Adding Gemini 1.5 Flash 8B to Slack for Team Collaboration
Learn to integrate Gemini 1.5 Flash 8B with Slack via Flowhunt and build AI-powered Slackbots that automate tasks, answer queries, and enhance team productivity.

Getting Started with Slack Integration
Follow these steps to connect Flowhunt to Slack:
Access the Integrations Tab
Log in to your Flowhunt.io account and navigate to the Integrations section.
Select Slack
Choose Slack from the list of available integrations to begin setup.

Authorize Slack Access
You’ll be redirected to Slack’s login page. Enter your credentials and workspace URL (tip: locate your workspace URL in the top-left corner of your Slack app).

Grant Permissions
Approve the required permissions to enable Flowhunt to read messages, respond to queries, and interact with your Slack workspace.

Once your connection is established, you’re ready to create your first Slackbot flow.
How to Build a Slackbot Flow
Flowhunt’s no-code platform makes it easy to design a Slackbot:

Add the “Slack Message Received” Component
Configure this component to listen for incoming messages.
- Channel and Workspace Settings: Choose specific channels or monitor the entire workspace. Setting up a dedicated channel (e.g., #ai-assistant) is a good practice.
- Trigger Only on Mentions: Ensure the bot responds only when directly mentioned (e.g., @flowhunt) to keep interactions focused.

Add the AI Agent Component
This is the brain of your Slackbot, generating intelligent and context-aware responses.
- Persona: Define the bot’s personality (e.g., “A friendly and resourceful assistant”).
- Objective: Specify its purpose, such as “Provide accurate and helpful answers using available tools.”

Enhance the AI Agent with Tools
Expand the bot’s functionality by integrating additional tools:
- Google Search Tool: Conduct real-time searches to address queries.
- URL Retriever: Extract and summarize information from shared links or documents.
Flowhunt supports additional custom tools for specialized requirements.

Add the LLM Gemini Component
Integrate the Gemini 1.5 Flash 8B model for advanced language processing. With its superior precision and contextual understanding, this component ensures accurate and insightful responses to diverse queries.

Add the “Slack Send Message” Component
Configure this component to send the bot’s responses back into Slack. Match its settings with those of the “Slack Message Received” component to maintain a seamless interaction loop.

Save and Test Your Flow
- Save your configuration in Flowhunt.
- Open Slack and navigate to the designated channel.
- Test the bot by mentioning it (e.g., @flowhunt) and observing its responses.
Congratulations! Your Slackbot, powered by Gemini 1.5 Flash 8B, is now ready to assist your team.
Why Choose Flowhunt for Slackbots?
Flowhunt stands out as a powerful platform for creating and managing Slackbots:
- Customizable: Adapt the bot to meet your team’s unique needs, from answering FAQs to automating tasks.
- User-Friendly: Its intuitive drag-and-drop interface makes it accessible to all users, regardless of technical expertise.
- Scalable: Add new tools and features as your team’s requirements grow.
- Productivity Enhancer: Automate repetitive tasks, allowing your team to focus on higher-priority initiatives.
Frequently asked questions
- What is Gemini 1.5 Flash 8B for Slack?
Gemini 1.5 Flash 8B is an advanced AI language model integrated with Slack via Flowhunt, enabling teams to automate tasks, answer queries, and improve productivity with AI-powered Slackbots.
- How do I connect Flowhunt to Slack?
Log in to your Flowhunt.io account, navigate to the Integrations section, select Slack, authorize access, and grant the necessary permissions to connect Flowhunt to your Slack workspace.
- Can I customize my Slackbot’s behavior?
Yes, Flowhunt’s no-code platform lets you define your Slackbot’s personality, objectives, and tools, making it adaptable to your team’s unique needs.
- What tools can be added to the Slackbot?
You can add tools like Google Search for real-time answers and URL Retriever for extracting and summarizing information from shared links, as well as other custom tools supported by Flowhunt.
Arshia is an AI Workflow Engineer at FlowHunt. With a background in computer science and a passion for AI, she specializes in creating efficient workflows that integrate AI tools into everyday tasks, enhancing productivity and creativity.

Try Flowhunt for AI-Powered Slackbots
Start building custom Slackbots with Gemini 1.5 Flash 8B integration. Automate workflows, answer queries, and boost your team’s productivity.