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Everything you need to get started quickly.

Getting started

This guide will introduce Claire's core features to you.

Introduction

Our onboarding walks you through some of the core features of Claire.

Onboarding

The basic features and functionality of Claire.

Core features

A universal inbox for all student submissions that require your attention.

The universal inbox

Claire breaks long-form text into smaller pieces called “Blocks”. Blocks make it faster and easier for you to highlight and annotate particular sections of the student's work.

Annotate submissions

Chat with a document to analyze its content conversationally.

Chat with documents

The reference panel is a side panel with dynamic information to support your review process.

The reference panel

The rubric view shows all AI suggestions and grading remarks grouped by rubric criteria.

The rubric view

Grading insights help you grade faster — and more consistenly.

Grading insights

Everything you need to know about transforming annotations into feedback and publishing it.

Generate feedback

The scratchpad serves as a simple but effective way to capture thoughts and reminders.

The scratchpad

A deep dive into advanced features and technical details.

Deep dive

Learn how feedback reports are structured and what content they consist of.

Student feedback reports

Understand the difference between comments and grading remarks.

Comments vs grading remarks

Create assessment performance reports for your entire class at the click of a button. 

Class-level performance reports

When grading long documents, splitting text into groups can make reading submissions and reviewing AI suggestions easier and faster.

Splitting submissions into groups

The two different ways to review and annotate student work.

Keyboard or mouse?

Claire offers a keyboard-first grading experience. Learn all about shortcuts here.

Keyboard shortcuts

Learn about incidents, scheduled maintenance, and service announcements.

Status page

In alignment with the GDPR and EU AI Act.

Disclosures

Learn how your instructor uses AI to grade more consistently and provide you and your peers with better feedback through timely, personalized grading and feedback reports.

For students: How your instructor uses AI to create your report

LLMs pose AI-related risks such as hallucinations. To ensure that we preserve submissions in their original form and prevent hallucinations, we automatically flag interferences for you.

Hallucinations and text discrepancies

The Instructions for Use (IFU) is a manual for users and institutions that explains how to safely and effectively use the AI system. Under the EU AI Act, it ensures users and institutions understand the system’s capabilities, limits, human oversight, and safe operation.

Instructions for Use (IFU)

Discover the research and insights that inspired Claire.

Research

Comparing Generative AI and teacher feedback: student perceptions of usefulness and trustworthiness

Comparing GenAI and teacher feedback

How does artificial intelligence compare to human feedback? A meta-analysis of performance, feedback perception, and learning dispositions

How does AI compare to human feedback?

When AI explains in natural language: Unveiling the impact of generative AI explanations on educators’ grading and feedback practices

The impact of GenAI explanations on educators’ grading and feedback practices

The study explores how non-native English-speaking (NNES) students and higher education educators perceive generative AI feedback, using both dialogic feedback and ethical frameworks.

Claire Labs

How can we help you?

Getting started

Core features

Deep dive

Disclosures

Research