Product

Runtime recovery for AI agents that call real tools.

Nxolaryn helps teams define what an agent is allowed to do when it loops, breaks a tool contract, loses state, slows down, burns tokens, or reaches a review-sensitive action.

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What the product controls

Runtime boundaries

Set the guardrail around tool calls, API calls, handoffs, database actions, or approval-sensitive steps.

Recovery policies

Define the approved response: pause, block, retry once, fallback, normalize, or human review.

Decision records

Create a compact record that engineering, security, and operations teams can review without exposing payloads.

Agent workflow review

Map the highest-risk failure boundary before a pilot or production-adjacent test.

Security-first intake

Keep logs, prompts, credentials, source code, PHI, payment data, and customer records out of public channels.

Enterprise-ready claims

No fake SOC 2 claims, fake customer logos, fake case studies, or unsupported production promises.

Evaluation shape

Start narrow so the product can be evaluated clearly.

01

Choose one workflow

Pick an agent workflow that calls tools, APIs, databases, or internal systems.

02

Choose one boundary

Focus on loop, schema, state, latency, token spend, or approval behavior.

03

Choose one recovery path

Decide whether the workflow should pause, stop, retry, fallback, or route to a human.

Production-adjacent review requires written scope.

Do not send non-public logs, prompts, credentials, source code, customer data, regulated data, or production payloads through the public website or ordinary email.