
Fab
907 posts

Fab
@FabParad
@cursor_ai ambassador in 🇫🇷. ex-private equity investor, now builder. love finance, tech and building community.


And that’s just scratching the surface. We’ve also made a ton of under-the-hood improvements across speed, ergonomics, color, and contrast, with even more optimizations on the way



There’s a fundamental difference between taking an existing process and applying AI agents to it vs. taking a process from scratch and designing it from the ground up for AI agents. The gap we’re going to see will widen between the teams and companies that are able to do the latter instead of just the former. In theory it would have been ideal for all the gains of AI to have come “for free”, but there are both clear constraints of AI (like getting the context right) and clear upsides (like being able to execute code and run in parallel) that the workflows themselves must be redesigned to take full advantage of this technology. One of the biggest implications that will come into focus is that agents that can write and run code, and interact with any API, will lead to agents effectively being expert engineers applied to your business process. So to some extent one of the biggest ways of reengineering a workflow is to ask yourself: what would you do if you had an infinite number of capable engineers write software for this process. What if those engineers wrote code to connect your disparate data sources, comb thorough any amount of unstructured data, automate your repeated tasks, connect your various systems together specific to your process, and so on. Not every process has that upside, but there tons of tasks that we do every day across marketing, finance, operations, and even sales, where a programmer with infinite code writing and API access would be able to make something go far faster or produce way more output. The teams that start to think this way will start to operate entirely differently.






Trying something new with my Openclaw. What if with AI, git was the best way to store a knowledge base? Think about it, everything shared in Markdown files, in a common repo (between AIs and Humans). You know who changed what, when and can rollback if anything is messed up.




















