orchestration-pattern-selector

To choose the right multi-agent orchestration pattern, evaluate your task against an 11-signal matrix that scores topology characteristics to output a markdown dispatch plan with pattern rationale and coordination parameters.

A multi-agent dispatch plan is a markdown document that defines the selected orchestration topology, coordination details, and configured parameters required to reliably execute tasks across multiple AI agents.

Use a map-reduce orchestration pattern for massive parallel analysis and a sequential pattern for pipeline data processing, with the choice determined by evaluating the task against an 11-signal selection matrix.

Configuring a multi-agent jury pattern involves evaluating your high-stakes decision review task against the 11-signal matrix, which outputs a dispatch plan containing the required coordination details and configured parameters.

Yes, the generated dispatch plan is formatted in markdown to be directly compatible with parallel-dispatch or maestro-orchestration setups, providing the pattern rationale and coordination details needed for execution.

Selecting the wrong multi-agent topology causes wasted resources and complex debugging because the chosen pattern mismatches the task characteristics, directly impacting system performance, reliability, and quality.