The most used nodes

Pause the flow for a chosen length of time, or until a specific date and time, before continuing.

Expose the flow's actions through a server that AI clients can connect to and call as tools.

Give the flow its own URL so an outside system can start it by sending an HTTP request carrying data.

Change text along the way: find and replace, split, join, trim, and switch upper or lower case.

Find, create, and update records in hosted spreadsheet-style tables, so a run can look up rows, add entries, or keep data in step.

Upload, find, download, and organize files and folders in cloud storage from the flow.

Work with dates and times: change format, add or subtract time, and pull out parts like day or month.

Start the flow each time someone submits one of your online forms, with their answers as the input.

Generate text, images, audio, or embeddings from hosted models for drafting, transcribing, or search.

Sends email messages out of a flow by connecting to a mail server with your own credentials, setting recipients, subject and body.

Starts a run whenever someone submits a response to a linked form, passing the submitted answers into the rest of the steps.

Read and write rows in a hosted Postgres database and handle its sign-ins and stored files as steps in a run.

Sends plain text, images or other attachments, and pre-approved message templates to phone numbers from a connected business messaging account.

Reshape data by renaming fields, picking out parts, and building new objects for the steps that follow.

Post messages to channels or people in a team chat workspace, and react when activity happens there.

Steer how a run proceeds, such as repeating steps over a list, branching, or stopping the run early.

Sends prompts to Google's Gemini models and returns generated text, images, video, or spoken audio for later steps to use.

Send a prompt to a language model and use the generated text or its answer in later steps of the flow.

Work with a user's calendars: create, update, find or delete events, invite attendees, and react when meetings are scheduled or changed.

Turn a JSON text string into structured data, or turn structured data back into text.

Generate text and reason over long inputs using Claude models.

Search the web and pull the raw text out of result pages, so a model can read fresh sources.

Read, filter, and edit JSON with path expressions so a flow can pull out or reshape specific fields.

Call models deployed in your own Microsoft cloud subscription for chat, embeddings, and related tasks.

Connect to a self-hosted inference server to run open models for generation, embeddings, and reranking.

Route requests to many commercial and open-source models through one gateway and a single key.

Generate text, create embeddings, and turn text into spoken audio with one hosted model family.

Fetch web pages as clean text, search the web, and prepare content for models to read.

Convert documents such as PDFs into machine-readable markdown or JSON so later steps can extract their content.

Run a web search query and get back result snippets along with the matching page content.

Crawl a whole site or scrape single pages and return the page content as structured text.

Use GLM-family hosted models for chat, text generation, and embeddings.

Pull matching pieces of text out of a string using a pattern.

Add embedding and reranking models for building search and retrieval steps.

Read and act on repositories, issues, and other data held in a hosted source code service.

Turn markdown into DOCX, PPTX, XLSX, PDF, PNG, SVG, HTML, notebook, CSV, JSON, XML or wiki files, and save code blocks as source files.

Post messages into a workplace chat group through its bot.

Send messages to a team group chat through its robot webhook.

Search the web through a privacy-focused engine and return the results to the flow.

Run text embedding models on a fast self-hosted endpoint for search and retrieval steps.

Upload, download, copy, move, share and search files and folders in a Google cloud drive.

Send a prompt, with the incoming data filled in, to a connected language model and return its reply in one straight pass with no tools.

Supply a Google Gemini chat model, with its key and settings, as the brain that an agent, chain or extractor step uses.

Keep the last few turns of a conversation in memory and feed them back to the model so it remembers recent context per chat session.

Send a plain text or HTML message with attachments through any SMTP mail server, without being tied to one mail provider.

Supply a chat model served through OpenRouter, giving steps access to many vendors' models behind one key.

Create, read, update, delete and search records in a hosted database table, so a base can act as input or storage.

Supply an Anthropic Claude chat model, with its key and settings, as the brain that an agent, chain or extractor step uses.

Use Google Gemini directly for single jobs such as text replies, image and video handling, audio transcription and file uploads.

Turn incoming files or text into document chunks that embedding and vector store steps can index or search.

Create and update pages, blocks and database entries in a workspace wiki, and search or read existing content.

Turn text into OpenAI numeric vectors that a vector store or retriever step uses for similarity search.

Pull values out of HTML with CSS selectors, or build and tidy HTML markup from the data flowing through.

Run SQL queries against a Postgres database, and insert, update, upsert, select or delete rows in its tables.

Create, update, delete and list calendar events, and check when someone is free or busy.

Pull named fields out of messy text with a language model and hand them on as clean structured values.

Send text, template and media messages to customers over the business messaging cloud API and handle incoming ones.

Expose another saved automation as a tool an agent can call with arguments, getting its result back as part of the reasoning.

Supply a chat model hosted on Groq, giving steps a fast low-latency brain for agents, chains and extractors.

Create documents and read or insert and replace their text, so written content can be generated and updated automatically.