Feature

Agentic Simulation

Automatically Uncover Agent Behaviors—Before Real Users Do

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Feature

Agentic Simulation

Automatically Uncover Agent Behaviors—Before Real Users Do

play-icon

Feature

Agentic Simulation

Automatically Uncover Agent Behaviors—Before Real Users Do

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Simulate Any Persona.
Stress-Test Every Turn.

Okareo simulations are dynamic, synthetically generated conversations based on a Persona's objectives. Personas can represent real-world user archetypes like:

New Users unfamiliar with your product

New Users unfamiliar with your product

New Users unfamiliar with your product

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Power Users who ask edge-case questions

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Power Users who ask edge-case questions

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Power Users who ask edge-case questions

Hackers probing for loopholes

Hackers probing for loopholes

Hackers probing for loopholes

Unhappy Customers with high emotional volatility

Unhappy Customers with high emotional volatility

Unhappy Customers with high emotional volatility

You define your target personas, and Okareo does the rest—automatically generating conversations, evaluating every exchange, and revealing behavioral blind spots.

Behavior Maps, Not Just Metrics

Okareo doesn't just log outputs—it builds a behavior map of your agent’s decisions across hundreds or thousands of conversations. Each turn is automatically evaluated for:

Goal alignment

Goal alignment

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Factuality

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Factuality

Relevance

Relevance

Safety

Safety

Conversational Flow

Conversational Flow

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Factuality

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Factuality

Goal alignment

Goal alignment

Conversational Flow

Conversational Flow

Safety

Safety

Relevance

Relevance

Zoom in to explore which types of inputs trigger problems. Zoom out to see patterns across Persona types and turn depths. No more guessing where to improve.

Simulation-Driven Debugging and Improvement

Agent Simulations work hand-in-hand with the rest of the Okareo platform. Once issues are detected, you can:

Improve individual nodes in your agent logic

Improve individual nodes in your agent logic

Improve individual nodes in your agent logic

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Adjust prompts or tool usage in specific branches

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Adjust prompts or tool usage in specific branches

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Adjust prompts or tool usage in specific branches

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Generate datasets directly from failed runs

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Generate datasets directly from failed runs

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Generate datasets directly from failed runs

Write guidance rules tailored to high-risk user behaviors

Write guidance rules tailored to high-risk user behaviors

Write guidance rules tailored to high-risk user behaviors

It’s your lab for iterative improvement—no manual testing required.

Join the Trusted Future of AI

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Join the Trusted Future of AI

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Join the Trusted Future of AI

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