PRODUCT

What is Calvin? Meet Simulate, Observe, and Improve

Calvin is an agentic AI governance platform with three products: Simulate, Observe, and Improve. Test before launch, verify production outcomes, and use observed mission misalignment to recommend changes to your agent.

Three products, one mission#

Start with the work you need your agent to do. Simulate turns that mission into scenarios and commitments you review and approve. Observe checks how the agent performs in production and whether its actions match those commitments. Improve uses observed misalignment to recommend changes to the agent’s prompt, configuration, or tools.

A voice agent can confirm an appointment without creating a calendar entry. A back-office automation can mark an invoice paid while the bank transfer fails. Calvin connects what the agent says or does with evidence of the resulting outcome.

Simulate: scenarios from a simple mission statement#

Describe your agent’s job in plain language, such as “Help patients book the right appointment, easily.” Simulate creates scenarios covering everyday requests and difficult edge cases, along with commitments for your team to review.

You don’t have to assemble an evaluation suite or become an evaluation expert. Your role is to confirm what success means for your business. Simulate exercises the agent against those commitments and gives each one a clear acceptance result. Fix issues and rerun the checks before launch.

Observe: connect in 5 minutes, keep watching#

Integrate your agent with Observe in 5 minutes. Observe checks real outcomes in production, groups recurring problems, and routes the evidence to a named owner.

For a booking agent, that means checking whether the confirmed appointment exists in the calendar. For a payment workflow, it means comparing the completion claim with the payment record. When reliable evidence is missing, the outcome stays unverified.

Improve: recommendations grounded in mission misalignment#

Improve turns observed misalignment with your mission into recommended changes to the agent’s prompt, configuration, or tools. It connects a proposed change to the commitment the agent missed and the evidence of what happened.

For a booking agent that confirms without creating an appointment, a recommendation could be to require a successful calendar response before confirming. Your team reviews the recommendation, deploys the change, and reruns the relevant checks.

Built for the person who owns the outcome#

Calvin helps teams responsible for conversational chatbots, back-office automation, and voice AI agents. They need to know whether the agent fulfilled its mission and who should act when it did not.

Simulate handles scenario creation; Observe brings together production issues and evidence; Improve recommends changes based on that misalignment. Teams can focus on improving their agent instead of building and maintaining their own scenario generators, checks, dashboards, and review workflows.

How Simulate, Observe, and Improve work together#

  • Define the mission and approve the commitments that matter to your business.
  • Use Simulate to exercise everyday requests and difficult cases, review the results, and rerun checks after a fix.
  • Use Observe to check production outcomes, group recurring issues, and route evidence to the right owner.
  • Use Improve to recommend prompt, configuration, or tool changes based on the misalignment Observe found. Your team reviews and deploys each change.
  • Turn production examples from Observe into future checks in Simulate. Your team decides and deploys changes, then verifies the fix.

Your team stays in control#

An outcome stays unverified when there is not enough reliable evidence to decide whether a commitment was met. Missing system access is not evidence of success or failure.

Calvin brings together the problem, supporting evidence, and a proposed change. Your team decides what to change and deploys it. The same checks then help verify whether the fix worked.

KEEP YOUR AGENTS IN ORBIT

Simulate: AI agent simulation and testing →
Observe: production monitoring and outcome verification →
Improve: recommendations for prompts, configuration, and tools →

See Calvin in action →

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