Intent Parsing and Routing
Understanding User Intent
Every intelligent system needs to recognize what the user is trying to do. Intent parsing is the process of analyzing input—whether text or voice—to clearly identify the user’s goal. NeuroCP turns natural language into structured intents, so agents can understand the task and respond with the right action.
How Intent Parsing Works
User input is often messy or ambiguous. NeuroCP uses advanced natural language processing to break it down into clear components:
Action
What the user wants to do
Check > Schedule > Buy
Object
The target of the action
Portfolio > Meeting > Asset
Parameters
Extra details or conditions
Date > Amount > Frequency
The system then creates a clear, standardized intent from these parts.
Routing: Directing Intent to the Right Destination
Once an intent is defined, NeuroCP’s routing engine determines which agent or service is best suited to handle it. This process is adaptive and intelligent, supporting:
Multiple specialized agents across domains like finance, energy, or productivity
Personalization based on user settings, permissions, or roles
Fallback handling—like asking follow-up questions or escalating to human support if the intent isn’t clear
Intent Parsing & Routing Flow
User Input → Intent Parsing → Structured Intent → Routing → Agent or Service → Response
Key Benefits
Accuracy: Interprets complex or nuanced requests correctly
Adaptability: Applies across different domains and scenarios
Scalability: Handles many agents and services without confusion
Smooth UX: Delivers fast, relevant responses by matching the right agent to the job
Example Use Case
User says: “Show me my energy usage last month.”
The intent engine identifies the action as show, the subject as energy usage, and the time filter as last month.
The router directs this to the Energy Tracking Agent, which specializes in these queries.
The agent gathers the relevant context and generates a personalized summary.
The user receives a clear, tailored report on their energy consumption for that timeframe.
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