⚙️Under the Hood

This section explains the inner workings of our test generation and automation engine for engineers and advanced users, covering its logic, safeguards, and design choices.

Under the Hood

This section documents the internals of GPT Driver's automation engine. It’s intended for engineers debugging edge cases, reviewing system guarantees, or integrating with downstream tools.

Covered Topics

• Test Generation Converts plain-language inputs into deterministic, idempotent test cases using a fine-tuned Llama-3 70B model. Includes tagging, escape hatches, prompt templates, and drift control via test case hashing.

• Test Execution Executes test cases using a layered resolution stack: command parsing, UI element detection, and AI fallback logic. Includes scroll behavior, popup handling, screen stability checks, and fail-safe conditions.

When To Use This

• Need to validate hash consistency or trace why a test didn’t regenerate.

• Diagnosing AI-based interaction fallbacks during execution.

• Reviewing how UI stability or infinite loop detection is enforced.

Each subpage focuses on logic and safeguards, not UI-level workflows.