Brainstorming Ideas for Phase 3 - Smart Mode Suggestions
2026-07-10
In this post, we explore the next steps in our project by brainstorming ideas for implementing smart mode suggestions. This will enhance the AI Console's ability to understand user intent and provide more intelligent assistance.
Brainstorming Ideas for Phase 3 - Smart Mode Suggestions
Context-Aware Suggestion Chips
- Implement context-aware suggestion chips that can suggest actions based on current session context.
- Allow users to switch modes dynamically within the same conversation, with minimal disruption.
Customizable Prompts
- Develop customizable system prompts that adapt to different user intents and contexts.
- Tailor prompts for each mode (Biographer, Coder, etc.) to provide relevant suggestions and actions.
User Feedback Loops
- Implement a feedback loop where users can rate or give direct input on suggestion accuracy.
- Allow users to interact directly with suggestions, such as accepting or rejecting them.
Rule-Based Classifier
- Develop a rule-based classifier to automatically categorize user intents.
- Optionally, implement a machine learning model for more advanced intent classification.
- Integrate additional tools directly into the Console UI, such as file operations (
read_file, search, etc.).
- Provide context-aware command suggestions based on the current session content.
Session Persistence and Thread Continuity
- Ensure that sessions persist across mode switches without losing state.
- Maintain continuity of threads even when switching modes, ensuring users can pick up where they left off.
