Getting Started with Mutiny in Your AI Assistant

Once you've connected Mutiny to Claude or connected Mutiny to ChatGPT, you can start creating and managing customer-facing assets right away. Here are some common workflows.

Browse What's Available

Start by exploring your workspace.

• "Show me my Mutiny assets"

• "What templates are available?"

• "Show me what's in my content library"

If you usually start from a blueprint in the Mutiny app, use a template here instead. Blueprints aren't yet accessible in the MCP. Templates are created in the Mutiny app and then discoverable from conversation.

Create a Customer-Facing Asset

Create any type of asset, the more context you provide, the more personalized the result.

• "Create a proposal for Acme Corp using the pricing proposal template"

• "Build a 1:1 landing page for Stripe — they're a fintech company focused on payment infrastructure"

• "Create a case study about how we helped Snowflake increase pipeline by 40%"

• "Make a meeting recap for my call with the Databricks team"

Use Your Own Research and Data

The most powerful workflow: combine research already in your conversation with Mutiny's asset creation.

1. "Tell me about Acme Corp. What do they do, who are their competitors?"

2. "Now create a landing page for Acme Corp using that research, with the 1:1 ABM template"

3. "Update the headline to focus on their cloud migration initiative"

4. "Publish the Acme Corp landing page"

Manage Your Content Library

• "Upload this logo to my library: https://example.com/acme-logo.png"

• "Tag my Snowflake case study with 'data-cloud' and 'enterprise'"

• "Show me all library items tagged 'competitor'"

Publish and Share

• "Publish my Acme Corp proposal"

• "What's the URL for my published Stripe landing page?"

Tips

• Be specific — include the account name, asset type, and personalization details

• Combine with research — the more context in your conversation, the better the output

• Iterate — refine content after initial creation with follow-up messages

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