Use IaaS in Your Make Scenarios

This guide demonstrates how to integrate NeurochainAI with Make (formerly Integromat) to create smarter, AI-driven workflows. By combining Make’s no-code automation with NeurochainAI’s powerful inference models, you can automate tasks such as text processing, data analysis, and content generation seamlessly.

As an example, this guide will walk you through building a Slack AI bot that processes messages in a public channel and responds intelligently in real-time.

What is Make?

Make is a no-code platform for building workflows, called scenarios, that connect apps, APIs, and services. Its visual interface makes it easy for users—technical or not—to design complex automations with minimal effort.

When paired with NeurochainAI, Make workflows can include tasks like text summarization, response generation, and data analysis, unlocking smarter automation possibilities.

Why Use NeurochainAI with Make?

Integrating NeurochainAI into your workflows offers:

  • Intelligent Automation: Handle tasks requiring reasoning, creativity, or advanced analysis.

  • Scalability: NeurochainAI’s Distributed Inference Network (DIN) ensures efficient processing, even under high demand.

  • Flexibility: Seamlessly integrate NeurochainAI with tools like Slack, Google Sheets, or CRMs.

  • Ease of Use: NeurochainAI’s robust API fits naturally into Make’s HTTP module for smooth integration.

Example: Building a Slack AI Bot with NeurochainAI

This Slack AI bot will monitor messages in a public channel, process them with NeurochainAI, and post AI-generated responses back to the channel.

Step 1: Monitor Slack Messages

  1. Add Slack - Watch Public Channel Messages Module:

    • Drag the Slack - Watch Public Channel Messages module to your scenario.

  2. Connect Your Slack Account: Follow the prompts to authorize Make to access your Slack workspace.

  3. Select the Channel: Choose the public channel you want the bot to monitor.

Whenever a new message is posted in the selected channel, this module triggers the workflow and passes the message data to the next step.

Step 2: Process the Message with NeurochainAI

Use the HTTP Request module to send the captured message to NeurochainAI for processing.

  1. Add the HTTP Request Module:

    • Drag the HTTP Request module into your scenario.

  2. Configure the Module:

    • Method: POST

    • URL: https://ncmb.neurochain.io/tasks/message

    • Headers:

      • Authorization: Bearer YOUR-API-KEY-HERE

      • Content-Type: application/json

    • Body Type: RAW

    • Request Content:

      {
  "model": "Meta-Llama-3.1-8B-Instruct-Q6_K.gguf",
  "prompt": "You must respond directly to the user's message, and the message the user sent you is: {{4.text}}",
  "max_tokens": 1024,
  "temperature": 0.6,
  "top_p": 0.95,
  "frequency_penalty": 0,
  "presence_penalty": 1.1
}

    Replace {{4.text}} with the Slack trigger module's message variable using Make’s drag-and-drop mapping feature.

  3. Enable Parse Response: Activate Parse Response to process NeurochainAI’s JSON response automatically for easy mapping in the next step.

Step 3: Send the AI-Generated Response Back to Slack

  1. Add Slack - Create a Message Module:

    • Drag the Slack - Create a Message module into your scenario.

  2. Configure the Module:

    • Connect Your Slack Account: Use the same account as in Step 1.

    • Select the Channel: Choose the same monitored channel.

    • Text Field: Map the AI-generated response to the text field, typically in the format:

      {{10.data.choices[].text}}

How the Workflow Operates

  1. Messages posted in the Slack channel trigger the workflow.

  2. The HTTP Request module sends the message to NeurochainAI for processing.

  3. NeurochainAI generates a response and sends it back.

  4. The Slack module posts the AI-generated reply in the channel.

Beyond Slack: Additional Use Cases

NeurochainAI and Make can automate tasks across various platforms:

  • Customer Support: Automate responses to inquiries with AI-generated replies.

  • Marketing: Generate personalized emails, social media posts, or campaign ideas.

  • Data Analysis: Extract insights from survey responses, forms, or reports.

  • Team Collaboration: Summarize discussions or provide suggestions in tools like Slack or Microsoft Teams.

  • Content Creation: Automate blog ideas, product descriptions, or creative content generation.

Why Choose NeurochainAI for Automation

NeurochainAI brings intelligence to your workflows, offering:

  • High Performance: Distributed Inference Network ensures reliable processing.

  • Flexible Models: Access advanced models for text generation, analysis, and more.

  • Seamless Integration: Effortlessly connect to platforms like Make.

  • Cost Efficiency: Pay only for the resources you use.

Start building smarter workflows today with NeurochainAI and Make! Visit our NeurochainAI Guides for more templates, tutorials, and resources to help you unlock AI-powered automation.

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