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The Wood Wide console is the web UI for the same workflow as the API — upload a dataset, train a model, run inference. Use it to explore data, manage API keys, and configure platform settings without writing code.

Open console

Sign in and start from your workspace.

API keys

Create keys for the API, SDK, CLI, and agent tools.

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When to use the console

Use the console when you want a UI for setup and exploration — uploading files, inspecting datasets, training a first model, or credentialing a warehouse connection. For production integrations, automation, or custom backends, use the API quickstart, Python SDK, or CLI instead. You can mix both: explore in the console, then call the same datasets and models from code.

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Common tasks

1

Create an API key

Open Settings → API keys and create a key. Use it for HTTP requests, the Python SDK, CLI, MCP, and SKILL.md. See the API quickstart for header and env var setup.
2

Upload a dataset

Upload CSV or Parquet from the console, or import from a warehouse or bucket via Connections.
3

Train and infer

Train a model on the dataset, then run inference from the console. The same dataset and model IDs work in API, SDK, and CLI calls.
  • Connections — import from BigQuery, Snowflake, S3, and other sources
  • API quickstart — same workflow with curl, JavaScript, or Python
  • CLI — script datasets, training, and inference with wwai