Ralph Loops: Build Dumb AI Loops That Ship — Chris Parsons, Cherrypick

AI Engineer · Intermediate ·🤖 AI Agents & Automation ·2w ago
Dumb loops beat clever workflows. Most teams building with AI agents reach for multi-agent orchestration, planning graphs, and elaborate tool chains. Then they spend months debugging them. A single loop that processes one ticket at a time, evaluates its own output, and improves on the next run will outperform all of it. In this hands-on workshop you will build three things. First, a working Ralph Loop that processes real tickets end-to-end. Second, a synthetic feedback loop so you can test and iterate locally without waiting on production data. Third, a self-improving cycle where the loop's output quality gets better with every run without you touching the prompt. Speaker info: - https://x.com/chrismdp - https://www.linkedin.com/in/chrisparsons/ - https://github.com/chrismdp
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

AMRs in Indian warehouses: How 3PL and e-commerce firms can make automation work
Learn how Autonomous Mobile Robots (AMRs) can improve warehouse efficiency in India's growing e-commerce and logistics sector
Dev.to AI
SEARCH
Learn how AiFinPay SDK empowers AI agents with seamless financial integration, and how to apply it in your projects
Dev.to AI
Models shouldn't have execution authority. Why we built a deterministic FSM runtime for AI agents.
Learn why probabilistic models shouldn't have execution authority and how a deterministic FSM runtime can improve safety for AI agents
Dev.to AI
Google I/O 2026 Turned Gemini Into An Agent Platform
Google I/O 2026 introduces Gemini as an agent platform, reframing its products around AI agents, and learn how this impacts AI development
Forbes Innovation
Up next
New Gemini App: Automate & Build ANYTHING!
Julian Goldie SEO
Watch →