Как заставить OpenClaw проверять свою работу перед отправкой #openclaw #ai #агенты

The content discusses the limitations of having an AI agent (OpenClaw) verify its own work, as this approach lacks independent oversight and may not catch errors effectively. The video explores strategies for implementing proper quality control mechanisms where agents can validate their outputs before submission, emphasizing the importance of independent verification rather than self-checking by the same agent that produced the work.

Key Points

• •Self-verification by the same agent that created the work is ineffective and lacks objectivity
• •Independent quality control requires a separate verification mechanism or agent
• •Agents should implement pre-submission checks before delivering final results
• •Multiple verification layers improve reliability and error detection rates
• •OpenClaw can be configured to use different agents or criteria for validation vs. execution
• •Verification workflows should include explicit success/failure criteria
• •Bias in self-checking can lead to overlooked errors and quality issues
• •Implementing checkpoint systems helps catch problems early in the workflow

Workflow Diagram

Concepts