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Open to talks and workshops

AgentOctober 10, 2026

Product recommendation agent

Turns a shopping question into ranked product picks with a short explanation of why each fits.

To build an agent as an explicit graph, where each step can be tested and swapped on its own.

A natural-language request, e.g. a product need and a budget.

A ranked list of products with a one-paragraph explanation.

A LangGraph state graph with five nodes: analyse the intent, search a FAISS index of products, refine the results, explain the picks, format the response.