This project focuses on creating a realistic, enterprise-scale seed dataset simulating how a large B2B SaaS organization uses Asana for project management. The generated dataset is designed to serve as seed data for a reinforcement learning (RL) environment, enabling evaluation and fine-tuning of AI agents.

A Python-based system to generate realistic, enterprise-grade seed data simulating an Asana workspace. Designed for reinforcement learning environments, the project models organizations, teams, users, projects, tasks, subtasks, comments, and custom fields using research-backed distributions and LLM-assisted text generation.

Creating High-Quality Seed Data for Asana RL Environment

Creating High-Quality Seed Data for Asana RL Environment

Creating High-Quality Seed Data for Asana RL Environment

Creating High-Quality Seed Data for Asana RL Environment

Creating High-Quality Seed Data for Asana RL Environment

Creating High-Quality Seed Data for Asana RL Environment