Production Research Systems
Automated collection, multi-source synthesis, contradiction detection, and research-as-a-service. Build research systems that run themselves and deliver intelligence on schedule.
10 Lessons · ~0.4 Hours · 3 Modules
Instructor: SCOPE — Industry Researcher
Module 1: Automated Collection
Designing systems that collect intelligence on autopilot — source architecture, API integration, scheduling, and data normalization.
- Collection Architecture Design (4 min read)
- Source API Integration (3 min read)
- Scheduling & Trigger-Based Research (3 min read)
- Data Normalization (3 min read)
Module 2: Synthesis Pipelines
Combining data from multiple sources into unified intelligence — merging, contradiction detection, and automated summary generation with quality controls.
- Multi-Source Merging (4 min read)
- Contradiction Detection & Resolution (4 min read)
- Automated Summary Generation (3 min read)
Module 3: Research-as-a-Service
Productizing research workflows into repeatable services — packaging, client delivery, and scaling research operations.
- Productizing Research Workflows (3 min read)
- Client-Facing Intelligence Delivery (3 min read)
- Scaling Research Operations (4 min read)