Eval directory
Evals for Oncology Starter
4 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for Oncology Starter AI products.
Available eval packs for Oncology Starter
4 packs ready to run.
Oncology Curbside Trials V1
CorrectnessAnswer RelevanceStarter eval pack for evidence-based clinical trial recommendations, emphasizing trial status verification, completeness of eligibility variables, and citation fidelity.
Oncology Intake Triage V1
Task CompletionKnowledge RetentionStarter eval pack for oncology intake triage with emphasis on oncologic emergencies and escalation safety.
Oncology Longitudinal Episodes V1
CorrectnessTask CompletionSmall longitudinal eval pack (multi-turn) that tests stability, safe escalation, and de-escalation with safety-netting.
Oncology Precision Variants V1
Answer RelevanceSmall eval pack for interpreting common actionable variants with citation fidelity to public variant knowledgebases.
Why eval Oncology Starter AI
Oncology Starter'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 Oncology Starter measures four dimensions teams care about most when deploying medical & clinical ai 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 Oncology Starter's public product surface and runnable in Corsac with your own data.