You design computational engineering problems to challenge a frontier AI model. The problem must have an answer verifiable by code, and must require a specialized tool like ngspice, scikit‑rf, python‑control, pandapower, or others. Each problem runs inside a sealed Linux container with the tool pre-installed and a programmatic judge that grades the model's answer.

As an expert author, you:

• Pick an anchor tool and design a problem that hinges on its solvers, simulation kernels, or domain‑specific models.
• Write a Python reference solution, supply netlist files and circuit definitions where needed.
• Decide the numerical answer and how close the model needs to get ‑ with a domain‑appropriate tolerance ‑ to count as right.
• Test the problem against the model in batches of parallel attempts, tuning the problem difficulty until the agent only succeeds in a small number of attempts.
• Once you’r...