bmad-distillator

Document distillation for LLM consumption compresses textual documents by applying intelligent deduplication, thematic grouping, and language-level compression to minimize source tokens while preserving context without loss.

Yes, document distillation allows customization options where you provide inputs such as the desired distillate size or specify particular sections for inclusion, enabling flexibility to match various LLM workflow requirements.

Automatic routing during document analysis evaluates the content and dynamically directs it to optimal processing steps. This ensures the language-level compression and deduplication mechanisms are applied efficiently for LLM workflows.

Yes, the bmad framework is a required dependency to run this document distillation process. You must have the bmad environment configured to execute the automatic routing and compression scripts.

The best way to prepare large textual documents for AI workloads is through lossless document distillation, which applies thematic grouping and deduplication to compress source information while strictly preserving key details and context.