The latest articles on DEV Community by 肖益成 (@yichengxiao). https://dev.to/yichengxiao https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F4165843%2F692039bc-617b-42c6-aa94-3378ae94df02.png https://dev.to/yichengxiao en 肖益成 Tue, 06 Oct 2026 08:35:16 +0000 https://dev.to/yichengxiao/how-i-structured-an-ai-academic-assistant-for-students-the-verla-ai-workflow-1i2b https://dev.to/yichengxiao/how-i-structured-an-ai-academic-assistant-for-students-the-verla-ai-workflow-1i2b <p>Building study tools has taught me one thing: students don't need another chatbot. They need a workflow that takes them from an assignment prompt to a finished, reviewable draft.</p> <p>That's the idea behind <a href="https://verla.io" rel="noopener noreferrer">Verla AI</a>, an AI academic assistant I've been working on for university and college students. Here's how the pieces fit together.</p> <h2> The workflow </h2> <p><strong>1. Draft with context.</strong> Instead of dumping a generic essay, Verla's AI essay writer works from the assignment requirements and academic context you provide — essay type, topic, sources you're working from — so the first draft is structured around the actual task.</p> <p><strong>2. Support every assignment type.</strong> Beyond essays, the same workflow covers research papers, literature reviews, lab reports, case studies, presentations, and coding or data-analysis assignments.</p> <p><strong>3. Review before you submit.</strong> Two tools handle this side: an AI detector that flags AI-generated content in a draft, and an AI humanizer that reworks AI-assisted text for readability, sentence flow, and natural expression while keeping the original meaning.</p> <h2> Why detection and humanizing matter </h2> <p>Most students already use AI somewhere in their process. The problem isn't using it — it's submitting text that reads like a machine wrote it, with no opportunity to review what's actually going out. Pairing generation with a detector and a humanizer closes that loop: generate, check, refine, then own the result.</p> <h2> What's next </h2> <p>I'm iterating on the research side (source organization for longer papers) and the presentation maker. If you're a student or you build for education, I'd genuinely like feedback: what does your current essay/thesis workflow look like, and where does it break down?</p> <p>Verla is web-based and subscription-based, starting at $2.99: <a href="https://verla.io" rel="noopener noreferrer">verla.io</a></p> ai productivity studytips