Stack AI : Visual platform to build and deploy AI agents with workflows

Stack AI is a no-code platform for building AI agents that can automate tasks, handle structured and unstructured data, and interact with APIs and tools. Designed for operations teams, developers, and business analysts, it enables users to create modular, workflow-based agents powered by large language models (LLMs). Stack AI is particularly useful for deploying internal tools, customer support assistants, document processors, and data pipelines—without writing code.

What sets Stack AI apart is its focus on orchestration, allowing users to connect LLMs with databases, vector stores, APIs, spreadsheets, and more in a visual builder. This approach makes it easier to prototype, test, and deploy AI agents that execute multi-step reasoning, retrieval, and tool use in real-world business environments.

What are the main features of Stack AI?

Visual agent builder with no-code interface

Stack AI provides an intuitive drag-and-drop interface for designing agent logic:

• Connect tasks, tools, and data sources in a flowchart-style builder.
• Add LLM steps like text generation, classification, or summarization.
• Rapidly build and iterate without writing backend code.

Integration with data sources and tools

The platform supports a wide range of integrations with business tools:

• Connect to Google Sheets, Notion, Slack, PostgreSQL, APIs, and custom webhooks.
• Allows agents to read, write, and take action based on external data.
• Ideal for automating reporting, CRM updates, or document analysis.

Multi-step workflows with logic control

Stack AI agents can perform complex sequences of actions:

• Include conditional logic, loops, branching paths, and fallback steps.
• Mix LLM outputs with business rules and structured data processing.
• Suitable for advanced automation like ticket triage, email routing, or lead scoring.

Retrieval-augmented generation (RAG) support

The platform supports RAG pipelines using connected data:

• Use vector databases (e.g., Pinecone, Weaviate) to retrieve context-relevant documents.
• Feed retrieved content into LLM prompts to generate more accurate responses.
• Improve output quality for knowledge-based tasks.

Collaborative and version-controlled development

Stack AI is built for teams managing agent logic collaboratively:

• Share and reuse workflow components across projects.
• Version control and testing tools help manage changes safely.
• Logs and observability features help track agent decisions and behavior.

Why choose Stack AI?

• No-code development: Build powerful agents without programming.
• Flexible workflow design: Combine LLMs, tools, and logic in a visual interface.
• Enterprise-ready integrations: Works with common business systems.
• Supports advanced automation: Logic, branching, and data retrieval in one flow.
• Fast iteration and deployment: Ideal for teams that need to move quickly.