How to use AI humanizer tool?

The application of AI humanizer tool is mainly reflected in enhancing the realism and personification of the tools, thereby enhancing the user experience. ‌
Specific methods to enhance the humanization of AI tools
In terms of form: it creates a sense of realism, conforms to real natural behavior, creates a strong sense of immersion for users, and improves user efficiency. Specific measures include:
User Profile: During the preparation phase, the system will prompt the user to enter practice mode and simulate the behavior of a salesperson using CRM to understand the background of a customer before contacting them. By displaying company name, customer profile pictures, account status, gender, recruitment targets, and other information, users can perceive that this is a realistic practice mode.
Dialogue process: During the practice phase, users can choose between practice or exam modes. In practice mode, users can complete conversations with AI customers by entering voice commands, simulating the real sales communication process.
In terms of soul, it enhances anthropomorphism, conforms to real communication language, makes users feel like they are communicating with real people, and creates product affinity. Specific measures include:
Natural Language Processing: AI tools need to have natural language processing capabilities that can understand and respond to users' language, making conversations smoother and more natural.
Emotional Interaction: Through emotion recognition and response technology, AI tools can exhibit appropriate emotional responses in conversations, enhancing the user's interactive experience.
Actual cases and application scenarios
Taking sales training as an example, with the intervention of AI tools, a complete training experience loop can be formed. The specific steps include:
Preparation stage: The system prompts the user to enter practice mode, simulating the preparation work of sales before contacting customers.
Accompanying stage: Users can choose between practice or exam modes and complete conversations with AI clients through voice input.
Feedback stage: The system provides detailed feedback to help users improve their sales skills.