How to Build an AI Agent with Function Calling in Node.js Using Google Gemini
July 24, 2026 / #Node.js How to Build an AI Agent with Function Calling in Node.js Using Google Gemini Zia Ullah Last year, a client asked me to add a conversational interface to their internal reporting tool. Staff would type a question, and the system would pull a live answer from the database. But a week in, a tester typed: "What is the weather in Berlin, and how much would 500 EUR convert to in USD right now?" The model called the weather function, returned that answer, and ignored the second half of the question entirely.
- ▪July 24, 2026 / #Node.js How to Build an AI Agent with Function Calling in Node.js Using Google Gemini Zia Ullah Last year, a client asked me to add a conversational interface to their internal reporting tool.
- ▪Staff would type a question, and the system would pull a live answer from the database.
- ▪But a week in, a tester typed: "What is the weather in Berlin, and how much would 500 EUR convert to in USD right now?" The model called the weather function, returned that answer, and ignored the second half of the question entirely.
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July 24, 2026 / #Node.js How to Build an AI Agent with Function Calling in Node.js Using Google Gemini Zia Ullah Last year, a client asked me to add a conversational interface to their internal reporting tool. Staff would type a question, and the system would pull a live answer from the database. I had the first version running in a day. Single questions worked. But a week in, a tester typed: "What is the weather in Berlin, and how much would 500 EUR convert to in USD right now?" The model called the weather function, returned that answer, and ignored the second half of the question entirely. That is the gap between a chatbot and an agent. A chatbot works from training data. That's its limit. An agent doesn't have that limit.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More .
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