Ask Fern Slack app
The Ask Fern Slack app allows customers to ask questions about your products directly in Slack channels and receive AI-generated answers from your documentation database.
Fern stores all questions and answers from Slack interactions for analytics purposes.
Setup
Install the Ask Fern app in your workspace and add the bot to customer channels.
To install Ask Fern in your organization’s Slack workspace, you must be a Slack admin.
Get your unique install link
Use the API explorer to get a unique Slack installation link for your organization. Provide:
- Your Fern token
- Your domain without protocol or path (e.g.,
website.com
, nothttps://website.com/docs
)
You can alternatively use this cURL request:
Follow the URL returned in the install_url
response field.
Configuration
Customize the bot’s behavior to match your workflow needs.
Bot settings per channel
Use the /fern
slash command in any channel to adjust the settings:

Customize the bot name
You can rename the bot to match your brand (example: “YourCompanyName Support”):
- In Slack, go to Apps in the sidebar and click Ask Fern
- Click the About tab, then Configuration
- Scroll to Bot User section and click Edit
- Enter your preferred bot name and save changes

Now customers will see @YourCompanyName Support was added to the channel
instead of the default @Ask Fern
name.
Collaborative FAQ generation
You can improve the Slack bot’s knowledge base by teaching it from real customer interactions. When the bot provides answers in Slack, you can refine those responses and save them for future reference.
How it works:
- A user asks a question - The bot responds in the channel
- Review the response - If the answer needs improvement, reply in the thread to the bot’s message
- Provide corrections - Add missing context, correct inaccuracies, or clarify the response
- Request indexing - Ask the bot to index the improved response (e.g., “Index this response” or “Please save this”)
- Iterate if needed - The bot will generate an improved answer. Continue refining until you’re satisfied
- Confirm indexing - When the response looks good, tell the bot to save it. The bot will confirm the Q&A pair has been indexed
Once indexed, Ask Fern will use this curated question-answer pair to inform future responses to similar questions, giving more accurate answers over time.
Indexing conversation example
User – @PlantSupport what’s the best way to care for succulents indoors?
Plant Support bot – Succulents need bright, indirect light and should be watered every 2-3 weeks. Make sure the soil dries out completely between waterings.
Support Lead – @PlantSupport This is good but you should mention drainage holes and the risk of root rot. Also, watering frequency depends on the season - less in winter. Let’s index this thread.
Plant Support bot: I’d be happy to help you index this thread! Let me work with you to create a clear Q&A pair for your knowledge base. Based on the conversation, the main question is about caring for indoor succulents. Let me draft an improved Q&A pair:
Question: “What’s the best way to care for succulents indoors?”
Ideal Response:
Succulents thrive indoors with the following care:*
- Light: Provide bright, indirect sunlight (6+ hours daily near a south or east-facing window)
- Watering: Water thoroughly every 2-3 weeks during spring and summer, reducing to once a month in winter. Always wait until the soil is completely dry between waterings
- Drainage: Use pots with drainage holes and well-draining soil (cactus/succulent mix) to prevent root rot
- Warning: Overwatering is the most common cause of succulent death. Root rot develops quickly in waterlogged soil
Does this capture the question and response accurately? Would you like me to adjust anything before saving it to your knowledge base?
Support Lead: @PlantSupport Perfect! Please save this.
Plant Support bot – Successfully indexed! This Q&A pair has been added to your knowledge base and will be used to inform future responses about indoor succulent care.
Architecture
When a user asks Ask Fern a question in Slack, a webhook triggers Fern’s servers to search your documentation database and retrieve relevant context. Using that context, Ask Fern generates a response.