Introduction

Got AI agents? Neatlogs is here to help you debug them faster and easier by making teamwork on agent projects a breeze.

So, What's "Debugging an Agent" Anyway?

Unlike regular code where errors often scream at you, AI agents (and LLM systems in general) are a bit more mysterious. When your agent gives you a puzzling result, you usually need to:

1. Look closely at what it produced.
2. Dive into its "trace" – that's the step-by-step log of its thoughts and actions – to figure out where it took a wrong turn.

Most of the time, these hiccups come down to issues with:

• Your Prompts: The instructions you give the agent.
• Its Tools/APIs: The capabilities you've equipped it with.

Finding and fixing these tricky spots in your prompts and tools? That's what we mean by agent debugging.

How Neatlogs Helps You Debug Agents

Neatlogs helps your team get AI agents production-ready, faster, by bringing developers and domain experts together, right where the action is.

• Goodbye, Vague Feedback: Forget deciphering notes in spreadsheets. With Neatlogs, your whole team collaborates directly on the agent traces themselves.
• Actionable Fixes: Evaluations and discussions turn directly into clear actionable tasks.
• Everything in One Place: No more hunting for context. Neatlogs keeps all the important info together, helping your team build and launch reliable AI agents, often twice as fast. That means getting to revenue sooner!

How is Neatlogs different from an Agent Observability Tool?

Here's the thing: Neatlogs isn't just another observability tool. It's built from the ground up for team collaboration on AI agent projects.

Many observability tools miss a couple of key things:

1. Debugging is a Team Effort: They often treat debugging like it's just for developers. But let's be real – without your domain experts (the folks who really know the process your agent is automating), debugging can feel like fumbling in the dark.

2. User Experience Matters for Everyone: They can be pretty overwhelming for non-technical folks, making it tough for domain experts to jump in and help.

While other tools might show you what your agent did, they don't always make it easy for your team to work together on why it did it, or how to fix it. This often leads to scattered conversations across Slack, email, and spreadsheets.

Neatlogs changes that. By keeping everything centralized, you'll find less back-and-forth, more "aha!" moments, and your AI agents becoming more reliable, faster.

Who is Neatlogs For?

If you're part of a team building an AI agent, Neatlogs is for you. It helps you iterate more quickly and collaborate smoothly, whether your stakeholders are in the next room or across the globe.

Easy Integration

Seriously, you can bring collaborative debugging to your project with just two lines of code:

import neatlogs
neatlogs.init(<INSERT YOUR API KEY HERE>);

What You Can Do With Neatlogs

Evaluations

Evaluating agent responses is a key step to improve your AI. Neatlogs makes this simple.

• Evaluate Directly: Provide feedback (Correct, Incorrect, Mixed Result) right from the trace table or within a detailed trace view.
• Full Context: Click any response to see its full content and leave specific comments.
• Quick Navigation: Handy navigation buttons let you move from one response to the next without missing a beat.

It’s the most straightforward way to gather and act on evaluations.

Trace

Tired of endless scrolling through logs and confusing prompt templates? We feel you. Neatlogs gives you the world’s cleanest UX for looking at agent traces, designed to make debugging feel less like a chore.

• Every Step, Crystal Clear: See all your agent's moves—thoughts, tool uses, delegated tasks—laid out distinctly.
• Highlight Errors: No more doom scrolling for finding errors. We’ll point them out for you.
• Comment Anywhere, On Anything: Got feedback on a prompt? A thought? A tool call? An agent's final answer? Leave a comment right there.
• Get the Gist, Fast: Need a quick overview? Generate an AI summary of the entire trace to speed up your analysis.
• Smart Design, Smooth Experience: Little UX touches throughout help you find what you need in the trace, quicker than ever.

Comments

Why limit feedback to just the final output? Neatlogs lets everyone on your team—especially your domain experts—comment anywhere on the trace.

• Pinpoint the Problem: They can point to the exact part of the agent's process that needs attention.
• No More Guesswork: Say goodbye to vague feedback and endless back-and-forth emails.
• Stay in the Loop: Get notifications when someone comments on a project you're on, so you never miss vital feedback.

This means clearer communication, fewer unnecessary meetings, and faster fixes.

Task Management

This is where it gets really cool. Once you and your team have talked through an issue in a comment thread, Neatlogs can use AI to turn that conversation into a task and pop it onto a Kanban board.

• AI Does the Heavy Lifting: No more manually writing up task descriptions or figuring out who said what.
• Context is King: Since Neatlogs knows your prompts, workflow, and traces, it can even suggest smart ways to tackle the task.

![Task Management GIF][insert gif]