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Simulation Environment Setup

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Linked challenge: Adaptive Multi-Cloud AI Resource Optimizer

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Linked challenge
Adaptive Multi-Cloud AI Resource Optimizer

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Outline the design for a realistic, yet simplified, simulated multi-cloud environment. What critical parameters will it track for each cloud provider (e.g., instance count, cost per hour, performance metrics, carbon intensity)? How will you present these simulated metrics to your agents, and how will agent actions (e.g., scaling up/down) dynamically affect these simulated parameters?

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Preserve the rubric, target behavior, and pass-fail criteria as the baseline for evaluation.

Tune next

Adjust fixtures, mocks, and thresholds to the system under test instead of weakening the assertions.

Verify after

Make sure the prompt catches regressions instead of just mirroring the happy-path examples.