# EverWorker Documentation Documentation > User Guide detailing EverWorker AI worker creator application usage and features. ## Guides - [EverWorker Platform Documentation](https://help.everworker.ai/docs/explore-everworker-product-documentation.md): Your guide to building intelligent AI Workers and Workflows - [Terminology](https://help.everworker.ai/docs/terminology.md) - [Navigation & User Experience](https://help.everworker.ai/docs/10-navigation-user-experience.md): This section covers the navigation structure and user experience design patterns. - [Workers Architecture](https://help.everworker.ai/docs/1-workers-architecture.md): This section covers the foundational architecture of the worker system - [Builder Tools](https://help.everworker.ai/docs/2-builder-tools.md): This section provides guidance for the creation, configuration and deployment of AI agents - [Provider & Integration System](https://help.everworker.ai/docs/3-provider-integration-system.md): This section covers the system for integrating external services and managing providers and connectors. - [Synchronizing default providers](https://help.everworker.ai/docs/synchronizing-default-providers.md) - [Creating a Provider](https://help.everworker.ai/docs/creating-a-provider.md) - [Creating a Connector](https://help.everworker.ai/docs/creating-a-connector.md) - [Skills & Capabilities](https://help.everworker.ai/docs/4-skills-capabilities.md): This section covers how Workers gain capabilities through Skills, including API integrations, AI Workflows, and MCP servers. - [Memory & Knowledge Management (EKE)](https://help.everworker.ai/docs/5-memory-knowledge-management-eke.md): This section covers the Enterprise Knowledge Engine and memory management systems. - [Business User Experience & Interfaces](https://help.everworker.ai/docs/6-business-user-experience-interfaces.md): This section covers the business user-facing interfaces and experience design. - [Admin & Management](https://help.everworker.ai/docs/7-admin-management.md) - [Authentication & Security](https://help.everworker.ai/docs/8-authentication-security.md): This section covers the authentication and security systems. - [Business Analytics](https://help.everworker.ai/docs/9-business-analytics.md): This section covers the analytics. monitoring and settings capabilities of the platform. - [Organizations](https://help.everworker.ai/docs/organizations.md): Team-based access control for organizing users, workers, and resources by department or team - [Canvas Nodes Reference](https://help.everworker.ai/docs/nodes.md): Complete reference for all AI Workflow nodes in Canvas - [● Input Node](https://help.everworker.ai/docs/input-node.md): A node used to define input data at the beginning of the Worker (AI agent) - [● Output Node](https://help.everworker.ai/docs/output-node.md): A node used to define output data at the end of the Worker (AI agent) - [● Universal LLM](https://help.everworker.ai/docs/universal-llm.md): A node used to perform Large Language Model execution that supports any LLM vendor through a single interface. This stateless node provides universal access to OpenAI, Anthropic, Google, and other LLM providers using direct HTTP calls. - [● API Call](https://help.everworker.ai/docs/api-call-1.md): A node that has a standard API call functionality for HTTP requests to external services and integrations. Supports all standard HTTP methods with flexible parameter handling and authentication. - [● Read URL](https://help.everworker.ai/docs/read-url.md): Universal URL reader for web content that extracts and converts web page content to clean, structured text. - [● Browser](https://help.everworker.ai/docs/browser.md): A node with browser automation capabilities for complex web interactions, form filling, and dynamic content extraction. - [● CSV to JSON](https://help.everworker.ai/docs/csv-to-json.md): A node used to convert CSV data to JSON format for easier processing by other nodes. - [● PDF to Images](https://help.everworker.ai/docs/pdf-to-images.md): A node used to convert PDF files to images with configurable resolution and format settings - [● Render Markdown](https://help.everworker.ai/docs/render-markdown.md): A node used to convert Markdown content into HTML, PDF, or DOCX formats and return a public URL to the rendered file. - [● Storage Upload](https://help.everworker.ai/docs/storage-upload.md): A node used to upload files to storage service and get public URL - [● Vector Save](https://help.everworker.ai/docs/vector-save.md): A node used to Save data to vector storage for semantic search and retrieval. - [● Vector Search](https://help.everworker.ai/docs/vector-search.md): A node used to search vector databases using semantic similarity. - [● Save to Collection](https://help.everworker.ai/docs/save-to-collection.md): A node used to save documents to user-defined collections with smart upsert handling. - [● Find in Collection](https://help.everworker.ai/docs/find-in-collection.md): A node used to query documents from user-defined collections with full MongoDB query support. - [● Run AI Workflow](https://help.everworker.ai/docs/run-ai-workflow.md): Execute another workflow with specific inputs, enabling modular workflow composition and task delegation to specialized components. - [● Run AI Worker](https://help.everworker.ai/docs/run-ai-worker.md): Prompt an AI Worker with your input and receive its response, enabling dynamic AI-powered interactions within workflows. - [● Route Workflow](https://help.everworker.ai/docs/route-workflow.md): Evaluate conditions and execute different workflows based on the result. Routes execution to different workflows using switch/case logic. - [● Repeat Workflow](https://help.everworker.ai/docs/repeat-workflow.md): Execute a workflow for each item in a list, in parallel. - [● Combine Workflow Results](https://help.everworker.ai/docs/combine-workflow-results.md): Combine results from multiple workflow executions into one. - [● Repeat Workflow Until](https://help.everworker.ai/docs/repeat-workflow-until.md): Execute a workflow repeatedly until a condition is met - [● Custom Nodes](https://help.everworker.ai/docs/custom-nodes.md): Canvas allows you to create your own algorithms and advanced processes using Custom Nodes. - [API Reference](https://help.everworker.ai/docs/api-reference.md): This section explains how to execute agents via HTTPS API requests - [API Output Schema](https://help.everworker.ai/docs/api-output-schema.md) - [Webhooks](https://help.everworker.ai/docs/webhooks.md): Configure webhooks to trigger AI Workers and AI Workflows from external systems - [Guides](https://help.everworker.ai/docs/guides.md): Step-by-step guides for common tasks and integrations - [EverWorker Claude Code Plugin (AI Builder)](https://help.everworker.ai/docs/everworker-claude-code-plugin.md) - [Enable an AI Worker in Slack](https://help.everworker.ai/docs/enable-ai-worker-in-slack.md): How to create a Slack App, configure it, and connect it to an EverWorker AI Worker ## Changelog - [Release Notes - January 19, 2026](https://help.everworker.ai/changelog/release-notes-january-19-2026.md)