Master Stack AI with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Sign up for free account at stackai.com with no credit card required. Complete the interactive tutorial to understand the visual workflow builder and available blocks. Upload sample documents to create your first knowledge base for RAG
powered responses. Build your first agent using the templates library (customer service, document processing, or data extraction). Test your agent thoroughly using the built
in testing environment before deploying. Deploy your agent as a Slack bot, Chrome extension, or REST API to begin production usage. Monitor agent performance using built
in analytics and iterate based on user feedback.
💡 Quick Start: Follow these 4 steps in order to get up and running with Stack AI quickly.
Explore the key features that make Stack AI powerful for enterprise ai app builders workflows.
Drag-and-drop interface with 500+ pre-built blocks for AI operations, document processing, integrations, and business logic. Supports multi-model workflows using OpenAI, Anthropic, Google, and Cohere providers simultaneously. Real-time testing and debugging within the visual editor with execution monitoring and error handling.
Financial services team builds loan document processing agent that extracts applicant information, verifies documentation completeness, performs risk assessment using multiple AI models, and routes applications to appropriate underwriters—all without writing code.
Comprehensive security certifications including SOC 2 Type II, HIPAA, GDPR, and ISO 27001. AES-256 encryption at rest and in transit with TLS 1.3. Dedicated infrastructure through Azure OpenAI and AWS Bedrock. Customizable data retention policies and explicit guarantees that customer data is never used for AI model training.
Healthcare organization processes patient intake forms, medical records, and insurance documents with full HIPAA compliance, automated PII detection and protection, and audit trails for regulatory review.
Automatic document processing, chunking, and embedding for retrieval-augmented generation. Supports PDF, Word, PowerPoint, CSV, and email formats. Vector database storage with semantic search capabilities. Knowledge base versioning and access controls for different user groups.
Legal firm uploads thousands of case documents, contracts, and legal precedents that are automatically processed and indexed. AI agents provide contextually accurate legal research responses grounded in the firm's specific document collection.
Deploy agents as REST APIs, Slack bots, Chrome extensions, browser extensions, embedded widgets, or standalone web applications. Built-in analytics and monitoring for all deployment channels. Custom domain support and white-label options for enterprise branding.
Customer service team deploys the same AI agent across multiple channels: Slack bot for internal queries, Chrome extension for support agents, embedded widget on website, and REST API for mobile app integration.
100+ pre-built integrations including Salesforce, HubSpot, Google Workspace, Microsoft 365, Notion, Slack, PostgreSQL, and cloud storage platforms. Real-time data synchronization with webhook support. Custom API connectors for proprietary systems.
Sales operations team creates lead qualification agent that pulls data from HubSpot, enriches with web research, performs competitive analysis, updates CRM records, and sends personalized follow-up emails through integrated email platforms.
On-premise deployment, Virtual Private Cloud (VPC) configurations, and multi-tenant isolation. Single Sign-On (SSO) integration with SAML protocol. Role-based access controls with granular permissions. Dedicated infrastructure with SLA guarantees for enterprise clients.
Government agency deploys Stack AI on their secure network infrastructure with SSO integration, processes classified documents with appropriate clearance controls, and maintains complete data sovereignty while leveraging AI capabilities.
Stack AI maintains SOC 2 Type II, HIPAA, GDPR, and ISO 27001 certifications with AES-256 encryption at rest and in transit. They use dedicated infrastructure through Azure OpenAI and AWS Bedrock, offer on-premise and VPC deployment options, and provide explicit guarantees that customer data is never used for AI model training. Enterprise clients receive Business Associate Agreements (BAA) for healthcare use cases and Data Processing Agreements (DPA) with all AI providers.
While Flowise and Langflow offer greater technical customization at zero platform cost, Stack AI provides managed infrastructure, enterprise compliance certifications, professional support, and a more polished user interface. Stack AI targets enterprise buyers who need compliance and support, while open-source alternatives serve developers comfortable managing their own infrastructure and requiring maximum customization.
A 'run' counts each complete workflow execution from start to finish, regardless of complexity or number of blocks. The free tier includes 500 runs monthly with 2 projects and 1 user. Enterprise pricing is custom-quoted based on usage requirements, team size, and specific compliance needs. LLM API costs from providers like OpenAI and Anthropic are separate from platform costs.
Yes. Stack AI supports multi-model workflows where different blocks can use different AI providers (OpenAI, Anthropic, Google, Cohere) within the same workflow. The platform includes 100+ enterprise integrations and supports complex logic through conditional blocks, loops, and custom code execution. Enterprise clients often build sophisticated multi-agent systems handling end-to-end business processes.
Documented client results include Ducker Carlisle achieving $1 million in operational savings, LifeMD saving 475,000 hours annually, and various organizations reporting 60-80% reduction in document processing time. ROI typically comes from automating repetitive tasks, reducing manual document processing, improving customer response times, and enabling citizen developers to create AI solutions without engineering resources.
Now that you know how to use Stack AI, it's time to put this knowledge into practice.
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Tutorial updated March 2026