Verla is an AI assignment assistant for college students, combining academic drafting, presentation and coding support, reference handling, AI detection, and humanization in one workflow from requirements to submission.
What it does
Accepts assignment materials such as rubrics, lecture notes, PDFs, books, datasets, examples, and professor notes.
- Generates academic drafts, presentations, and coding work from prompts and uploaded requirements.
- Supports essays, research papers, reports, case studies, literature reviews, lab reports, slides, speaker notes, pitch decks, business presentations, Python, R, SQL, data analysis, algorithms, notebooks, and visualizations.
- Checks an AI score using Turnitin-style detection before submission.
- Refines writing to improve tone and make it sound more natural and human.
Key features
- AI assignment assistance for structured and academically focused essays.
- Rubric-aware writing that considers structure, argument, evidence, and formatting criteria.
- Discipline-specific guidance for areas including business, finance, economics, psychology, nursing, medicine, law, computer science, engineering, education, sociology, literature, history, and arts.
- References sourced from real academic databases, with support for APA, MLA, Chicago, Harvard, IEEE, and Vancouver citation styles.
- AI humanization and academic-text refinement between English, Chinese, and 30+ other languages.
- Professor-style quality checks covering clarity, evidence strength, structure, originality, and academic tone. What makes it different Verla presents requirements upload, draft generation, reference support, AI detection, and humanization as a single academic workflow. It is designed to use course-specific materials and grading criteria, rather than generating work from a prompt alone.