# 02 - Open Office

- **Event:** [OpenEnv Hackathon SF](https://cerebralvalley.ai/e/openenv-hackathon-sf)
- **When:** Mar 7 at 9:00 AM – Mar 8 at 12:00 AM (PST)
- **Where:** Shack15, San Francisco, CA
- **Team:** [Bharat Bhavnasi](https://cerebralvalley.ai/u/bvsbharat), [Harshal Hirpara](https://cerebralvalley.ai/u/Harshal), [Jeeya K](https://cerebralvalley.ai/u/humanbean)
- **GitHub:** https://github.com/bvsbharat/SuperOffice_env
- **Website:** https://colab.research.google.com/drive/1gGKzvWWevD4LVq7w9NOFvgzdup6CPdSy?usp=sharing
- **Demo video:** https://youtu.be/0i6xT683rMI
- **Hugging Face:** https://huggingface.co/HarshalH/office-os-loras
- **Gallery:** https://cerebralvalley.ai/e/openenv-hackathon-sf/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/openenv-hackathon-sf/hackathon/gallery/78

Problem
Existing RL setups lack the organizational complexity, role-based coordination, and dynamic market conditions that define how real companies operate. There is no adequate environment for training agents to collaborate and compete under real strategic pressure.
Solution
A multi-agent RL environment modeled on a startup's go-to-market motion. Agents represent real roles: CEO, Marketing, Sales, Dev, Planning, Content, and a Customer reward oracle. Each observes its local state, takes actions, receives a reward signal, and learns optimal behavior across episodes while coordinating with the full system.
Five scenarios stress-test the environment: Baseline GTM Launch, Competitor Launch, Series A Pressure, Churn Spike, and Viral Moment.
Multi-agent. Multi-mind. One office.

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