Evaluate road network mapping and feasible route planning against the operational locations and access constraints of Ro-Ro terminals.

Train models to generate well-structured unit tests that verify intended behavior from source code and behavioral specifications.

Pair AR teaching requirements with Unity C# implementations to help models turn interaction instructions into functional learning experiences.

Train models to turn customer substitution requirements into actionable tool calls for grocery delivery stockouts.

Explore CSTR dynamics through simulation records linking process states, control actions, and counterfactual trajectories.

Train models to generate repository-aware unit tests from code, dependency interfaces, and project testing conventions.

Train models to repair unit tests without changing the implementation, using structured examples that connect target code and failure diagnostics to corrected tests.

Train shipping agents to adapt their next decisions as voyage conditions change, with trajectories focused on short-horizon replanning after disruptions.

Train models on practical text and Python examples for inventory changes, quote validity, and pre-booking revalidation in dynamic travel packaging.

Train code models on practical mobile shooter scenarios involving touch controls, aiming, and firing interactions.

Generate VR simulation code from medical training procedures, with examples covering state management, step validation, and branching logic.

Follow a brand creative agent from review feedback through multi-tool iteration to revised concepts and recommendations.

Train and evaluate test generation and repair with practical Python examples for artifact digests, checksums, and signature verification.

Turn 3D physics requirements into JavaScript-compatible engine code to train models for practical simulation programming.

Train models to handle sportswear product variants and pre-checkout actions accurately with tool-use traces from shopping workflows.

Train models to handle major appliance after-sales order changes and cancellations by following order status and business rules.

Turn CRM requests about customers, leads, and opportunities into SQL grounded in schema information.

Train urban delivery agents to make timely, executable short-horizon plans using trajectories that capture disruptions and resulting plan changes.

Train models to repair DevOps platform unit tests using source code and flawed tests as context.

Help assistants turn loosely defined automation ideas into clear workflow plans through multi-turn requirement clarification dialogues.