Scenario-based evaluation
Turn intended behavior, edge cases, and risk questions into repeatable evaluation scenarios.
Make AI-enabled experiences more understandable, testable, and useful before people rely on them in important workflows.
AI features can be helpful, variable, and difficult to evaluate with a single happy-path check. Confidence comes from making expectations explicit and examining meaningful boundaries.
Agape Tech helps teams design evaluation scenarios, explore failure modes, validate guardrails, and connect model behavior to the experience people are meant to have.
Focused engineering, useful feedback, and a clear next step.
Turn intended behavior, edge cases, and risk questions into repeatable evaluation scenarios.
Examine response quality, consistency, relevance, and failure behavior across representative inputs.
Check boundaries, refusal behavior, escalation paths, and the controls around model-assisted workflows.
Evaluate the AI feature as part of the product, including human review, data flow, and user-facing states.
Clarify the intended user experience, acceptable variation, important risks, and human responsibilities.
Build a focused set of normal, boundary, adversarial, and recovery cases around the real workflow.
Run the scenarios, inspect behavior, and make the evidence understandable to product and engineering teams.
Create repeatable checks and feedback that can evolve with the model, prompt, and product.
From professional organization websites to customized management applications, we design practical solutions around your goals, technical requirements, and budget.