Field notes, primers, and case-tested patterns from Rangle on agentic systems, design systems, frontend, and AI strategy.
Showing 1–12 of 28 posts
Design tools used to compete on features. Better prototyping. Smoother collaboration. Faster rendering. That race made sense when design was a human activity and the deliverable was pixels on a screen.
Ship AI Features
An FAQ from the Rangle design systems team on making design systems AI-ready—covering documentation strategies, semantic token naming, MCP servers, validation feedback loops, and practical guidance on bridging design systems with AI coding tools like Copilot, Cursor, and Claude.
Scale Design
Search engines now use AI to answer questions directly, often without sending users to your site. This comprehensive guide covers Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO)—two complementary strategies for appearing in AI-generated answers, featured snippets, and voice search results.
Enterprise transformations consistently fail because companies rush from high-level strategy straight into design and development, bypassing the crucial work of defining what they're actually building and why.
Align Product Strategy
Vibe coding with Claude can lead to fast code and bad abstractions. Learn how the OODA Loop and interview step improve AI-generated code quality. Part of the 2025 AI Coding Workflow Best Practices Series.
Build Engineering Capability
Agentic development is 2-4x faster. We price it that way. Most consultancies wouldn't. Faster delivery at the same rate means more margin. But we'd rather align incentives from day one than have clients wondering whether we're padding timelines.
Launch New Products
I'm not a developer, but I built and deployed a headless AI agent in a single day – at zero cost. In this guide, I'll walk through my approach, the technologies I used, and how I integrated embeddings from our headless CMS for retrieval-augmented generation (RAG). I'll also cover how I implemented an open-source AI governance tool to ensure accountability and monitoring.
Ship AI Features
Adopting a headless architecture enables businesses to launch AI-driven experiences faster – without requiring a complete overhaul of existing tech stacks. Industry leaders like Nike and Alaska Airlines use this approach to cut costs and deliver AI-powered customer experiences that set them apart.
Escape CMS & Commerce Lock-In
AI initiatives often get stuck in the Proof of Concept (POC) stage or fail to deliver tangible business value. The team might "build the solution," but it doesn't address the real problem.
Ship AI Features
Enterprises often struggle with rigid, outdated front-end systems that drive up costs and hinder their ability to adapt to market demands. Here's what a modern, AI-ready tech stack looks like and how you can achieve AI readiness incrementally in complex enterprise environments.
Modernize Your Stack
Learn how to launch promotional banners and sales content seamlessly across your site without developer bottlenecks. We cover how to audit your sales content workflows to create a headless e-commerce roadmap that works for your brand and walk through examples of how we've solved sales campaigns for major e-commerce brands.
Escape CMS & Commerce Lock-In
Generate nuanced translations for your e-commerce site using AI. Learn how to set up, fine-tune, and integrate AI models seamlessly with your headless CMS for automatic content translation. Uncover practical steps for implementation, from choosing the right language model to architecting efficient translation workflows that align with your budget and goals.
Ship AI Features