Reach safety_checked for the least total cost.

You start holding user_query. Each tool needs some facts and produces one, at a cost. Fewest tool-calls is a trap — the cheapest plan wins.

Practice — no rating pressure. Get as close to the optimum as you can; each play teaches the pattern.

Context held

cost 0

✓ user_queryparsed_intentretrieved_docsweb_resultsdraft_answercited_answerverified_answer◎ safety_checked

Agent Orchestration — practice the decision, scored against the optimum

What does the Agent Orchestration puzzle teach?

Reaching a goal with the fewest tool-calls is rarely the cheapest plan — orchestration is min-cost planning.

Why do interviews ask about this?

Planning under a tool/step budget is the agent-design interview: show you minimize cost and latency, not just “call the model more.”

How is it scored?

The engine computes the provably-optimal answer for the exact instance you played (dynamic programming, shortest-path, or exhaustive search — never a heuristic) and scores your attempt as a percentage of it. No login needed to see your score.

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Practice0:00

Agent Orchestration · D5

Reach safety_checked for the least total cost.

You start holding user_query. Each tool needs some facts and produces one, at a cost. Fewest tool-calls is a trap — the cheapest plan wins.

Practice — no rating pressure. Get as close to the optimum as you can; each play teaches the pattern.

Context held

cost 0

✓ user_queryparsed_intentretrieved_docsweb_resultsdraft_answercited_answerverified_answer◎ safety_checked