Verla NEW

Verla delivers an AI assignment assistant that automates generation of academic drafts, presentations, and code from provided instructions and supporting files.

Upload rubrics, lecture notes, PDFs, datasets, and other course materials to guide structure, formatting, and content requirements.

Generated outputs include citation-verified references sourced from academic databases and formatted in major citation styles.

Built-in AI detection provides pre-submission AI scores for draft review.

A humanizer module refines tone, wording, and multilingual translations to reduce AI signatures and improve readability.

Rubric-aware writing aligns structure, argumentation, and evidence with grading criteria and discipline-specific standards.

The workflow consolidates requirement upload, draft generation, AI scoring, and final polishing within a single interface.

Key Features

• Automated generation of academic drafts, presentations, and code from instructions and supporting files
• Support for uploading rubrics, lecture notes, PDFs, datasets, and other course materials to guide output
• Citation-verified references sourced from academic databases and formatted in major citation styles
• Built-in AI detection providing pre-submission AI scores
• Rubric-aware writing that aligns structure, argumentation, and evidence with grading criteria and discipline standards

Use Cases

• Generate a rubric-aware academic draft or lab report with Verla by uploading your assignment rubric and notes so the assistant structures content to match grading criteria, inserts citation-verified references, and provides an AI-detection score before submission
• Transform course materials and datasets into polished, grading-aligned presentations and reproducible code notebooks using Verla, which generates slide decks, analysis code, and bibliography entries tied to rubric checkpoints for classroom or conference use
• Prepare submission-ready assignments by running Verla's AI-humanizer and translation modules to adapt AI-drafted text into instructor-appropriate tone, remediate AI-detection flags, and ensure citation-verified sourcing for academic integrity

Who is it for?

• Undergraduate students
• Graduate students
• Phd candidates and thesis writers
• Researchers and academic scholars
• Instructors and teaching assistants
• Academic writers and editors
• Non-native english speakers / international students
• Instructional designers and course administrators
• Students in data science or computational courses