Build Beyond Chat—Make AI Do Sh*t.

No fluff. Just deep dives into tool-calling and agent auth to make your AI actually useful.

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Jamie-Lee Salazar
Alex Salazar
Nate Barbettini
Samira Rahmatullah
Renato Byrro
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How to Build an AI Agent for Gmail: A Complete Guide for 2025

As we step into 2025, AI-powered email automation has become a game-changer for productivity. Building your own AI agent for Gmail can transform how you manage communications, prioritize messages, and handle routine email tasks. This guide introduces the key concepts of creating a custom Gmail AI assistant, with special attention...

Announcing: Native support for MCP Servers

What is MCP? Model Context Protocol (MCP) is having a moment, and for good reason: it's an open, standard way to connect tools and agents. At Arcade, we're thrilled to see the industry adopting an open standard for tool calling, because it means even more options...

Arcade's $12M Milestone: A Conversation with Alex

Last week, we hit a major company milestone - and you can read all about it in TechCrunch! Arcade secured $12 million in funding from Laude Ventures. For those who haven't heard the full story, our co-founders Alex Salazar (former Okta exec) and Sam Partee (former Redis engineer)...

Tutorial: Text to SQL 2.0

How to use AI to query a customer database without writing SQL You've finally made it to Data Analyst at your dream company (yay!). You're excited to finally put all those hardcore SQL skills you've acquired over the years, maybe even use some of...

Introducing Arcade Deploy: Instant Hosting for your Custom AI Tools

Today we're launching Arcade Deploy, solving a critical challenge in AI development: how to quickly build, deploy, and iterate on custom tools that expand what your AI can do. With Arcade Deploy, you use our SDK to create specialized tools, then deploy them instantly to our cloud with...

Let's talk about LLM tools: simple additions with massive results

It’s popular to test Large Language Models (LLMs) by asking them to solve difficult puzzles, like multiplying huge numbers. These tests are interesting research benchmarks, but they can miss something important: real-world usefulness. When was the last time you asked a coworker to multiply a 20-digit number in their...

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