... through this ourselves at @Basedash: AI

... Happy to share our latest changelog for @Basedash: AI

... chat window and get told it was incredible, you were brilliant, and that you should absolutely build it. Founders basically had a 24/7 yes-man for $20 a month. Now when I bring an idea for something in @Basedash: AI

... built the first version of @Basedash: AI

... Google news- Keeps me updated Comment from Justin George(@georgejustin22): Claude/ChatGPT for brainstorming, coding, PRDs Slack: team communication Helium: my browser Gmail: obviously Bitwarden: password manager Comment from Max Musing(@maxmusing): @ChatGPT by OpenAI for learning, analyzing, drafting @Basedash: AI

... spent nearly four years on one idea before I finally pivoted to what I'm building now ( @Basedash: AI

... ends up being the data model, permissions, context, and trust layer around the AI

... level is the macro version of what we're shipping at the runtime level (tokenwall.dev, also launched today, circuit breaker for runaway agent loops at iter 3). adjacent problems, different layers. how are u thinking about per-agent vs per-user attribution in intrascope? that's the granularity question that keeps coming up in our convos. Comment from Atul Yadav(@atul_yadav20): @intrascopeai   agree on per-agent / per-workflow becoming the next layer. the gap i see most often ... ... Comment from Vladimir(@vkrstic): @carolina_ellen  Thank you Carolina, really appreciate it! Excited to finally have this update live. Comment from Max Musing(@maxmusing): Yup, definitely feel this. I'm working in a totally different space with @Basedash