Eval directory
Evals for Vercel
8 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for Vercel AI products.
About Vercel
Vercel is the frontend cloud platform powering Next.js and modern web deployments. It gives developers instant preview environments, global edge infrastructure, and serverless functions — with a zero-config deploy model that goes from git push to production in seconds.
How complete this published benchmark library is across datasets, metrics, rubrics, use-case maps, and pack context. This is library coverage, not an agent performance score.
Test datasets
8/8 packs
Scoring metrics
0/8 packs
Judge rubrics
8/8 packs
Use-case maps
0/8 packs
Pack context
8/8 packs
Available eval packs for Vercel
8 packs ready to run.
Build Performance
Evaluates Vercel's Build Performance across 8 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Frontend Cloud & Edge Infrastructure eval coverage.
Custom Domains Tls
Evaluates Vercel's Custom Domains & TLS across 7 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Frontend Cloud & Edge Infrastructure eval coverage.
Deployment Pipeline
Evaluates Vercel's Deployment Pipeline across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Frontend Cloud & Edge Infrastructure eval coverage.
Edge Middleware
Evaluates Vercel's Edge Middleware across 8 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Frontend Cloud & Edge Infrastructure eval coverage.
Preview Environments
Evaluates Vercel's Preview Environments across 7 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Frontend Cloud & Edge Infrastructure eval coverage.
Serverless Functions
Evaluates Vercel's Serverless Functions across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Frontend Cloud & Edge Infrastructure eval coverage.
Team Access Observability
Evaluates Vercel's Team Access & Observability across 8 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Frontend Cloud & Edge Infrastructure eval coverage.
V0 Ai Code Generation
Code CheckerEvaluates Vercel's v0 AI Code Generation across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Frontend Cloud & Edge Infrastructure eval coverage.
Why eval Vercel AI
Vercel's AI features ship behind brand promises about accuracy, safety, and reliability. Buyers and integrators need to know those promises hold up under adversarial prompts, edge-case workflows, and the long tail of real customer inputs — not just the demo path.
The Corsac eval library for Vercel measures four dimensions teams care about most when deploying code assistant agents:
- Adversarial robustness — does the agent resist prompt injection, jailbreaks, and social-engineering attempts?
- Workflow quality— does it complete the task buyers were shown in the demo, on inputs that don't look like the demo?
- Safety gates — does it escalate or refuse when it should, and only then?
- Operator quality — does it preserve analyst trust by surfacing the right context at the right time?
Every eval pack above is hand-authored against Vercel's public product surface and runnable in Corsac with your own data.