Keanan Koppenhaver
Head of Developer Relations at Retool
Keanan leads Retool's developer relations team where he helps tomorrows builders get inspired and learn how to build the next generation of internal tools and automations with AI. He's built more side projects than he can keep track of and is always asking, "How hard could it be?" before diving into a build head-first.
Articles
The 6 layers of AI observability: From infrastructure to agents
AI observability requires tracking six layers: infrastructure, data, models, agents, workflows, and applications. Learn to debug and optimize AI agents in production.
How to build a calendar concierge agent
Learn how to build a calendar concierge agent with Retool Agents that automates scheduling, resolves conflicts, and saves time.
A guide to prompting in Retool
Discover effective prompting strategies, best practices for combining AI generation with manual coding, and how to leverage your business data securely—all in Retool.
Build vs buy AI agents: why custom solutions win long-term
Explore the pros and cons of custom built vs. ready-made AI agents. Find the right fit for speed, cost, and long-term business advantage. Read the guide.
What is RetoolGPT? How we built an internal AI assistant
RetoolGPT is a custom-built AI chatbot powered by Retool, giving teams secure access to internal knowledge via LLMs like OpenAI, Anthropic, and DeepSeek.
How to use MCP in Retool: Two setup options for AI agents
Learn how to equip Retool agents with MCP-powered tools, such as Jira or GitHub, using two easy setup options.
Model Context Protocol: An essential standard for AI-powered tool selection
Model context protocols are changing how language models use memory and context. Discover what MCPs are, how they function, and where they’re making an impact.
Everything you need to know about vibe coding
Vibe coding makes development faster and more accessible. But is it all good vibes? Learn the benefits, risks, and best practices for fully AI-powered coding.
How the University of Texas Medical Branch improved diagnostic testing for thousands of patients using AI
Learn how the University of Texas Medical Branch improved and expanded its diagnostic testing for patients using Retool AI.
How to talk to management about AI
Get leadership's buy-in on your next AI project. Read this guide to talking to management teams about the business benefits and challenges of AI.
What are LLMs good at—and where do they struggle?
Large language models (LLMs) have strengths and weaknesses like any emerging technology. Read which use cases help you get the most out of your LLMs.
