π 2025-04-14 β Session: Conceptualized AI Prompt Building Block Marketplace
π 08:00β08:35
π·οΈ Labels: AI, Prompt Engineering, Ux Design, Modular Design, Interoperability
π Project: Dev
β Priority: MEDIUM
Session Goal
The session aimed to explore innovative ideas and frameworks for enhancing AI user experience through modular and shareable components in prompt design.
Key Activities
- Discussed the concept of a marketplace for JSON-based personas, intents, and templates to improve AI UX.
- Outlined a crash course on modular prompt flow design using YAML and Python.
- Explored the future of AI workflows focusing on composable tools and UX principles.
- Discussed alignment with prompt data models for enhanced interoperability.
- Reflected on Reactβs application in prompt orchestration and its parallels to AI workflows.
- Explored the development of composable prompt orchestration systems and new programming primitives.
Achievements
- Conceptualized a marketplace model for prompt building blocks.
- Created a comprehensive guide outline for modular prompt flow design.
- Identified key UX principles for next-gen AI interaction.
- Recognized the importance of aligning with established prompt data models.
- Gained insights into Reactβs component-based architecture for AI workflows.
Pending Tasks
- Further research on potential interfaces for AI interaction.
- Develop detailed course content for modular prompt flow design.