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Tutorial: How to Plan a Responsible AI Task Copilot in Next.js Using Research

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A new tutorial from the Gate of AI series guides product and engineering teams in planning an AI-powered task copilot for Next.js before selecting any specific tools or frameworks. The guide grounds its approach in verified research, including a 2023 Microsoft study showing developers completed tasks 55.8% faster using GitHub Copilot, while cautioning that such results are not universal. A second study found that AI suggestions can subtly influence human decision-making, reinforcing the tutorial's emphasis on human review interfaces as a core part of the product. The tutorial outlines a narrow first-version scope where the AI only returns recommendations — such as category, priority, and effort estimates — without autonomously altering tasks or triggering external systems. Rather than prescribing a specific tech stack, the guide offers a durable planning framework that teams can apply once they have verified their chosen tools against current documentation.

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Tutorial: How to Plan a Responsible AI Task Copilot in Next.js Using Research · ShortSingh