structured multi-agent prompting

Structured multi-agent prompting replaces bloated, single-prompt architectures with a network of specialized LLM agents following strict inter-agent communication protocols.

This technology moves beyond monolithic system prompts by decomposing complex tasks into a modular hierarchy of specialized agents (such as Planners, Researchers, and Verifiers). Each agent operates within a narrow scope, receiving instructions through standardized schemas and passing structured data (JSON or Markdown) to the next node in the workflow. By implementing positive prompt specifications and thin routing, developers reduce token overhead by up to 70% and eliminate the behavioral drift common in massive, instruction-heavy prompts. It transforms unpredictable AI outputs into a reliable, auditable pipeline where each state has a clear purpose and isolated debugging capabilities.

https://aws.amazon.com/builders-library/from-prompt-spaghetti-to-structured-multi-agent-systems/