implementation

Workflow Initialization with Mastra AI

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Linked challenge: Bio-Adaptive Electronic Design Workflow using Mastra AI and Daytona

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Linked challenge

Bio-Adaptive Electronic Design Workflow using Mastra AI and Daytona

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Initialize a Mastra AI workflow in TypeScript that contains three steps: 'IngestMaterialsData', 'RunDaytonaSimulation', and 'ValidateDesign'. Set up the Mastra Agent to use a RAG tool for analyzing wet-tissue adhesive properties from the provided PDF URL.

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Hold the task contract and output shape stable so generated implementations remain comparable.

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Update libraries, interfaces, and environment assumptions to match the stack you actually run.

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Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.

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implementation

This prompt is mostly narrative and instruction-driven, so adapt examples and output constraints before you rewrite the structure.

Linked challenge

Bio-Adaptive Electronic Design Workflow using Mastra AI and Daytona

Engineers are developing strain-insensitive, wet-tissue-adhesive bioelectronics for adaptive therapy, as seen in recent Nature Materials publications. This challenge requires building an automated design workflow using Mastra AI in TypeScript. You will utilize Daytona to manage isolated environments for running multi-physics simulations that predict adhesive strength on moist surfaces. The goal is to design a biphasic interface that maintains a Signal-to-Noise Ratio (SNR) above 20dB even when subjected to 50% mechanical strain, simulating the conditions of a beating heart or expanding lung.

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