What problem does it solve?
It converts messy inbound content (meetings, articles, media, documents, and conversations) into structured, cross-referenced brain pages with provenance citations.
Core Features & Use Cases
- Entity-first ingestion & enrichment: Detects people, companies, concepts, dates, and events on every inbound message and updates or creates brain pages accordingly.
- Timeline and cross-link propagation: Adds reverse-chronological timeline entries and maintains “Iron Law” back-links between entity pages and the ingested page.
- Provenance-preserving raw capture: Preserves raw sources/transcripts for every ingested item via gbrain raw uploads and requires transcript back-links for media.
- Content-type specific workflows: Fetches and summarizes web content, extracts text from PDFs/documents (including OCR when needed), and parses video/podcast transcripts with quotes and speaker attribution.
Quick Start
Use the ingest skill to ingest an item by saying: ingest this meeting/article/transcript, and route it into the brain with full provenance and entity cross-references.