is then much more intentional. You're writing tools for your agent but you also can't do fun or evolutionary things which is most of the fun behind OpenClaw. That and many people seem to genuinely see them as 'pets' or 'strange Ai friends' but that's a different problem and it's due to the interesting methods OpenClaw uses to give the illusion of intelligence, always on, and memories. These are all well know (variations on RAG, markdowns, etc)
Cheaper. Every month or so I visit the models used and check whether they can be replaced by the cheapest and smallest model possible for the same task. Some people do fine tuning to achieve this too.
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