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About This Agent

Cekura is a specialized observability and validation platform engineered for the rigorous testing and continuous monitoring of AI agents. It provides a comprehensive suite for evaluating agent performance across both API-driven and browser-based workflows. By capturing and analyzing LLM traces alongside full browser session replays, Cekura offers deep, actionable insights into agent decision-making processes, tool usage, and failure points. The platform addresses critical operational friction such as silent agent failures, unpredictable behavior in dynamic web environments, and the difficulty of debugging complex multi-step tasks. It eliminates the guesswork in agent development by enabling teams to send documents as-is for realistic testing, validate browser agent interactions, and receive concise, actionable summaries of test outcomes. This accelerates the development lifecycle, reduces time-to-production, and ensures reliability at scale. Use cases span cross-border e-commerce catalog management, performance creative testing, automated outbound sales, software engineering pipelines, and customer care triage, where Cekura ensures agents operate correctly, efficiently, and within defined guardrails, delivering measurable improvements in task success rates and a significant reduction in manual oversight.

Agent Capabilities

  • Send documents in their native format for realistic agent testing without pre-processing.
  • Validate browser-based agent actions against expected outcomes with automated checks.
  • Receive concise, actionable summaries of test runs, highlighting key failures and successes.
  • Replay full browser sessions to visually inspect agent behavior and pinpoint errors.
  • Access detailed LLM traces to understand reasoning, tool calls, and token usage.
  • Monitor agent performance in production with real-time alerts on anomalies.
  • Integrate seamlessly into CI/CD pipelines for automated regression testing.
  • Generate comparative reports across different agent versions or configurations.

Primary Workflows & Use Cases

  • Automated validation of AI agents managing multi-vendor product listings across regional e-commerce platforms.
  • Regression testing for creative generation agents that produce and deploy ad variations across web channels.
  • Monitoring outbound sales agents to ensure compliant and effective communication during live prospect interactions.
  • Debugging software engineering agents that autonomously navigate repositories and execute code changes.
  • Quality assurance for customer care triage agents handling complex, multi-step support requests.

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