Modern businesses rely on interconnected tools to manage operations, communications, and data pipelines. Yet, manually linking these tools often results in redundant workflows, delayed actions, and human error. puq.ai addresses this challenge by providing a modular, AI-enhanced automation platform that enables seamless integration between services such as Gmail, Slack, and HTTP-based APIs.

This post provides a technical walkthrough of how puq.ai can be used to automate workflows across commonly used platforms, with a focus on constructing robust integrations using Gmail, Slack, and HTTP Request nodes.

Overview of puq.ai Capabilities

puq.ai is a scalable, no-code automation platform with the following core features:

  • Visual Flow Builder: Drag-and-drop interface for rapid workflow construction

  • Integrated AI Nodes: NLP, classification, summarization, and generation

  • Modular Integrations: Gmail, Slack, Discord, HTTP, Notion, Sheets, etc.

  • Conditional Logic Support: If/else branching, loops, and path splitting

  • Token Management: Secure OAuth2 and API key storage for connected services

  • Event-Driven Architecture: Real-time trigger-response pipelines

Use Case: Forwarding Specific Gmail Messages to Slack via puq.ai

Objective

Build an automated flow that:

  1. Monitors Gmail for new incoming emails from a defined sender

  2. Sends a message to a specific Slack channel with the parsed content

  3. (Optionally) Makes an HTTP call to enrich or validate the data before delivery

Step-by-Step Implementation

  1. Initialize Workflow

  • Navigate to https://puq.ai and authenticate

  • Select + New Workflow > Blank Flow

Each flow consists of nodes connected via data pipelines. Begin with a trigger node.

2. Add Gmail Trigger

  • Add a new node: Gmail → New Email Received

  • Authenticate using OAuth 2.0 or access token

  • Set filter criteria:

  • From: [email protected]

  • Subject: Contains Proposal

  • Enable polling frequency (e.g., every 5 minutes)

The Gmail node will output metadata such as sender, subject, body, timestamp, threadId, and attachments.

3. (Optional) Add HTTP Request Node

  • Insert HTTP Request node

  • Configure HTTP GET/POST:

{

  "url": "https://api.company.com/validate-email",

  "method": "POST",

  "headers": {

    "Authorization": "Bearer {{secure_token}}",

    "Content-Type": "application/json"

  },

  "body": {

    "email": "{{sender}}",

    "message": "{{body}}"

  }

}

  • Parse the returned JSON using puq.ai’s built-in JSONPath or template engine

  • Use conditionals to continue or halt flow based on the response

4. Send Message via Slack

  • Add Slack → Send Message node

  • Authenticate with Slack OAuth or Bot Token

  • Select channel (e.g., #inbound-leads)

  • Use template variables in message:

New Email Received:

From: {{sender}}

Subject: {{subject}}

{{body | truncate(300)}}

Additional options:

  • Add buttons or rich formatting using Slack Blocks

  • Thread messages using thread_ts if needed

5. Activate and Monitor

  • Validate the workflow via test mode

  • Activate and deploy

  • View logs via puq.ai’s execution viewer

  • Monitor status codes, retries, and response times

  • Filter failures via node-level logs

[Gmail Trigger]

     ↓

[Optional: HTTP Request]

     ↓

[Slack Notification]

The flow is synchronous by default. For asynchronous processing, utilize delay nodes or webhook triggers.

Additional Automation Scenarios

Scenario

Components Used

Description

AI-Powered Summarization

Gmail → AI Node → Slack

Generate summaries of email content using GPT and post to Slack

CRM Sync

Gmail → HTTP API

Send contact and email data to CRM systems like HubSpot or Salesforce

Incident Alerting

HTTP Webhook → Slack

Use incoming webhook as trigger for alerts from external monitoring systems

Daily Digest

Gmail (batch) → AI → Slack

Aggregate emails and send daily summary message to Slack

Security Considerations

  • OAuth tokens are stored securely using encrypted storage

  • HTTP nodes support custom headers, authentication, and SSL verification

  • All flows are isolated within user-scoped containers to ensure execution sandboxing

  • Rate limits and retries can be configured per node

Conclusion

puq.ai provides a flexible, low-code approach for integrating core services like Gmail, Slack, and HTTP endpoints. Whether you're building customer support alerts, internal monitoring dashboards, or AI-enhanced automation, puq.ai offers a powerful toolchain to streamline your operations.

For API-first teams, the inclusion of direct HTTP support and AI functions unlocks advanced automation scenarios without the need to deploy custom backend services.

Ready to Build?

Visit puq.ai to create your free account and deploy your first workflow today. For detailed documentation and SDK support, refer to the puq.ai Docs.