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FluidGrids Overview

FluidGrids is the visual workflow automation platform on Burdenoff Workspaces.

It lets you build, run, and monitor sophisticated automation pipelines through an intuitive visual builder or via API. Whether you are orchestrating data flows, integrating systems, or building AI-powered automations, FluidGrids provides the tools to design, deploy, and scale your workflows.

What FluidGrids Does

FluidGrids organizes automation around a small set of well-defined concepts:

  • Workflows — visual pipelines composed of nodes that process data and trigger actions
  • Nodes — reusable building blocks for integrations, transformations, AI operations, and control flow
  • Templates — pre-built workflow patterns you can customize and reuse
  • Runs — executions of a workflow with full traceability, logs, and retry capabilities
  • Credentials — securely stored authentication tokens and keys for external services

Core Concepts

Workflows

A workflow is a directed graph of nodes connected by edges. Workflows can be triggered manually or via API, by webhooks, on schedules, or from chat. Each workflow supports versioning, so you can publish immutable releases while continuing to iterate in draft mode.

Nodes

Nodes are the building blocks of workflows. FluidGrids ships 51 nodes — 21 built in and 30 installable from the store — covering:

  • Control Flow — conditions, switches, loops, merge strategies, subworkflows, error handling (built in)
  • Transformations — mapping, filtering, sorting, dedupe, aggregation, validation, custom code (built in)
  • Utility — HTTP requests, logging, waits (built in)
  • Integrations — SaaS APIs across CRM, finance, support, email, Google Workspace, and data (store)
  • AI — LLM calls, AI agents, structured output parsing, and PDF extraction (store)

See Understanding Nodes for the full catalog.

You can also build custom nodes as self-contained microservices and deploy them to your workspace.

Templates

Templates are pre-built workflows for common use cases. They accelerate development by providing proven patterns for order-to-cash, data sync, ETL pipelines, approval flows, and more.

Runs

A run is a single execution of a workflow. Runs capture:

  • Input data and context
  • Execution trace for every node
  • Output data at each step
  • Logs and error details
  • Duration and resource usage

Runs can be paused, resumed, cancelled, and retried.

Credentials

Credentials securely store authentication material for external services. Supported types include API keys, OAuth tokens, database connection strings, and custom secrets. All credentials are encrypted at rest and scoped to a workspace.

Choosing an Endpoint

The CLI and SDKs default to the production gateway at https://graphqlworkspaces.burdenoff.com/workspaces/graphql. To target a different deployment, point the tool at the corresponding endpoint:

  • CLI — set FLUIDGRIDS_API_URL, pass -u/--url, or run fluidgrids config set url <endpoint>.
  • SDKs — pass the endpoint to the client (endpoint= in Python, baseUrl in Node), or set FLUIDGRIDS_ENDPOINT.

All examples below assume the production default. The BURDENOFF_ENV switch is used only by the browser and VS Code extensions, not by the CLI or SDKs.

Who FluidGrids Is For

  • Business analysts and ops teams who want to automate processes without writing code
  • Developers who need to integrate systems and build custom automation logic
  • Data engineers who want visual ETL and data pipeline orchestration
  • AI/ML practitioners who want to embed LLMs and AI agents into production workflows
  • Customers of Burdenoff Workspaces who want their automations to plug into the same identity, billing, RBAC, and audit fabric as the rest of their stack

What's Next

  • Quick Start — build and run your first workflow in minutes
  • Core Concepts — deep dives into nodes, workflows, and templates
  • For Developers — SDKs, CLI, API reference, and custom node development