CTRLpotato

By capturing questions through audio input, text, or screenshots, CTRLpotato analyzes the incoming question and delivers structured, comprehensive answers within seconds giving candidates a real-time support system during the high-pressure moments where performance matters most.

The platform is designed to function invisibly during interviews, operating without appearing in task managers, activity monitors, or screen share recordings.

The core technical architecture uses a context buffer that accumulates audio, screenshots, and text snippets throughout the interview session, processing all available context together when generating answers.

Rather than responding to questions in isolation, CTRLpotato considers the full conversation history and previously captured context to deliver answers that are coherent with the ongoing interview dialogue rather than disconnected responses to individual questions.

This contextual awareness produces more natural, interview-appropriate answers than simple single-question Q&A systems.

CTRLpotato provides access to multiple leading AI models, allowing users to select the best model for different question types.

Available models include Claude Opus and Claude Sonnet, GPT-5, Gemini Pro, DeepSeek, and GPT OSS 120b enabling candidates to choose based on the specific demands of each question, whether that requires deep reasoning for complex technical problems, creative thinking for behavioral questions, or speed for rapid-fire assessments.