projects by Jeremie Charlet
From Prompts to an Agentic System
As its public face, a chatbot needs to project the values and character of the organization it represents. In this series of liveProjects, you’ll help out a local pet refuge by building an AI-powered chatbot that shares both the knowledge and the attitudes of that compassionate institution. Starting with prompt engineering and persona design, you’ll progressively layer in curated search, multi-use case handling, and callback scheduling. You’ll take advantage of OpenAI’s API along with LangChain and LangGraph to create a custom assistant that can deliver 24/7 pet care guidance. By the end, you’ll have a sophisticated AI agent that blends empathy, domain-specific knowledge retrieval, and intelligent routing.
This series accompanies Michael Lanham's best-seller AI Agents in Action.
Build a Reasoning & Workflow Agent
In the third liveProject, you’ll upgrade the capabilities of the RAG-enhanced chatbot, turning it into a multi-use-case agent using advanced reasoning, custom tools, and the ReAct framework. First, you’ll build a robust prompt chain with reasoning to classify queries and route them to the right path. Next, you’ll add practical tools and workflows with LangGraph to handle out-of-scope cases, capture user info, and blend retrieval with classification. Finally, unify everything into an agentic system that can choose tools, search knowledge, collect details, escalate when needed, and keep conversations natural.
Add Curated Knowledge Base Search
In this second liveProject, you’ll add Retrieval Augmented Generation (RAG) to a pre-existing chatbot so that it can provide up-to-date and reliable responses to questions fielded by the pet refuge. First, you’ll connect your chatbot to a document store and test it on real pet care questions to ensure answers are grounded in reliable sources. Then, you’ll improve retrieval quality by expanding the knowledge base, refining queries to better capture user intent, and adding smart filters for more relevant, precise results.
Designing Persona & Core Skills
In the first liveProject, you’ll create a basic chatbot that can reliably field questions in a way that’s consistent with the mission of the pet refuge. You’ll craft structured, effective prompts and design a persona for your chatbot, implement the basic functionality, and then test, refine, and improve your chatbot with iterative evaluation.
