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Generative AI has fundamentally changed how we evaluate student work. Because written output is now nearly effortless to produce, traditional take-home assignments are rapidly losing their signal. Today, these assignments often measure a student’s access to AI tools rather than their actual reasoning, subject mastery, and agency.

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The shift to oral assessment

To recapture that lost signal, universities are shifting toward more robust formats like oral exams and interactive assessments. However, running human-led oral assessments at scale presents significant challenges:
  • Resource constraints: Scheduling, staffing, moderating, and documenting interviews for large cohorts can quickly become prohibitive.
  • Preparation and training: Students need guidance to build confidence and communication skills, while instructors require training to ensure consistent questioning and grading.
  • Equitable evaluation: Mitigating bias across different accents, neurodiverse profiles, and cultural backgrounds is critical but difficult to achieve consistently.
Ultimately, while written assessments are becoming less trustworthy, high-integrity oral alternatives remain too resource-intensive to easily embed into daily coursework and tailored learning scenarios.

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A unified platform to scale conversational learning

Audio-native AI agents offer a powerful solution. They can conduct dynamic, low-latency interviews on behalf of educators, scaling oral assessments effortlessly. But until now, deploying these agents required complex technical setups, compliance software, and significant costs. This is why we built Claire. Claire provides faculty with the exact tooling needed to seamlessly transition to oral and conversational assessments. Our platform empowers educators to easily build custom AI agents that act as conversational layers for new or existing coursework — all without requiring technical expertise or sacrificing human oversight. But integrating AI into the intimate student-educator relationship requires a thoughtful approach to software design. Technology should augment educator expertise, support existing workflows, and preserve established teaching practices. It must also provide auditable, traceable records to ensure compliance, fairness, and responsible AI use. Claire is the first end-to-end platform that combines all of this, and equips universities to run high-fidelity, scalable oral assessments that truly measure student understanding.

Getting started

A step-by-step guide to building your first agent and creating assessments.

Use AI responsibly

Learn how to use AI responsibly in assessment and feedback workflows.