AI Sandbox
AI Integration and Evaluation Laboratory
Controlled AI experimentation workspace for prompts, structured outputs, APIs, and evaluation.
Experiment with AI-assisted application behavior in a controlled environment separate from core Sandbox functionality. The implementation is planned.
AI Sandbox
Experiment with AI-assisted application behavior in a controlled environment separate from core Sandbox functionality. The implementation is planned.Purpose & Learning Objectives
Why this project exists and what the implementation should teach.Purpose
Experiment with AI-assisted application behavior in a controlled environment separate from core Sandbox functionality.
Learning Objectives
- Test prompt structures against repeatable tasks.
- Compare free-form and structured outputs.
- Store test cases and evaluation notes.
- Practice API request/response handling.
- Separate model behavior from deterministic application logic.
- Avoid making the main Developer Sandbox dependent on experimental AI features.
Technology Plan
Current, planned, legacy, or candidate technologies for this project.Implementation Scope
Planned behaviors, architecture decisions, and evidence this project should produce.- Prompt variants.
- Expected output shape.
- Observed failures.
- Evaluation notes.
- JSON schemas.
- Validation.
- Retry/error handling.
- Consistency.
- Accuracy.
- Latency.
- Failure modes.
- No required dependency for public browsing.
- Local experiments can evolve independently.
Project Notes
Implementation context, boundaries, and later expansion.V1 Boundary
True AI behavior was deliberately deferred from the original Developer Sandbox V1.
Decision Pending
Provider and SDK remain undecided; choose them based on the experiment rather than branding.