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Google Opal offers a visualization-based workflow for building AI mini apps without code. It provides granular control over each step, allowing users to assign specific models per task. A February 2026 update added adaptive agent steps, persistent memory, and dynamic routing. Opal targets non-coders like teachers and professors who struggle with local AI's learning curve.
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