
GeniOS
19 posts








Proactive AI Agents Today’s AI products are reactive. You give the model a prompt, it responds with an answer. These are useful, but I’m excited about products that take this further and shift the paradigm from “ask → answer” to “observe → act." These agents will continuously monitor context in the background across all of your connected tools and data, predict what matters, and take action before being asked to do so – much like a human does. So instead of you prompting the model, the model will start prompting you. Examples here could include agents that remind you about tasks you forgot to complete, resolve customer issues before support tickets are filed, or debug and ship code fixes automatically. This shift represents a new paradigm where AI products behave more like humans and less like tools. We’re already starting to see this dynamic with products like OpenClaw, Poke, and more - and we’ve only scratched the surface of capabilities here. We’re accepting applications for the next cohort of @a16z @speedrun – If you’re building the next generation of AI products, apply online.

Why Intelligence Required? The agents execute. The thinking is still on you. @the_genios fixes this. The Intelligence layer that thinks behind your agents, reads your org's data, and tells your agents what to do next before you prompt. Earlier done by humans, now done by GeniOS. If this resonates, would love a short meeting or a warm intro to someone. thegenios.com

My first 6 years as a startup founder: - Failed with 4+ startups - Ran out of money multiple times & had $15K credit card debt - Was rejected by Y Combinator 8 times - Got 200+ rejections from investors My last year as a startup founder: - Got into a16z @speedrun & raised $18M - Moved to SF & got O1 thanks to @tmhammer & @lighthousehq_ - Scaled Rork to #1 AI mobile app builder in the world The average journey to a $1B company takes 10 years. I’m on year 7. Keep building.






