
AI-Powered Sticky Note Processing with Manual Trigger
Processes sticky notes using AI-driven language models, initiated by manual execution.
Found 4894 workflows with current filters

Processes sticky notes using AI-driven language models, initiated by manual execution.

Collects client feedback, analyzes it with AI, and sends summary reports via email and Telegram.

Extracts data from incoming webhooks, processes files, and sends updates via Slack.

Automates retrieval, filtering, and organization of Spotify tracks into playlists and databases.

Automates PostgreSQL operations triggered manually for streamlined data handling.

Automates scheduling tasks, processes data in Google Sheets, and leverages AI for analysis.

Triggers on Postgres updates, filters data, and automates transfer to Google Sheets.

Automates image tag cleanup and sends notifications based on scheduled triggers.

Analyzes YouTube videos with AI models, parses results, and sends summary emails.

Automates checking and updating files on GitHub, handling file differences and statuses.

This workflow automates extracting and processing data from URLs using AI and batch logic.

Triggers on workflow events, processes data, and sends a summary via Gmail with optional updates.