I answered everything they asked, including failure handling for server and model outages.
Start by clarifying requirements and scope, then walk through the high-level architecture covering frontend, backend, and API integration. Focus on how parameter controls and preset configurations are designed, and discuss trade-offs like state management, performance, and user experience.
Pro tip: Emphasize the importance of a responsive and intuitive UI for parameter controls, and discuss how presets can be stored and shared to enhance collaboration. Also, mention the need for real-time feedback and error handling when interacting with the API.
Ask questions to understand the expected features, user base, and constraints. Define what the Playground should support, such as model selection, parameter tuning, and preset management.
Outline the frontend (React/Next.js), backend (API gateway, services), and how they interact. Discuss the role of the OpenAI API and any additional backend services for presets and user data.
Detail the UI components for parameters like temperature, max tokens, and top-p. Discuss state management, validation, and how changes trigger API calls with debouncing or explicit submission.
Explain how presets are created, saved, and loaded. Cover storage options (localStorage, backend database), sharing mechanisms, and how presets integrate with the parameter controls.
Discuss trade-offs such as client-side vs server-side state, caching strategies, and performance optimizations for a smooth user experience. Mention error handling and rate limiting.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.