Assign each subtask to an agent — switching costs 3.

Each agent has a cost per subtask (its specialty is cheap). Handing off between consecutive subtasks costs 3. Hand off only when the saving beats the switch.

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

Total cost

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task 6

task 7

Multi-Agent Handoff — practice the decision, scored against the optimum

What does the Multi-Agent Handoff puzzle teach?

Hand off to a specialist only when the gain beats the handoff cost — constant switching costs as much as never switching.

Why do interviews ask about this?

Splitting work across agents is the multi-agent-design interview: minimize handoff cost and total latency.

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

Multi-Agent Handoff · D5

Assign each subtask to an agent — switching costs 3.

Each agent has a cost per subtask (its specialty is cheap). Handing off between consecutive subtasks costs 3. Hand off only when the saving beats the switch.

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

Total cost

tap to assign

task 1

task 2

task 3

task 4

task 5

task 6

task 7