ki-delegate

Task decomposition across agents and model tiers is automated by classifying tasks as judgment, mechanical, or research, then matching them to appropriate models. This ensures complex multi-task efforts are distributed efficiently and safely.

Coordinating dependent tasks for parallel processing requires organizing tasks into logical rounds. The sequencing mechanism handles assignment and gating, ensuring smooth execution and safety review across all agents involved.

Yes, multi-task assignment requires appropriate agents and models for task handling. The system matches task complexity to specific agent types and model tiers, ensuring optimal execution and safety review within the Claude Code runtime.

Model tiering for complex project tasks works by categorizing tasks as judgment, mechanical, or research. The system then matches these classifications to appropriate model tiers based on complexity to optimize execution and safety.

Yes, you can gate and review results across multiple agents. The system manages result review and gatekeeping to maintain quality and safety, ensuring all outputs meet standards before proceeding to the next task round.

Task sequencing fails during multi-task parallelization if tasks are not properly organized into rounds or lack appropriate gating. The system requires correct classification, assignment, and safety review configurations to ensure smooth parallel processing.