Introduction

SteelEngine is an AI operations workspace for building, connecting, deploying, and governing AI agents. Start with a natural-language request in Chat or design deterministic automation on the visual canvas. Connect the tools, data, documents, and knowledge your agents need; deploy through apps and production interfaces; then monitor and govern every execution from one workspace.

The SteelEngine Lifecycle

Build

Create agents in Chat or on the visual workflow canvas. Test every step, combine AI reasoning with deterministic logic, and add human approval where judgment matters.

Connect

Use 1,000+ tools and integrations alongside built-in databases, tables, docs, and knowledge bases so agents can act with trusted business context.

Deploy

Publish automation as Apps, REST APIs, webhooks, Hosted Chat, Hosted Forms, schedules, email-driven Chat tasks, or MCP tools.

Operate

Trace execution inputs, outputs, cost, duration, and errors. Manage access, credentials, models, versions, billing, and deployment through the governance layer.

SteelEngine visual workflow canvas

What You Can Build

AI Assistants & Chatbots
Build intelligent conversational agents that integrate with your tools and data. Enable capabilities like web search, calendar management, email automation, and seamless interaction with business systems.

Business Process Automation
Eliminate manual tasks across your organization. Automate data entry, generate reports, respond to customer inquiries, and streamline content creation workflows.

Data Processing & Analysis
Transform raw data into actionable insights. Extract information from documents, perform dataset analysis, generate automated reports, and synchronize data across platforms.

API Integration Workflows
Orchestrate complex multi-service interactions. Create unified API endpoints, implement sophisticated business logic, and build event-driven automation systems.

How It Works

Visual Workflow Editor
Design workflows using an intuitive drag-and-drop canvas. Connect AI models, databases, APIs, and third-party services through a visual, no-code interface that makes complex automation logic easy to understand and maintain.

Modular Block System
Build with specialized components: processing blocks (AI agents, API calls, custom functions), logic blocks (conditional branching, loops, routers), and output blocks (responses, evaluators). Each block handles a specific task in your workflow.

Flexible Execution Triggers
Launch workflows through multiple channels including chat interfaces, REST APIs, webhooks, scheduled cron jobs, or external events from platforms like Slack and GitHub.

Real-time Collaboration
Enable your team to build together. Multiple users can edit workflows simultaneously with live updates and granular permission controls.

Integrations

SteelEngine provides 1,000+ tools and integrations across 180+ connected services:

  • AI Models: OpenAI, Anthropic, Google Gemini, Groq, Cerebras, local models via Ollama or VLLM
  • Communication: Gmail, Slack, Microsoft Teams, Telegram, WhatsApp
  • Productivity: Notion, Google Workspace, Airtable
  • Development: GitHub, Jira, Linear, automated browser testing
  • Search & Data: Google Search, Perplexity, Firecrawl, Exa AI
  • Databases: PostgreSQL, MySQL, Supabase, Pinecone, Qdrant

For custom integrations, leverage our MCP (Model Context Protocol) support to connect any external service or tool.

Chat

Ask Questions & Get Guidance
Chat answers questions about SteelEngine, explains your workflows, and provides suggestions for improvements. Use the @ symbol to reference workflows, blocks, documentation, knowledge, and logs for contextual assistance.

Build & Edit Workflows
Switch to Agent mode to let Chat propose and apply changes directly to your canvas. Add blocks, configure settings, wire variables, and restructure workflows with natural language commands.

Adaptive Reasoning Levels
Choose from Fast, Auto, Advanced, or Behemoth modes depending on task complexity. Start with Fast for simple questions, scale up to Behemoth for complex architectural changes and deep debugging.

Learn more about Chat capabilities and how to maximize productivity with AI assistance.

Deployment Options

Cloud-Hosted
Launch immediately at steelengine.com with fully managed infrastructure, automatic scaling, and built-in observability. Focus on building workflows while we handle the operations.

Self-Hosted (Enterprise)
Deploy on your own infrastructure using Docker Compose or Kubernetes with an Enterprise subscription. Maintain complete control over your data with support for local AI models through Ollama integration. Contact sales@steelengine.com for details.

Next Steps

Ready to build your first AI workflow?

Common Questions

Yes. Community includes 1,000 credits renewed each calendar month for one member. Paid self-serve plans are Builder at $25/month for 6,000 credits, Team at $100/month for 24,000 credits and up to 5 members, and Scale at $500/month for 120,000 credits and up to 10 members. Annual billing saves 15%. Enterprise pricing is custom, and partner-assisted implementation is available separately.
Yes, with an Enterprise subscription. Contact sales@steelengine.com for self-hosted deployment options.
SteelEngine supports 15+ providers including OpenAI, Anthropic, Google Gemini, Groq, Cerebras, DeepSeek, Mistral, xAI, and OpenRouter. You can also run local models through Ollama or VLLM at no API cost. Bring Your Own Key (BYOK) is supported so you can use your own API keys at base provider pricing with no markup.
No. SteelEngine is a no-code visual builder where you design workflows by dragging blocks onto a canvas and connecting them. For advanced use cases, the Function block lets you write custom JavaScript, but it is entirely optional.
There is no limit on the number of workflows you can create on any plan. Usage limits apply to execution credits, rate limits, and file storage, which vary by plan tier.
SteelEngine offers 1,000+ tools and integrations across 180+ connected services, including AI models, communication tools, productivity apps, development platforms, search services, and databases. For anything not built in, use Model Context Protocol (MCP) support to connect custom services.
SteelEngine is purpose-built for AI agent workflows rather than general task automation. It provides a visual canvas for orchestrating LLM-powered agents with built-in support for tool use, structured outputs, conditional branching, and real-time collaboration. Chat also lets you build and modify workflows using natural language.

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