Operator-ready prompt for reuse, tuning, and workspace runs.
This item is set up for developers who want to inspect the original language, fork it into Workspace, and adapt the evidence model without losing the source prompt structure.
Implementation handoffs, eval setup, and prompt tuning where you need the original structure intact.
Inspect first, copy once, then fork into Workspace when you want variants, notes, and model settings attached to the same run.
Swap domain facts, examples, and any hard-coded entities for your own context.
Tighten the evidence or verification requirement if this is headed toward production.
Decide which failure mode you want to evaluate first before you branch the prompt.
This prompt already carries implementation detail, tool context, and a final-output instruction. Keep that structure intact when you tune it, or your comparison runs get noisy fast.
Open this prompt inside Workspace when you want a live iteration loop.
Copy for quick reuse, or run it in Workspace to keep prompt variants, model settings, and prompt-history changes in one place.
Structured source with 1 active lines to adapt.
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Prompt content
Original prompt text with formatting preserved for inspection and clean copy.
Modify your Vercel AI SDK agent to use Groq Cloud for inference of Gemini 3 Flash for understanding complex game states and rapidly generating initial suggestions. GPT-5 Pro (also via AI SDK) should then be used for refining the dynamic UI structure or providing detailed strategic plans. Demonstrate how to configure multiple models within the AI SDK, routing specific tasks to Groq Cloud for low latency. Provide the updated `api/chat` code.
Adaptation plan
Keep the source stable, then branch your edits in a predictable order so the next prompt run is easier to evaluate.
Hold the task contract and output shape stable so generated implementations remain comparable.
Update libraries, interfaces, and environment assumptions to match the stack you actually run.
Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.
Copy once for a pristine source snapshot, then move the prompt into Workspace when you want variants, run history, and side-by-side tuning without losing the original.
Prompt diagnostics
Quick signals for how structured this prompt already is and where adaptation work is likely to happen first.
This prompt is mostly narrative and instruction-driven, so you can adapt examples and output constraints first without disturbing the structure.
Real-time Adaptive Gaming UI Agent
Develop a cutting-edge, real-time adaptive gaming UI agent using the Vercel AI SDK. Inspired by the Windows 11 Xbox mode and the concept of dynamic interfaces for new form factors like foldable phones, this challenge focuses on generating contextual UI elements or providing real-time in-game assistance. The agent will leverage the ultra-low latency inference capabilities of Groq Cloud and scalable model serving via Vast.ai. GPT-5 Pro will handle complex UI generation logic and strategic advice, while Gemini 3 Flash will provide rapid understanding of game state and user intent. The agent will adapt its suggestions and interface elements based on real-time game events and player actions, with Argus integrated for monitoring performance and user engagement.
Use the challenge page to recover the original task boundaries before you tune the prompt. That keeps your variants grounded in the same evaluation target instead of drifting into a different problem.