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Verify＃

LLMs can generate non-factual or irrelevant information (hallucinations). For developers, this presents significant challenges:

  • Difficulty in programmatically trusting LLM outputs.
  • Increased complexity in error handling and quality assurance.
  • Potential for cascading failures in chained AI operations.
  • Requirement for manual review cycles, slowing down development and deployment.

Traditional validation methods may involve complex rule sets, fine-tuning, or exhibit high false-positive rates, adding to the development burden.

Verify is an intelligent verification service that validates LLM outputs in real-time. It's designed to give you the trust needed to deploy AI at scale in production environments where accuracy matters most.

This page provides an overview of the Verify service.

How Verify works＃

Verify offers one specialized product, designed to address specific AI validation needs:

  • Code: A specialized verification service for AI-generated code that identifies bugs, security vulnerabilities, and quality issues. It analyzes code changes in diff format and provides detailed explanations with actionable fixes.

Target applications and use cases＃

Developers can integrate Verify products into applications where AI output quality is paramount:

For Code:

  • AI coding assistants and IDE integrations.
  • Automated code review pipelines.
  • CI/CD security scanning for AI-generated code.
  • Development workflow automation.
  • Code quality assurance systems.

Next steps＃

  • Learn Code

    Learn how Code works to detect bugs and security issues in AI-generated code before they reach production.

    Explore Verify for Code

  • Guide Cursor

    Enable real-time code analysis during development by setting up Verify Code with Cursor.

    Code with Cursor