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Build an AI Slack Bot with Google Gemini

Build an AI Slack Bot with Google Gemini

From IT support to onboarding, these routine interactions drain time and attention. Enter the AI Slack Bot Google Gemini—a smart AI assistant for Slack without any coding. 

By connecting n8n with Google Gemini, you can create a tool that isn’t just a simple bot. It remembers past conversations, handles detailed questions, and gives personalized answers, all to help you work more efficiently.

What Is an AI Slack Bot Google Gemini?

At its core, this workflow automates Slack conversations using AI workflow automation. It combines:

  • A Slack webhook to receive messages
  • AI agents powered by Google Gemini
  • A memory buffer to retain conversation context
  • Seamless Slack integration for responses

How This AI-Powered Slack Bot Workflow Works

This automation is powered by n8n and showcases a real-world AI agentic workflow.

Step 1: Trigger – Receive Slack Messages via Webhook

The AI Slack Bot Google Gemini automation begins when a Slack message is sent to a POST webhook. This includes:

  • User name
  • Message content
  • Channel ID

Make sure the webhook is HTTPS enabled. Avoid http://localhost:5678—Slack won’t recognize it.

Step 2: Store Conversation History (Memory Buffer)

Using the token from the Slack message, the system stores the conversation context in a memory buffer. This enables the AI to reference previous chats and respond accordingly.

  • Memory is tied to the Slack session token
  • Uses Window Buffer Memory with a context window of 10

This is key for maintaining continuity in multi-turn conversations.

Step 3: Process Message with Google Gemini AI Agent

The message content is passed to an AI agent powered by the Google Gemini Chat Model.

  • Model used: models/gemini-1.5-flash-latest
  • The agent acts as “Effibotics AI Personal Assistant”
  • Responds with helpful advice on automation and related queries

This step showcases contextual understanding and decision-making, core traits of AI workflow agents.

Step 4: Generate AI-Powered Reply

The assistant handles:

  • Message intent
  • Tone and greeting
  • Relevance to past conversations (if any)

It behaves more like a human coworker than a rigid bot.

Step 5: Send Message Back to Slack Channel

Finally, the response is pushed back to the same Slack channel the message came from.

  • Output format includes user reference and AI response
  • Uses markdown (mrkdwn) for rich formatting
  • Sends as a new message (Slack doesn’t allow replies after 3000 ms)

Tip: This message is sent via the Send response back to Slack channel node in n8n, which includes logic to preserve the sender and channel context.

*Note: For the JSON template, please contact us and provide the blog URL.

Why This AI Slack Bot Workflow Works So Well

This AI Slack bot setup leverages the core advantages of AI-powered workflow automation:

Real-Time Conversation Handling

Instead of waiting on a human, team members get instant, relevant replies from the bot.

Persistent Contextual Memory

Thanks to the memory buffer, the bot “remembers” previous conversations and doesn’t respond blindly.

Use of Agentic Workflows

This is a classic single-agent workflow, where one powerful AI Slack Bot Google Gemini agent takes care of the whole task from start to finish.

Technical Architecture of the Slack Bot Workflow

Here’s a simplified breakdown of how the pieces connect in n8n:

  1. Webhook (Trigger)
    Receives Slack message via POST endpoint.
  2. Memory Node
    Stores Slack token as a session ID for context.
  3. AI Agent Node (Google Gemini)
    Processes the message and generates a reply.
  4. Slack Response Node
    Sends the message back to Slack with appropriate formatting.

Sample Slack Message Flow

User: “How do I automate onboarding?”

Bot: Hi there! Automating your onboarding process is easy with tools like n8n. 

This shows the bot acting on intent, context, and role—not just keywords.

Key Benefits of AI Workflow Automation via Slack

  • Save Time: Eliminate repetitive replies
  • Improve Experience: Delight users with instant, intelligent answers
  • Contextual Intelligence: Remember conversation history
  • Easy Integration: Plug into your existing Slack + AI ecosystem
  • Scalable: Expand with more agents or APIs as needed

Build Your Own AI Agentic Workflows Today

This AI Slack Bot Google Gemini is a real-world example of how to use AI agents, agentic workflows, and no-code tools like n8n to transform daily business operations.

Ready to take your automation to the next level?

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Final Thoughts

AI-powered workflow automation is a current-day solution, not a future concept. By using platforms like n8n, Google Gemini, and Slack, you can create smart assistants.

You can build your own AI Slack Bot Google Gemini today by following the steps provided.

FAQs

What is an AI Slack Bot Google Gemini?

It’s a Slack-integrated automation that uses Google Gemini’s language model to process, understand, and reply to Slack messages in real time using contextual memory.

Do I need to code to build this?

No. Using n8n, you can build this with minimal or no code using drag-and-drop components.

Can I use another LLM besides Gemini?

Yes. The AI agent node supports multiple models—ChatGPT, Claude, Mistral, etc.

How do I keep context between chats?

The AI Slack Bot Google Gemini system uses the Slack token to identify and store conversation history in a memory buffer.

Is this scalable for larger teams?

Absolutely. You can customize and expand the workflow with more agents, tools, or data sources.

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