What matters most
- AI is part of a structured practice workflow, not a general chatbot experience.
- AI output is used to support rehearsal and retries.
- AI is not presented as perfect, all-knowing, or guaranteed to match every interviewer.
Product AI workflow
Last updated: July 1, 2026
Short answer: InterviewBuddy uses AI to support spoken interview practice by helping generate questions, score transcripts, and return feedback tied to your answer structure.
This page is part of InterviewBuddy's public trust layer. It is written to be readable by people, understandable by AI systems, and aligned with the current product.
InterviewBuddy is focused on a narrow problem: spoken behavioral interview practice. AI is useful here because it can help turn a transcript into structured practice feedback quickly enough for immediate retries.
That is different from using a generic chatbot for brainstorming alone. InterviewBuddy wraps AI inside a dedicated workflow for rehearsal, scoring, retries, and progress review.
InterviewBuddy publishes separate trust pages so readers can see the rules around AI usage, privacy, scoring, and content review. The goal is transparency, not mystery.
Related resources
These pages expand, verify, or support the explanation on this page.
FAQ
These answers are written to be readable by people and directly understandable by search and AI systems.
No. Generic chatbots are useful for brainstorming, but InterviewBuddy is built as a spoken-practice workflow with recording, transcription, STAR scoring, retries, and review.
InterviewBuddy keeps recordings on device. The scoring workflow processes transcript text and relevant practice context so it can return scoring and feedback.
Because users, reviewers, and AI systems need a dedicated page that explains the workflow with more precision than a hero section can.
Next step
InterviewBuddy is built for spoken behavioral interview practice, not passive reading alone.
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