Renato Byrro

Renato Byrro

Engineer

Engineering founder turned AI builder. Started by creating automated investment signal systems in Brazil, scaled and sold the company to Conway, then spent years helping other developers through technical writing and advocacy. Now at Arcade, building systems that let AI models take real-world actions - from sending emails to scheduling meetings.

Articles (4)

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PRODUCT RELEASE

The Arcade Salesforce MCP Server Has Got a Big Upgrade

Arcade's Salesforce MCP server grew from 3 tools to 17 — covering the full CRM workflow from first touch to closed deal, with leads, opportunities, tasks, and call logging built in.

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PRODUCT RELEASE

Your AI Agent Can Finally Work With Microsoft Office 365

Arcade's Microsoft Office 365 MCP servers give your agent full read and write access across Word, Excel, PowerPoint, OneDrive, and SharePoint. Over 30 production-grade tools — handling binary file formats, session management, concurrent edits, and the OAuth maze that is Microsoft Graph — so you don't have to.

PRODUCT RELEASE

Patterns for Agentic Tools: Your agents are only as good as your tools.

The Moment Every few years, a new pattern language emerges that changes how we build software. In 1994, the Gang of Four gave us Design Patterns. In 2003, Hohpe and Woolf gave us Enterprise Integration Patterns. Since then: Microservices Patterns, Cloud Patterns, and now Agent Patterns. But there's a gap. Agents can chat and reason on their own - but they can't ‘act’ without tools. Standards like MCP have unlocked how agents discover and call tools. The protocol layer is solved. What's missin

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THOUGHT LEADERSHIP

The Birth of Machine Experience Engineering

LLMs acting on behalf of humans and interacting with real-world systems isn't theoretical anymore - with the advent of function calling, it is now a reality. And with Arcade, function calling becomes a superpower that connects LLMs to authorized APIs, user services, and complex systems. With this shift, we're seeing the emergence of a new software practice: Machine Experience Engineering (MX Engineering). The Current Reality For AI models to handle our emails, schedule appointments, and manag

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