{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/c8cb9768d8c24a3b90fd7d996bcae262\" frameborder=\"0\" width=\"1280\" height=\"960\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":960,"width":1280,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":960,"thumbnail_width":1280,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/c8cb9768d8c24a3b90fd7d996bcae262-3ffed3853933ccc1.gif","duration":240.711,"title":"Engineering a Model-Agnostic Lead Engine: From Raw Signal to HubSpot Deal🔥","description":"In this walkthrough, I demonstrate an end-to-end AI-Native Outbound Engine designed to eliminate administrative debt and protect CRM integrity. By leveraging custom HTML ingestion, n8n orchestration, and locally hosted LLMs (Ollama), I show how to transform unstructured market signals into high-fidelity HubSpot deals. This architecture prioritizes data sovereignty, zero marginal cost scaling, and human-level reasoning to replace manual SDR research with a high-integrity automated workstream."}