Real-World Agentic AI Demos

I want demos of existing client/real-world Agentic AI projects with underlying code relevant from an interview standpoint (not toy examples). Goal: cover realistic scenarios and architectures from interview standpoint around: 1. Agent Anatomy — (Prompt + Tools + Memory) × LLM * Prompting, CoT/ReAct, structured output, model selection * Tool calling, RAG-as-a-tool, short-/long-term memory 2. Knowledge + Topology * Chunking, embeddings, vector DBs (pgvector/Pinecone) * Hybrid retrieval, RRF, reranking, retrieval evaluation metrics * Single-agent ReAct, planning/reflection, orchestrator-worker, handoffs, MCP/A2A 3. Reliability Envelope * Guardrails, prompt-injection defense, LLM-as-judge evaluation * Caching/cost optimization, observability, Human-in-the-Loop (HITL) Note: The above topics are broad; covering roughly 70% of them across the proposed projects is sufficient. Prioritize concept coverage from interview standpoint including tradeoffs.

Project ID: 40530578