Acedly AI

Acedly runs as a desktop overlay on top of Zoom, Google Meet, Microsoft Teams, Webex, and Amazon Chime. When an interviewer speaks, Acedly transcribes the question, checks it against your uploaded resume and the role context you’ve configured, and displays a suggested answer or framework on a private layer of your screen — not shared, not visible to anyone else on the call. The vendor states median latency from spoken question to displayed answer is under 200 milliseconds. The workflow covers three stages: live interview assistance, automatic post-interview debrief, and targeted practice based on the gaps the debrief identifies.

The differentiating feature is the private overlay architecture — the response appears only on your local screen, with no screen-share footprint. This is the design choice that separates it from tools that require a browser tab or a secondary device. The mock interview module pairs with this: you choose a lifelike AI avatar persona, set company, role, and difficulty level, and run a real-time video session. The AI asks adaptive follow-up questions based on what you actually say, not a static script, and delivers a scored report covering communication, answer structure, and technical depth at session end.

The tool fits candidates running an active job search who want live coverage across multiple interview rounds and languages — the docs describe 30+ spoken languages at consistent accuracy, with specific callouts for Mandarin, Japanese, Korean, Spanish, and Portuguese. It fits less well for teams or hiring managers: the entire product is designed around the candidate perspective, and there is no API, no self-hosted option, and no integrations outside the supported video platforms. The meeting assistant features — transcription, translation, automatic summaries, file-grounded Q&A — extend the surface area, but they are additive to the core interview use case rather than a standalone meeting intelligence product.