Question

A team is building a system that researches and writes competitive analysis reports. Each report requires investigating a variable number of competitors that are not known in advance — some requests involve two competitors, others involve a dozen. For each competitor, the system must gather data from multiple sources, then combine everything into a single synthesized report. The team wants a design where a central component decides how many subtasks to spawn at runtime based on the incoming request, delegates each investigation, and merges the results. Which agent/workflow pattern best fits this need?

Accepted Answer

Orchestrator-workers, where a central model dynamically breaks the task into subtasks, delegates them to worker calls, and synthesizes their outputs

Answer

Prompt chaining, where each step's output is passed directly as the next step's input in a fixed linear sequence

Answer

Routing, where an initial classifier sends the request to one of several specialized fixed handlers

Answer

Evaluator-optimizer, where one model generates a response and another critiques it in a refinement loop