Multi-Agent Systems

Key idea: Multi-agent means splitting work across specialized model calls. It can help when each agent brings its own data, but every handoff costs time and money.

  1. Send the same idea as Single agent, then as Team. Compare the score, time, and cost.
  2. Switch to Team + critic. Does the review round raise the score enough to justify the extra calls?
  3. Turn off Specialists in parallel. Same work and cost, but watch the time go up.
  4. Try Single agent on the Smart model against Team on the Fast model. Which wins, and at what cost?
  5. Send the same idea twice with the same settings. Scores move a point or two: judge one run with care.
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Compare runs · quality vs. time and cost

Send a feature idea. A judge scores every run so you can compare patterns.

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