Researchers now use large language models to streamline the early stages of socio‑environmental planning. By feeding stakeholder narratives into an AI template, the system extracts core variables, assumptions, and policy levers, cutting hours of manual coding. This approach preserves diverse perspectives while accelerating model construction, making complex planning more accessible and timely.