# Tool calls Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/tool-calls
> Markdown URL: https://aitinkerers.org/technologies/tool-calls.md
> Technology record last updated: 2026-03-12T22:44:04Z
> Generated: 2026-09-22T09:53:02Z

Tool calls enable Large Language Models (LLMs) to execute external functions, APIs, or code, extending their capability beyond text generation to perform real-world actions.

Tool calling—often termed function calling—is the mechanism that transforms an LLM from a passive text generator into a proactive, agentic system. It works by having the model intelligently output a structured JSON object (not executing the code itself) that specifies which external tool to call and with what parameters (e.g., calling a `get_weather` function with `location: Paris`). This capability allows the AI to access real-time data, execute complex calculations, automate workflows, and interact directly with third-party systems like CRMs or databases, fundamentally bridging the gap between conversational AI and operational software.

- Official technology site: https://platform.openai.com/docs/guides/function-calling
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Bridging pain points to n8n workflows for non-technical users](https://seattle.aitinkerers.org/talks/rsvp_a30Qj3j3Btg)

- Demo a webapp that produces an n8n automation via conversation (AI agent chat + generative UI + artifacts) - Demo agent conversation that iteratively builds the requirements and asks user clarifying questions - Knowledge mining methods and representation for automation nodes - Anecdotes on challenges, solutions, improvements

- Event context: AI Tinkerers Seattle - April Meetup — 2025-04-25 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_a30Qj3j3Btg

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