Robot Rejection for Web

Brief summary of the project

Robot Rejection is a tongue-in-cheek job-search simulator that combines an advanced language model with a playful approach to recruitment scenarios. Users can submit resumes and define the kinds of roles or interview settings they want to test. The system returns responses that range from genuinely useful critique to deliberately humorous rejections, offering a different lens on today’s hiring landscape.

How it functions

• Participants upload their CVs and set up the position or scenario they want to explore.
• The application uses a powerful conversational model to generate tailored replies that mimic recruiter feedback, interview outcomes, or rejection notes.
• Responses are delivered with a satirical flavor while still aiming to highlight actionable takeaways about resumes and interview performance.

Data practices and privacy

• The platform keeps a minimal set of records — for example, anonymized job postings and the AI-generated responses — for purposes of research and improving the experience.
• Personal identifiers are not stored; the system is designed so users’ private details are not retained after the interaction.

What users can expect

• Interactions can swing from genuinely insightful to deliberately comedic; this variability is part of the service’s design.
• The tool encourages users to experiment with different job types and resume versions to see how small changes affect the AI’s output.
• User feedback is actively solicited to refine accuracy, tone, and usefulness over time.

Alternatives and recommendations

• Scrip AI — a paid option for users looking for a more polished, professional-focused evaluation.
• HireMock — a freemium service that offers mock interviews and structured feedback for a variety of roles.
• ResumePlay — a platform with a trial period that emphasizes resume formatting and ATS compatibility.