Generative AI & LLMs
Agentic Workflows & Multi-Agent
7 practice questions. Free questions open a full answer guide; the rest unlock with Pro.
- Your multi-agent system passes its demos but fails intermittently in production — sometimes a worker returns garbage the orchestrator trusts, sometimes the whole thing stalls. How do you make a system like this observable enough to actually diagnose and fix?
- In a multi-agent setup where an orchestrator hands subtasks to specialized worker agents, one worker's wrong output becomes the next agent's assumed fact and the whole run goes off the rails. How would you design against this cascading-failure problem?Go Pro
- In a system where a lead agent coordinates several sub-agents, how do you manage what context flows between them — and why is sharing one big context window across all the agents usually the wrong move?Go Pro
- An agent in your system keeps getting stuck in loops or wandering off-task on long, multi-step jobs. What design changes would you make to keep it on track without just hard-coding the whole flow?Go Pro
- What is the orchestrator-worker pattern in a multi-agent system, and when would splitting work across multiple agents help versus hurt?Go Pro
- You're building a multi-agent system where an orchestrator delegates subtasks to specialized worker agents. Walk me through how you'd manage context across them, and why you wouldn't just run everything in one agent's context window.Go Pro
- You're deciding whether a complex task should run as one capable agent in a loop or as a multi-agent system with an orchestrator dispatching specialized workers. How do you make that call, and what does the multi-agent version cost you?Go Pro
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