Connect and Configure Product Catalog for AI Agent
Product catalogs enable your AI agent to recommend and sell products in a relevant, context-aware way during conversations. By connecting a product catalog, your agent can match user questions to suitable products from your database, provide detailed descriptions, and share direct purchase links.
💡 Note: Flametree uses Baserow — an online, no-code database platform — to store and manage your product catalogs. You manage products via the Baserow web interface, and your AI agent automatically retrieves the latest information.
Prerequisites
- A registered Flametree account.
- At least one AI agent created in Flametree.
- (Optional) A Baserow account registered with the same email address used for Flametree.
Setup
Step 1. Create a product catalog in Flametree
- Go to AI agents > Products.
- Click Create product catalog +.
- Enter a name for your product catalog.
- Once created, the new catalog and its URL will appear on the screen.
Step 2. Open the catalog in Baserow
- Select the catalog URL.
- Log in to Baserow or sign up for a new account.
⚠️ Important: You must use the same email address for Baserow that you use for Flametree. If the emails do not match, you will not be able to access the workspace.
Step 3. Accept the workspace invitation
To access the database, you must accept the invitation to the workspace.
- From the Baserow main page: Select Accept on the workspace invitation.
- From your email: Open the invitation email from
noreply@enfint.aiand select the provided link.
After accepting, your workspace will display the ProductCatalogs database and your new catalog.
If you don't receive an invitation
- Select the Resend invitation button on the Product Catalogs screen in Flametree.
- Check your email inbox and spam folder.
- Log out of Baserow and log back in to refresh the invitation list.
Step 4. Add products to your catalog
- Open your product catalog in Baserow.
- Review the example product in the first row.
- Add up to 20 products to the catalog by filling in the required fields:
| Field | Description |
|---|---|
| Name | Product name displayed to users. |
| Brief Description | Short 2–3 sentence summary. This helps the AI agent quickly identify the most relevant product. |
| Description | Detailed description including what is included, the target audience, the problem it solves, how it works, key benefits, and specifications. |
| Category | Product category (for example: Manual, Webinar, Course). |
| Price | Price or pricing model (for example: $29 one-time, Basic – $10, Advanced – $20). You can also explain complex pricing in the Description field. |
| Link | URL where the product can be purchased or viewed. |
| Active | Determines if the product is visible to users. |
Step 5. Link the catalog to your AI agent
- In Flametree, go to the Agent page.
- Select your agent.
- Go to General > Product catalog.
- Select your newly created product catalog.
💡 Note: An agent can be connected to only one product catalog at a time.
- Select Save.
Your AI agent can now recommend and sell products from your catalog directly in conversations. You can also provide specific selling instructions in the Task field on the Agent page.
If Agent doesn't show products
Verify that you have selected the correct catalog in General > Product catalog and saved your changes.
Example entry
The following table illustrates a correctly formatted product entry in Baserow:
| Field | Value |
|---|---|
| Name | Productivity Masterclass |
| Brief Description | A 2-hour live webinar to boost your daily productivity. |
| Description | This live webinar covers proven productivity techniques, tools, and mental frameworks to help professionals achieve more in less time. Suitable for freelancers, managers, and entrepreneurs. |
| Category | Webinar |
| Price | $29 one-time |
| Link | https://example.com/productivity |
| Active | False |
Best practices
- Keep product names short and descriptive.
- Ensure the Brief Description is clear and benefit-focused to improve AI matching.
- Update pricing and descriptions regularly to maintain accuracy.
- Group similar products into categories to improve AI recommendations.