# Google Sheets API Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/google-sheets-api
> Markdown URL: https://aitinkerers.org/technologies/google-sheets-api.md
> Technology record last updated: 2026-02-24T20:08:30Z
> Generated: 2026-09-20T12:40:23Z

A powerful RESTful API for programmatic access to Google Sheets, enabling developers to read, write, and format spreadsheet data with precision (e.g., A1 notation).

The Google Sheets API (v4) is your direct, RESTful interface for deep programmatic interaction with spreadsheet data. Use it to fully automate data workflows: read values with `spreadsheets.values.get`, update cells, or apply advanced formatting, including conditional rules and charts. The API relies on unique `spreadsheetId` values and standard A1 notation (e.g., `Sheet1!A1:B10`) for precise range targeting. This structure ensures efficient, high-volume data operations, making it the essential tool for integrating Google Sheets into any custom application or service across Google Workspace.

- Official technology site: https://developers.google.com/sheets/api
- Public AI Tinkerers demos and talks: 4
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Lazy Marketing v3: From Meeting to Content Pipeline in Zero Click](https://seattle.aitinkerers.org/talks/rsvp_TtXOReDjy68)

Most of us have 10+ meetings a week full of insights worth sharing — but turning those into content never happens. Marketing Machine fixes that by wiring together Claude, Gemini, Slack, Google Sheets, and the LinkedIn API into a fully automated content pipeline. A Read.ai transcript hits a webhook. Claude extracts the best marketing hooks and expands them into on-brand LinkedIn posts using a 100+ line brand-voice prompt. You pick and refine posts entirely inside Slack with buttons and modals — no separate app needed. Gemini generates an accompanying image. Approved posts queue up in Google Sheets and auto-publish to LinkedIn on a schedule. In this demo, I'll walk through the full loop live — from raw meeting transcript to a published LinkedIn post — and dig into the prompt engineering, multi-model orchestration, and Slack-as-a-UI patterns that make it work. Built with Node.js, Express, and APIs anyone can sign up for. No GPUs, no fine-tuning, no ML infra required.

- Event context: AI Tinkerers Seattle: GTM Track — March — 2026-03-26 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_TtXOReDjy68

### [Scraping con IA: la Línea Invisible entre el Lead y la Víctima](https://bogota.aitinkerers.org/talks/rsvp_mKGDfZDjrsM)

Demostraremos diferentes técnicas de marketing para la recolección de leads de calidad y como con pequeños cambios estas mismas técnicas pueden ser utilizados por delincuentes para perfilar víctimas. Como debemos estar preparados porque es algo que va a ocurrir o ya está ocurriendo.

- Event context: AI Tinkerers Bogotá - Halloween Edition! — 2025-10-31 — Bogotá
- Public talk page: https://bogota.aitinkerers.org/talks/rsvp_mKGDfZDjrsM

### [The Lazy Builder's Guide to Marketing: Automated Content Generation from Meeting Recordings](https://seattle.aitinkerers.org/talks/rsvp_068FKAkayUw)

A technical walkthrough of an automated marketing content pipeline built in Make that captures meeting recordings via webhook, identifies which company/product is being discussed using ChatGPT, and automatically generates platform-specific marketing content. The system uses AI assistants with vector stores containing brand guidelines to create tweets and LinkedIn posts, generates images based on content hooks, and includes a Slack bot for human-in-the-loop approval/rejection workflows with rewrite capabilities. All content is tracked in Google Sheets as the source of truth.

- Event context: Friday - AI Tinkerers Seattle - May Meetup — 2025-05-31 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_068FKAkayUw

### [Automating Financial Operations with AI Agents in n8n](https://pereira.aitinkerers.org/talks/rsvp_baEqe2MrJe8)

Demo Summary: This demo showcases how to build and deploy a financial management agent using n8n as the orchestration layer. The agent automates tasks such as expense tracking, cash flow analysis, and alerting based on financial thresholds. By combining LLMs with visual workflows, we’ll demonstrate how non-technical teams can streamline repetitive financial tasks and enable smarter, faster decision-making.

- Event context: AI Tinkerers - Pereira: AI Builders Meetup #2 (May) — 2025-05-28 — Pereira
- Public talk page: https://pereira.aitinkerers.org/talks/rsvp_baEqe2MrJe8

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