DEVOPSdigest

SnapLogic announced AgentCreator 3.0, an evolution in agentic AI technology that eliminates the complexity of enterprise AI adoption.

The new release empowers organizations to build and scale their own AI solutions with no coding required.

With AgentCreator 3.0, businesses are no longer constrained by human resource limitations. Instead, they gain access to a limitless workforce powered by AI-driven digital labor that works tirelessly, scales infinitely, and augments their best talent with PhD-level intelligence.

“We are ushering in the third wave of AI, moving beyond narrow AI tools to autonomous agents that reason, take action, and continuously improve,” said Jeremiah Stone, CTO of SnapLogic. “AgentCreator 3.0 is the breakthrough enterprises have been waiting for—a no-code, trustworthy, and scalable solution designed for real business impact. More than just a technical shift, this marks the end of traditional SaaS and introduces a new era of AI abundance. By democratizing AI engineering, we are empowering business users, analysts, and developers to become AI creators.”
Prompt Composer and Agent Visualizer Make AI Engineering Accessible to All

Building on the success of prior versions, key additions to AgentCreator 3.0 include Prompt Composer and Agent Visualizer, making it easier than ever for customers to build, visualize, and refine intelligent agents for complex workflows

Prompt Composer is a visual prompt editor that simplifies prompt creation for faster iteration and stronger results, enabling anyone, from business users to engineers, to create, test, and refine AI instructions in real time on a single screen. This ensures high precision and adaptability as LLMs evolve.

Agent Visualizer provides full transparency into AI decision-making, ensuring enterprises can trust, audit, and refine agent behavior. The visualization tool delivers a step-by-step breakdown of an agent’s decision-making process, including which tools, APIs, and sub-agents were used. This scalable visualization for complex workflows clearly displays why agents take certain actions, enabling faster debugging, improved visibility into AI automation, and greater confidence in AI-powered decision-making.

AgentCreator 3.0 eliminates these barriers, enabling fully operational AI from day one by empowering organizations with:

- AI-ready data: 1,000+ pre-built connectors in a unified data, application integration, and API management platform accelerate the transition to a composable, agentic enterprise.

- AI as digital labor: Autonomous AI agents augment employees by taking on complex tasks and automating work that was previously exclusive to humans.

- DIY AI without complexity: Unlike Python-based AI frameworks, AgentCreator 3.0 enables enterprises to build custom-tailored AI agents visually, using clicks instead of code.

- Security and governance: Built-in data security, access controls, and AI policy enforcement ensure AI is trusted, compliant, and explainable.

- AI workforce collaboration: Seamless collaboration between AI agents and employees, including escalation mechanisms for human expertise when needed.

SnapLogic is also introducing support for the Model Context Protocol (MCP) to further accelerate the adoption and deployment of Agentic AI. By becoming MCP-native, any agent, pipeline, or managed API can function as an MCP server. This capability allows AgentCreator agents to both consume and serve as MCP endpoints—securely deployed and governed within an organization’s own domain.

AgentCreator 3.0 marks a shift from static applications to intelligent, self-evolving AI workflows. This is the future of digital labor, where businesses no longer rely on fixed software but instead create AI-powered assistants that adapt, scale, and continuously learn.