When to use Sandbox
Use this only when you need deeper experimentation than Dashboard or Workspace setup flows.
Use this advanced and optional area for deeper testing after your first workflows are running in Dashboard and Workspace.
Recommended for technical users, experiments, and custom scenarios.
Use this only when you need deeper experimentation than Dashboard or Workspace setup flows.
Choose the surface you want to explore. Dedicated tools let you pressure-test orchestration plans, trial CaiEngine experiments, and sketch continuous learning loops without leaving the sandbox.
Prototype Scenario Planner orchestration tests. Define the scenario, target outcomes, and guardrail signals to draft a ready-to-run test matrix. Use the quick-start examples below to rehearse triggering runs and capturing results.
python mock_workflow_ai_demo.py to see a zero-touch intake → routing → action loop.seed_queue to rehearse multiple actors and verify results via Data:Queue:<id>:Out:actor.python manual_workflow_ai_demo.py and watch how checkpoints write to the mock connector.Add your scenario and objectives to see a proposed matrix.
Test a prompt against one or more configured providers. Results will include the raw JSON payload so you can inspect response structure and plan integrations.
No experiment output yet. Run a scenario to see provider responses and routing details.
Track token consumption, review raw responses, and preview SVG artifacts via inline canvas renderers after each experiment.
Run an experiment to visualize provider responses.
Design a learning sprint for the Learning Lab pipeline. Capture focus areas, the skills you want to reinforce, and the datasets available for practice to receive a structured plan.
Tip: mix qualitative transcripts with scored evaluation runs for balanced feedback.Outline the focus area, skills, and datasets to build a plan.
Generate deterministic embeddings and compare how closely different texts align before wiring them into production workflows.
Tip: use ⌘↵ (or Ctrl+Enter) to run the comparison quickly.No embedding comparison yet. Provide a reference and at least one comparison, then run similarity.
Deterministic vectors mirror the WorkflowAI embedding pipeline so you can explore thresholds safely inside the sandbox.
Stitch together multi-step CaiEngine routines with a collaborative canvas. Drag nodes from the palette, configure prompts and routing heuristics, then export JSON definitions ready for WorkflowAI and provider execution.
Export the JSON payload to hydrate WorkflowAIRunner or CaiEngine API endpoints.
{
"name": "Untitled workflow",
"nodes": []
}
Composer ready for your first node.