Viewing profile — bhaviav100

I have been in revenue operations for a decade. For the last two weeks, I've started a personal 100-day challenge to study and build around what I've been calling a "Company Brain.…

Most companies deploying AI agents are accidentally building organizations. You start with one agent. It gets overwhelmed. You add more. They start routing to each other based on w…

This is great visibility..just checked the website..I will try this over weekend

Especially when you are running multiple agents for research

Sounds exciting..I liked the token counter concept. Didn't thought about it though. Do you have a GitHub repo?

I agree. This is huge market opportunity. I don't know whether anyone is building this

I haven't tried this .will do

If only there was a way to manage contexts better

Can you try this and let me know whether this helps you https://authority.bhaviavelayudhan.com/

The only way to make something better is to use it more

Exactly why I built this. But cost control is not an entirely policy problem. Policies are just guidelines.

This is interesting and I would love to understand more on this..is there a GitHub which I can look at? Here's something which would help you with another perspective on the contex…

Both yes and no .we don't have a way to predict or forecast this

Companies won't survive with seats pricing https://www.theoperatorscircle.com/journal/36

hmm interesting model routing + specialized MDs makes sense for cost efficiency. I’m seeing a different failure mode though that even with good routing, agents are looping or retry…

yes, compaction and smaller models help on cost per step. But my issue wasn’t just inefficiency, it was agents retrying when they shouldn’t. I needed visibility + limits per agent/…

My agents retry a bit more than it should, and there goes my bill up in the sky. I tried figuring out what is causing this but none of the tools helped much. and the worse thing fo…