Everyone loves to blame the model when a RAG system hallucinates or misses a crucial contract clause. But if you're feeding it messy, unstructured PDF data without proper semantic chunking, even GPT-5 will fail. We were spending hours tuning prompts for enterprise clients until we realized the bottleneck was the ingestion architecture. We deployed 'The Ghost-Free Pipeline' on the outbound side to secure the consulting contracts, and then built a clean Data Vault 2.1 framework internally. The pipeline ensures we only speak to CTOs who actually understand data maturity, saving us from nightmare 'lift and shift' migrations. What's your biggest headache—cleaning the data, or getting leadership to invest in the right architecture?