Get Started with Workflow Builder

Our no-code approach is anchored in a visual workflow builder that prioritizes ease of use. This is achieved through an intuitive drag-and-drop interface, with built-in chatbot assistance, and an optimal level of abstraction that caters to both technical and non-technical teams.

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Technical teams can extend capabilities even further by using a custom “Code” node (e.g. Python), a custom “API” node, or by building their own tools to orchestrate LLM-driven actions.

Our users can integrate with a broad ecosystem of applications, enabling support for the most common use cases across departments.

Department / Use Case

Integrations

Data & Analytics

Power BI, BigQuery, Databricks, Snowflake, Fred, Excel (Sharepoint), GSheets, Typeform, etc.

Engineering & Dev Tools

Github, Regex, SerpAPI, Weaviate, etc.

AI & Machine Learning

E2B, Pinecone, Wolfram Alpha, HyperBrowser, Reducto, VLM

CRM & Sales

Salesforce, HubSpot, LinkedIn, PitchBook, Yahoo Finance

Marketing

HubSpot, LinkedIn, Gmail, Outlook, YouTube

Project & Task Management

Asana, Clickup, Jira, Notion, Make, Coda, Miro

Collaboration & Communication

Slack, Loom, Gmail, Outlook, GDocs, Knowledge Base

ERP & Business Operations

Oracle, NetSuite, Workday, Veeva

Storage & File Systems

Google Drive, Dropbox, OneDrive, SharePoint, SharePoint (NTLM), Azure Blob Storage, AWS S3

Finance & Reporting

Excel, Airtable, Power BI, Yahoo Finance

Forms & Surveys

Typeform, GSheets

HR & People Ops

Workday, Outlook, LinkedIn

Automation & Integration

Hightouch, Make, Slack

Web & Social Monitoring

YouTube, Firecrawl, Exa AI

Our users can connect to a wide range of AI models:

AI Model

Integrations

LLMs

OpenAI, Anthropic, Google, Meta, xAI, Mistral, Perplexity, TogetherAI, Cerebras, Replicate, Groq, Azure, Bedrock, any local LLM via end-point, StackAI’s fine-tuned text-to-SQL model

Voice models

Deepgram, Elevenlabs

Image models

Stable Diffusion, Flux

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StackAI also supports connections with MCP servers, allowing your workflows to use not only integrations developed by StackAI’s team, but also integrate with tools served by third parties using the MCP protocol.

Making LLMs take autonomous actions is very easy. Users can add ‘tools’ (e.g., function calling) directly in the LLM node by selecting the one they want from a long list of possible actions. More advanced users can also add their own custom tools.

A screenshot of a chat AI-generated content may be incorrect.
A screenshot of a computer AI-generated content may be incorrect.

Users can interact with the assistant directly within the workflow builder to ask questions, get suggestions for improving their project, and easily access documentation for specific features.

A screenshot of a computer AI-generated content may be incorrect.

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