If you’re interested in getting set up, check out the dashboard guide.

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👋 Welcome to Your Agent’s Control Room

AI agents don’t just make predictions — they perform multi-step workflows, invoke tools, navigate interfaces, and adapt in real-time.

That complexity comes at a cost: it’s easy for agents to behave unexpectedly, fail silently, or succeed for the wrong reasons.

We built this platform to give you deep observability into how your agent thinks, acts, and learns — across every run.

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🧠 Why Observability Matters

Running an agent once doesn’t tell you how it behaves.

• Agents are non-deterministic
• They’re made of chained actions, not just outputs
• A single successful session can hide dozens of edge cases

To build agents you can trust, you need to see what they’re doing — and why.

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🛠 What This Platform Does

We help you:

• Analyze individual Sessions of agent behavior
• Inspect each Step and the Events within
• Run Mass Simulations to observe variability at scale
• Visualize agent behavior through Workflow Trajectories
• Define structured, flexible Rubric Evaluations
• Version and experiment with prompts via Prompt DB
• Debug stuck logic using Time Travel

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🚀 Next Steps

Ready to dive in?

• Get Started in the UI — Run your first Session and view the dashboard
• Use the Python SDK — Record and evaluate agents from your code

We’re excited to help you build agents that are observable, debuggable, and production-ready.

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💬 Need Help?

Questions, feedback, or something not working right?

Reach out to us at team@lucidic.ai — we’d love to help.

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