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Description

Evalgent serves as a platform dedicated to the testing and evaluation of AI voice agents. The common reasons for failures in production are not due to inadequate technology but stem from the fact that demonstrations typically utilize pristine audio and compliant users, which is not reflective of actual user interactions. By identifying potential failures before they can impact production, Evalgent reduces the time needed for iterations and accelerates the path to revenue for voice agents. THE PROCESS 1. Define: establish authentic scenarios and criteria for success. 2. Run: execute tests that mimic realistic human behavior. 3. Measure: identify successful elements, failures, and operational boundaries. 4. Act: obtain clear, actionable insights for necessary adjustments or deployments. KEY FEATURES 1. Scenarios: create and define test cases based on agent directives. 2. Caller Profiles: emulate real user behaviors, including variations in accents, speech speed, and interruption styles. 3. Metrics: utilize custom LLM-related and telemetry scoring to evaluate every interaction. 4. Evaluations: conduct structured testing campaigns that yield pass/fail outcomes along with improvement suggestions. 5. Reviews: incorporate human oversight for corrections, complete with a comprehensive audit trail. This multifaceted approach ensures that voice agents are thoroughly vetted and ready for the complexities of real-world interactions.

Description

Unloop serves as a visual platform for mapping patterns and facilitating self-reflection, particularly aimed at individuals with ADHD and neurodivergent characteristics, enabling them to visualize, analyze, and experiment with their behavioral cycles in order to comprehend the triggers, thoughts, emotions, and actions that contribute to their feelings of being trapped, thereby allowing them to implement meaningful changes without relying on generic advice, therapy, or formal diagnoses. This platform features an engaging visual interface through which users can identify patterns, reveal recurring cycles, and create small-scale experiments designed to disrupt and transform their behaviors, all guided by prompts and insights rather than conventional tracking methods. It prioritizes personal exploration and clarity, allowing users to recognize overlooked details and to visually connect their behaviors and responses as they evolve over time; early feedback from users has noted significant progress in identifying hidden trends and obtaining valuable insights. By encouraging a hands-on approach to understanding one’s own behavioral intricacies, Unloop fosters a deeper connection between users and their personal growth journeys.