Forge does not assume that the newest or largest AI model is automatically the best choice. Instead, Forge qualifies models for specific operational roles using repeatable evaluation suites, measurable evidence, deterministic validation, and human review.
Qualified models become eligible for production routing.
Determine whether a candidate model can reliably translate operator intent into valid Forge Mission Contracts while preserving constraints and minimizing human correction.
The Forge Qualification Specification is intentionally not frozen. Forge is still learning which operational metrics best predict successful AI worker performance across different roles, hardware, tools, and operators.
This demonstration shows how Forge qualifies AI models for operational roles rather than assuming capability based on model size or benchmark rankings.
The local qualification shown here has completed. The AMD ROCm qualification uses the identical evaluation suite, allowing a direct evidence-based comparison between local execution and AMD-accelerated execution.
Only identical qualification suites are compared. Projected or estimated results are never displayed.