AI Interview Guides
Answer-first guides for AI interview platforms, assistants, voice interviews, APIs, open source, self-hosting, screening, research, and vendor comparison.
A concise answer-first guide to AI interview platforms, how they work, what they automate, and when teams use them.
Learn what an AI interview assistant does, how it differs from an AI interviewer, and where it fits in a modern hiring workflow.
An answer-first buying guide for choosing AI interview software based on interview mode, scale, transparency, integrations, and review quality.
What an AI voice interview platform is, when to use voice instead of chat, and how Aural handles speech-based interviews.
What open-source AI interview software means, when to choose it, and how Aural can be used as a transparent self-hostable platform.
A practical guide to self-hosting an AI interview platform, including when it makes sense and what infrastructure teams should plan for.
Use the Aural API to create interviews, add questions, publish links, manage candidates, and retrieve interview results programmatically.
How product and research teams can use AI interviews for customer discovery, feedback collection, and qualitative insight synthesis.
How AI interviews help recruiting teams screen large candidate pools consistently while preserving structured evidence for human review.
What AI interview anti-cheating means, what signals Aural can monitor, and how teams should use integrity logs fairly.
A practical comparison framework for teams evaluating Aural, HireVue, Spark Hire, and other interview platforms.