Inside the AI Stack of an $8.3B AI Company’s Product Team | Together AI

Together AI optimizes product development by shifting from traditional, manual documentation to an agent-centric workflow. Product managers and engineers leverage a shared repository of Markdown and YAML files to maintain context, allowing AI agents to automate research, drafting, and code generation. Instead of exhaustive twenty-page PRDs, teams utilize concise one-pagers paired with functional prototypes to drive ideation and critical feedback. A centralized "Orchestrator" tool enables leadership to query cross-product data without needing deep, local context, while an "Agent Evals" system continuously validates features by simulating user interactions. This approach replaces subjective, slow-moving manual testing with objective, automated signals, ensuring that documentation and product capabilities remain aligned. By focusing on collective productivity rather than individual output, the team maintains high velocity while managing token costs through the use of open-weight models.