The following steps are required to implement privacy-secure AI message replies with Pond:
- Local environment preparation: Complete Pond installation via Homebrew (requires arm64 Mac) to ensure data stays on the device.
- AI configuration settings: Generate a unique APP_ID and ACCESS_TOKEN within the Pond app for local authentication
- Protocol Docking Debugging: Developers refer to the docs.trypond.ai documentation to configure the MCP protocol, using stdio or HTTP transport
- Reply Style Customization: Pre-defined tone templates such as "business formal" or "relaxed and friendly" in the setup
- Draft generation validation: Select the message and click the Generate button to check if the AI generates a compliant reply based on the local context
Note: Business Edition users can further train customized response models and need to book a configuration service through cal.com.
This answer comes from the articlePond: macOS tool for efficiently managing WhatsApp messages with AI-generated repliesThe
May not be reproduced without permission:AI productivity tools " Key Steps to Achieving AI Safety-Assisted Response
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