Real-World Agentic AI Demos
Budget: $20 – $40 USD
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.
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.