agent-orchestration-advisor

Start by decomposing your task into discrete subtasks, assign each to a specialized agent, then choose a topology: full parallel for independent agents, pipeline for dependent steps, or hybrid for mixed flows. Define each agent's context boundaries, output format, and handoff specifications before implementation.

Good candidates are repetitive tasks taking 5+ hours weekly, sequential multi-step processes that could run in parallel, and work requiring consistency at scale like analyzing 50 features or synthesizing 100 interviews. Avoid orchestrating one-time tasks or work requiring continuous human empathy and judgment.

Yes, context engineering is the prerequisite foundation. Agents need a constraints registry, operational glossary, strategic priorities, and evidence standards to make decisions aligned with company values. Without this context layer, agents produce generic or misaligned outputs.

Use a launch control tower approach tracking agent completion time, output quality scores, and constraint violations. Choose manual weekly reviews, automated evals with alerts, or a hybrid. Combine golden datasets, code assertions for structural validation, and human evals for judgment-intensive outputs.

Skip orchestration for one-time or infrequent tasks where setup overhead exceeds savings, work requiring human empathy at every step like stakeholder negotiation, and tasks already fast enough. Orchestration amplifies judgment rather than replacing it.