Portfolio
Conversational Agent Engineering (CAE) Framework
OpenAI APICekuraRetellLiveKitLLM AgentsVoice AI
Reusable methodology and engineering framework for designing, generating and QA-testing production conversational agents.
Project summary
Created a reusable engineering framework for designing and QA-testing production conversational agents.
Key outcomes
- Structured business requirements into reusable conversation architectures, prompt patterns, nodes, routing rules and variable models.
- Designed QA processes covering happy paths, edge cases, adversarial scenarios, personality-based stress tests and regression testing.
- Defined quality metrics and failure-analysis workflows for prompts, routing, state handling and business-rule compliance.
- Documented methodology, node references, runtime behavior, variable models and evaluation practices for repeatable development.