Intelligent AI Workflow for Context-Aware Task Automation

In this project, i demonstrated how a workflow can move from raw input to structured, actionable output using AI-driven logic. The process begins with configuration to capture context, followed by a Think Mode where the AI interprets intent and enriches understanding. Next, the Act Mode executes the requested tasks with precision, guided by structured parsers that enforce consistency and reliability.

The workflow outputs JSON-based results that are accurate, repeatable, and ready for integration into client systems. This approach ensures clarity, reduces errors, and accelerates automation delivery for business-critical processes.

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