“Intelligent assistant interface exploring contextual agent orchestration.”
Olaf AI is an experimental agentic assistant framework designed to process multi-turn user intent and autonomously select tool executions.
Basic chat interfaces lack tool execution memory and structured context retention across long conversations.
AI Systems Engineer — Designed system prompt pipelines, function calling schemas, and context window trimming logic.
Microservice backend paired with vector similarity retrieval and modular tool handlers.
Achieved reliable tool invocation latency under 350ms for structured user queries.
Designing robust agentic prompts requires strict control flow scoping and explicit output validation.