Reporting on spatial data shouldn't require you to "bake the same cake" repeatedly. I spent years collecting and processing environmental data, only to get bottlenecked at the reporting stage where it matters most. So, what did I do? I built a web platform to transform this workflow: leveraging open-source tools for powerful visualizations, cloud-optimised geospatial formats for scalable data access, Python's geospatial ecosystem for processing pipelines, and carefully constrained LLMs to automate report generation while preserving expert methodology. I'll share my journey and demonstrate how open-source tools made it all possible.