Administration
Enabling Fusion AI for a tenant, the settings and policies that control it, using the Fusion chat in your own extensions, and publishing library playbooks
Enabling Fusion AI for a tenant, the settings and policies that control it, using the Fusion chat in your own extensions, and publishing library playbooks
Fusion AI agents replay a set of questions on demand, on a schedule or when an automation fires
The built-in Fusion AI assistants, and creating custom assistants with your own prompt, model and effort level
Full reference of the tools exposed by the Fusion AI MCP server
How Fusion AI tokens are billed, the Fusion AI Billing insight, and setting a monthly budget, limit and notifications
Use the Build an extension playbook to plan, write and save a complete extension from a description of its tabs, with an approval before anything is saved
Verifying each step with checks, approvals with gates, and choosing the next step with transitions and conditions
Add the Fusion AI MCP server to ChatGPT as a custom connector
Add the Fusion AI MCP server to Claude Desktop or Claude.ai
How to create a Fusion AI playbook, from a description, from the library, from an example or by hand
Fusion AI can create Smart Curves directly on the platform on your behalf — no ODSL scripting required. You describe the curve you need in plain language, Fusion AI confirms the details, and then creates it for you using its built-in Smart Curve tool.
Connect Fusion AI to your own systems, databases and APIs with custom tools written as ODSL or JavaScript functions
Describe a composition in your own words and let Fusion AI find the data and design it, or ask it to change one
A complete annotated playbook, and the flow of each playbook in the OpenDataDSL library
The Fusion AI insights for agent logs, feedback, playbook runs and token usage
What the Fusion AI MCP server is, what it lets you do, and how it's secured
The Fusion AI playbook format in detail, covering front matter, prose, inputs, steps, outputs and references
A one-page summary of the playbook format, and what the editor's error and warning messages mean
Filling in and running playbook tasks, background runs, schedules, approvals, resuming runs and monitoring
Example prompts to try with the Fusion AI MCP server
How the device sign-in flow works for the Fusion AI MCP server
Chat with Fusion AI in the Studio: conversations, choosing an assistant, tool activity, feedback, and saving a conversation as an agent
The OpenDataDSL playbook library, copying and customising playbooks, sharing playbooks in extensions, and running playbooks from a Fusion chat
An introduction to Fusion AI Playbooks, repeatable AI workflows that run the same way every time
An introduction to Fusion AI, the OpenDataDSL AI assistant, and the Fusion AI extension in the portal