Rejekt.ai is a practical example of a real-time audio agent designed for decision support. It sits in the copilot layer of the agent stack, specifically focusing on low-latency audio-to-text processing and context-aware generation. The system functions as a specialized listening agent that must perform intent recognition on incoming audio streams to distinguish between interviewer questions and conversational filler.
For the broader AI agent ecosystem, Rejekt.ai demonstrates how agents can be deployed as invisible overlays to augment human performance in high-pressure social environments. It utilizes the 'human-in-the-loop' pattern, where the agent provides structured suggestions but the human remains the primary actor. Its presence in the directory highlights the growing trend of verticalized agents that focus on specific, high-value communication tasks.
Job interviews are fundamentally a performance. Candidates often know the material but fail under the psychological pressure of a live conversation or a complex technical prompt. Rejekt.ai is an interview coaching platform that attempts to solve this through real-time AI assistance. Based in Dallas, the company is currently in an active beta period, offering a suite of tools designed to move candidates from passive preparation to live performance support.
The core of the product is the Live Helper. Unlike traditional interview prep platforms that focus on post-session feedback, the Live Helper is active during the actual interview. It uses the system's audio or microphone to listen to the interviewer’s questions. Once it detects a question, it uses large language models to generate context-aware talking points, specifically pushing the candidate to use frameworks like the STAR method (Situation, Task, Action, Result). The tool operates through a browser-based popup that is invisible to the interviewer, allowing the candidate to maintain eye contact while glancing at structured prompts.
Beyond simple text generation, the platform tracks the acoustics and delivery of the candidate's speech. The interface displays live metrics for clarity, confidence, and pacing. If a candidate begins to ramble or speaks too quickly, the visual cues on the overlay provide immediate feedback for correction. This real-time analysis is paired with a dashboard that aggregates historical performance. Candidates receive a readiness score out of ten, allowing them to track improvement across multiple practice or real sessions.
Rejekt.ai also segments its coaching into specific categories: behavioral, technical coding, and case studies. For coding interviews, the tool focuses on helping candidates articulate their logic while solving problems, a common failure point for engineers who struggle to think out loud. The technical prep adapts to the specific company and role, drawing on a library of common interview patterns from firms like Google, Amazon, and Stripe.
The platform operates on a freemium model. The Free plan offers five interviews and a limited daily window for the Live Helper. Paid tiers, priced at $20 and $50 per month, increase the number of interviews and the volume of AI credits available for real-time assistance. These credits represent the underlying compute costs required for low-latency audio processing and text generation.
By focusing on the 'game day' experience rather than just the practice sessions, Rejekt.ai occupies a more aggressive niche than legacy interview platforms. While mock interview sites like Interviewing.io rely on human peers or static recordings, Rejekt.ai relies on the immediacy of the AI overlay. This approach addresses the specific problem of 'freezing' or rambling in real-time, though it inevitably moves the interview process into a new era where the distinction between a candidate's innate ability and their AI-augmented performance becomes increasingly blurred.
An invisible real-time AI interview copilot that detects questions and surfaces talking points.
Rejekt.ai is hiring.