Summary of Brand Pulse Project
Project Overview: Brand Pulse is an agentic AI system designed to automate the process of turning customer reviews and feedback into actionable business operations. The project leverages OpenClaw technology, integrating with real-world tools like Trello for task management and Streamlit for human-in-the-loop (HITL) decision-making.
Key Components:
- Customer Feedback Collection: The system starts by collecting customer reviews from various sources.
- AI Categorization: An AI component (
brand_pulse_categorizer) analyzes the feedback to identify actionable items categorized as either "Praise" or "Friction." - Human-in-the-Loop (HITL) Control: A Streamlit interface allows human operators to review and approve these categorizations before any action is taken.
- Action Execution:
- Approved Praise: Transforms into live marketing assets that can be embedded on external websites as iframes.
- Approved Friction: Dispatched into Trello boards as actionable tasks for the operations team.
Architecture and Implementation Details:
- State Management: The system uses a persistent
/datavolume to manage state across ephemeral containers, ensuring memory
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