
Automated HTTP Data Processing and AWS SQS Queue Integration
This workflow automates scheduled HTTP data retrieval and processes messages with AWS SQS.

This workflow automates scheduled HTTP data retrieval and processes messages with AWS SQS.

Summarizes uploaded Google Drive files using AI and sends results via Gmail upon manual trigger.

Triggers manually to fetch unread mailbox messages and sends updates via StickyNote using webhooks.

Automates lead collection, enrichment, and outreach using Lemlist, HubSpot, and Airtable.

Automates stickynote creation and management via manual trigger and API calls.

Imports synonym data from OpenThesaurus with a manual trigger for controlled data updates.

Initiates a Microsoft Excel process manually for streamlined data handling.

Converts images to 3D models using Falai Trellis and stores results in Google Drive automatically.

Automates fetching, splitting, and processing essay texts, integrating AI and vector storage.

Automates data extraction, processing, and updates via Baserow, triggered by webhooks.

Streamline sales outreach by integrating Lemlist, HubSpot, and Slack for efficient lead management.

Processes chat messages using OpenAI, integrates external search, and aggregates responses.