Agent Workbench: Debug AI agents autonomously

This week, we launched Proactive Agents, introducing user memory and outbound voice to help organizations deliver concierge customer experiences. But just as important as transforming the end user experience is improving the builder experience. At Decagon, our goal is to make the agent building and iteration process as easy as possible so your AI agent improves exponentially over time. 

That’s why we built Agent Workbench, an AI chat assistant that accelerates debugging with consolidated access to audit logs, agent reasoning, tool errors, and more. Unlike traditional software, AI agents make probabilistic decisions on dynamic prompts, so failures surface as subtle quality drops or unexpected escalations rather than clear error messages. Having the right tools to navigate that complexity is critical.

The missing link between visibility and resolution

Agent Workbench is a built-in chat assistant that helps business teams go from identifying a problem to resolving it, without needing to loop in engineering. It enables you to:

• Identify root causes without waiting on engineering or vendor support. Empower anyone on your team to debug and get visibility into workflow issues.
• Get clear explanations of AI behavior. Understand full context from prompt rationale to specific logic conditions, so you can see exactly what went wrong and how to effectively fix it.‍
• Take the right steps to autonomously refine workflows and fix issues. Quickly resolve problems with actionable guidance, so your agents keep running, your CX metrics stay strong, and you deliver the concierge experiences your customers deserve.

Diagnose issues without engineering support

When something goes wrong with AI agents today, the typical path to resolution is slow, including steps like filing a ticket, waiting for an engineer or vendor to investigate, and exchanging context over multiple back-and-forth messages. Take a simple example. When you’re building out your agent and it accidentally selects the wrong Agent Operating Procedure (AOP), every interaction in the meantime is a missed opportunity to deliver a better customer experience.

Agent Workbench helps you catch issues like that before they compound. Anyone on your team can immediately investigate without waiting on technical support, getting full visibility into workflow details, conversation history, and exactly where things broke down. Pre-built sample prompts make it easy to get started, and you can share your Workbench conversation directly with teammates so they can get up to speed and take over with no context lost.

The result is faster issue identification and fewer roadblocks, giving your team the clarity to move forward with confidence.

Go beyond logs: understand exactly why your agent behaved that way

Raw traces and logs are starting points, but they don't tell the full story. To effectively debug agents, teams need context on situations like why a particular AOP node executed the way it did or where a latency issue originated. Without clear answers to these questions, debugging becomes guesswork.

With Agent Workbench, you can easily distill logs, workflow execution, latency events, and tool errors into plain, understandable explanations to make AI behavior legible to anyone on your team. As a result, you can confidently answer why something went wrong and move forward with debugging solutions grounded in full context.

Take action to autonomously refine workflows and resolve issues

Understanding what went wrong is only half the battle. The harder part is knowing what to do next. When some tests pass but others fail, how do you improve the conditions of an AOP to make it more reliable? When conversations result in underperforming metrics, how do you figure out what's holding performance back?

These are exactly the kinds of questions Agent Workbench is built to help you answer, acting as your debugging partner every step of the way. By understanding your debugging intent, it surfaces actionable, contextualized suggestions tailored to your situation, whether that's fixing AOP configuration issues, improving AOP conditions, resolving knowledge gaps, or addressing hallucinations.

That targeted guidance adds up to end-to-end autonomy, giving teams the full toolbox to identify, understand, and act on issues instantly. Problems get resolved quickly, agents keep running, and your brand can continue delivering reliable, concierge-level support at scale.

From visibility to resolution: see what Agent Workbench can do for your team

Agent Workbench brings together everything CX teams need to stay on top of agent performance, such as root cause identification without engineering bottlenecks, clear explanations of AI behavior, and actionable guidance to fix and optimize workflows on the spot. Together, these capabilities give your team the autonomy to build, improve, and maintain agents quickly.

Ready to take control of your agent's performance? Book a demo to see Agent Workbench in action.