Skip to content

Use Cases

Real-world scenarios where Assay shines.

Overview

Assay is designed for teams building production AI agents. Here are the most common use cases:

  • CI Regression Gate

    Catch breaking changes before they hit production. Every PR gets validated.

    Learn more

  • Trace-Driven Debugging

    Reproduce and diagnose production failures using recorded traces.

    Learn more

  • Air-Gapped Enterprise

    Run evaluations in secure environments with no external network access.

    Learn more

  • Agent Self-Correction

    Let agents validate their own actions before executing them.

    Learn more

Quick Comparison

Use Case Key Benefit Typical User
CI Regression Gate Zero-flake tests DevOps, Platform
Trace-Driven Debugging Fast root cause analysis On-call Engineer
Air-Gapped Enterprise Compliance, privacy Security, FinTech
Agent Self-Correction Runtime guardrails Agent Developer

By Industry

Financial Services

  • Requirement: No data can leave the network
  • Solution: Air-gapped deployment with local-only evaluation
  • Metrics: Sequence validation (auth before transactions)

Healthcare

  • Requirement: HIPAA compliance, audit trails
  • Solution: Trace recording + policy enforcement
  • Metrics: Blocklist (no unauthorized data access)

E-commerce

  • Requirement: Prevent pricing/discount errors
  • Solution: Argument validation on business-critical tools
  • Metrics: args_valid with min/max constraints

SaaS Platforms

  • Requirement: Fast iteration without breaking things
  • Solution: CI gates on every PR
  • Metrics: Full test suite in milliseconds

Getting Started

  1. Identify your pain point — Flaky tests? Slow CI? Compliance needs?
  2. Pick a use case — Start with one, expand later
  3. Follow the guide — Each use case has step-by-step instructions
  4. Measure results — Track time saved, failures caught

See Also