Evaluation surface
Agents, LLM applications, RAG systems, copilots, or autonomous workflows.
Share the AI system and evaluation workflow you want to discuss. The team can respond with current product and commercial information.
Use the meeting request to ask about current commercial details
Describe the AI system and quality workflow you want to evaluate so the team can respond with relevant current information.
Agents, LLM applications, RAG systems, copilots, or autonomous workflows.
Scenario volume, datasets, evaluators, business rules, and critical acceptance criteria.
Trace sampling, quality monitoring, failure analysis, and regression feedback.
API, SDK, CI/CD, webhooks, quality gates, and release decision points.
Retrieval systems, knowledge sources, project separation, and retention requirements.
Access, auditability, deployment context, and security review requirements.
We can use the meeting to understand the behavior you need to evaluate, the risks you need to catch, and how quality decisions fit into your release process.
Map the AI application and its critical path
Define what successful behavior looks like
Identify evaluation and production signals
Outline integration and release touchpoints
Book a meeting to discuss the AI systems, evaluation workflow, and production context you need to support.