StackAI: Enterprise AI Agents in Seconds

StackAI is the no-code, drag-and-drop platform to build and deploy enterprise AI agents that automate manual work across every vertical.

We’re excited to introduce Auto Agents, a suite of tools within the StackAI platform that makes it incredibly easy to design, iterate, and optimize agents automatically. These tools will empower enterprise users of all technical skill levels to create reliable, robust AI agents for any business process. Whether you're in finance, legal, HR, support, or any other department, you’ll be able to take those painful, repetitive, and expensive processes and automate them at scale with AI.

Check out this brief video to see Auto Agents in action.

From idea to agent in minutes

With StackAI Auto Agents, teams can describe what they want to build in natural language, and the platform generates a complete, multi-step AI agent automatically.

For example, a user might ask the system to create an equity research agent—one that analyzes stock performance, scans recent news, evaluates opportunities, and produces a structured report. The platform will then design the agent end to end, assembling the workflow, tools, and logic required to complete the task.

Crucially, Auto Agents don’t operate as black boxes. Every generated agent can explain itself, walking users through each component of the workflow, how inputs flow through processing steps, and how outputs are produced. This makes it easier for teams to understand, validate, and build confidence in what the agent is doing.

Built-in prompt refinement, without the guesswork

Prompting remains one of the biggest barriers to reliable AI systems. Auto Agents address this directly.

Users can refine an agent’s behavior by describing how outputs should be structured, whether that’s a multi-section research report, a compliance summary, or a decision memo. With a single click, Auto Agents optimize prompts immediately, applying best practices to improve clarity, consistency, and performance.

Test, iterate, and build on results in real time

Once an agent is generated, teams can test it right away with real inputs. In the equity research example above, the agent can be run against a specific company, pulling in relevant financial data and recent news to generate a comprehensive report in minutes.

From there, users can interact directly with the results: asking follow-up questions, extending outputs, or generating downstream artifacts like emails or summaries. This interactive loop allows teams to iterate quickly and build layered workflows on top of existing results, all within the same platform.

Ready for real enterprise workflows

Auto Agents are designed for teams automating real business processes, not just demos. This launch reflects a broader shift in enterprise AI to systems that operate reliably at scale across the entire development lifecycle:

• Automatic agent generation from natural language descriptions
• AI-powered prompt refinement for better performance
• Real-time testing and iteration
• Interactive follow-ups through chat-based enhancements
• Enterprise-grade security and governance by default

Whether you're automating equity research, streamlining contract reviews, handling RFP responses, or tackling compliance audits, Auto Agents puts the power of AI automation in your hands.

StackAI Auto Agents are available now. To learn more or start building, visit stack.ai.