50 hard test cases that catch what generic AI chatbots miss

Most WhatsApp AI agents fail on adversarial prompts, Hinglish code-switching, Indian compliance rules, and multi-turn memory. This free eval framework gives you the exact test cases to find those failures before your customers do. 50 test cases · 10 categories · 85%+ pass-rate threshold.

Why eval matters more than demos

• ~30% — hallucination rate in domain-specific Q&A for out-of-the-box LLMs without retrieval augmentation.
• ~70% — prompt-injection success rate against chatbots without explicit adversarial guardrails.
• <5% — share of SMB chatbot deployments in India with compliance eval coverage (GST, FEMA, cash transaction limits).

10 categories, 5 cases each

1. Adversarial / Prompt Injection — system prompt extraction, guardrail bypass, persona hijack
2. Multi-turn Context — remembering earlier details, resolving references
3. Ambiguity Resolution — vague requests needing clarification
4. Out-of-scope / Boundary — requests the agent should refuse
5. Hallucination Prevention — questions where the agent might fabricate plausible answers
6. Business Logic Edge Cases — business rules, tax logic, policy constraints
7. Difficult Customers — angry, unrealistic, or manipulative customers
8. Hindi / Hinglish / Code-switch — Devanagari, mixed-language, cultural context
9. Compliance & Safety — tax evasion, data privacy, regulated categories
10. Operational Workflows — scheduling, migration, invoicing, escalation

Scoring

Each case scores 1.0 (pass), 0.5 (partial), or 0.0 (fail). The 85%+ threshold means at least 43 of 50 cases must fully pass; partial scores on CRITICAL cases count as fail. Run the full suite before every deployment.

Download the PDF · Want it run professionally? Data Onboarding + RAG (₹49,999) includes 100 eval cases against your data with an 85%+ pass-rate guarantee.