Eval directory
Evals for Lovable
8 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for Lovable AI products.
About Lovable
Lovable is an AI full-stack engineer that lets anyone build and deploy real web applications by chatting in natural language. Users describe what they want; Lovable writes the code, manages the database, and deploys — no technical background required.
Available eval packs for Lovable
8 packs ready to run.
Auth And Integrations
Lovable evals — Auth & Integrations (relift v3 InfraRed)
Chat To App Generation
Lovable evals — Chat-to-App Generation (relift v3 InfraRed)
Codebase Context And Github Integration
Lovable evals — Codebase Context & GitHub Integration (relift v3 InfraRed)
Database And Backend Supabase
Lovable evals — Database & Backend (Supabase) (relift v3 InfraRed)
Deployment And Hosting
Lovable evals — Deployment & Hosting (relift v3 InfraRed)
Iterative Editing
Lovable evals — Iterative Editing (relift v3 InfraRed)
Quality And Errors
Lovable evals — Quality & Errors (relift v3 InfraRed)
Safety Cost And Governance
Lovable evals — Safety, Cost & Governance (relift v3 InfraRed)
Why eval Lovable AI
Lovable'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 Lovable 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 Lovable's public product surface and runnable in Corsac with your own data.