bmad-distillator

Lossless document distillation compresses source documents into dense, token-efficient distillates that preserve all facts, decisions, constraints, and relationships while stripping unnecessary prose to maximize context efficiency for downstream LLM workflows.

Use multi-document support with automatic routing and fan-out compression to process multiple source files, creating a single dense distillate that a downstream LLM consumes as full context to generate a complete PRD without missing key requirements.

Yes, optional round-trip reconstruction testing confirms zero information loss by validating the compressed distillate against original source content, ensuring high-stakes use cases like architecture design and PRD creation retain all critical data.

Document distillation handles very large content through optional semantic splitting, which divides extensive research reports into manageable segments before applying lossless, LLM-optimized compression to prevent token bloat.

The best way to reduce token bloat without losing critical constraints is lossless compression, which strips human-oriented prose from source documents while preserving every fact, decision, and relationship for downstream LLM consumption.

Use lossless compression instead of standard summarization when downstream workflows require full context without token bloat, ensuring no critical data is missing for high-stakes tasks like PRD creation or architecture design.