Glare helps product and design teams make better decisions while their work is still in progress. AI is speeding up output, but many teams still struggle to measure what works, align stakeholders, and prove impact. Glare combines UX metrics, decision maps, AI workflows, and assessments to help teams test ideas faster, reduce guesswork, and turn product decisions into measurable results.

DigitalOcean Serverless Inference — 55+ AI models behind one OpenAI/Anthropic-compatible API

55+ AI models behind one OpenAI/Anthropic-compatible API

Hi, I'm Bryan, ZURB's chief instigator. We built Glare because product and design teams are entering a different kind of pressure. AI is making it easier than ever to generate concepts, flows, and product output. But faster output does not automatically create stronger decisions. In many teams, the opposite is happening. More ideas survive longer, feedback keeps expanding, opinions start piling up, and teams slowly lose confidence in what should actually move forward. Glare is an open decision framework built to help teams move faster with clearer signals, measurable UX metrics, stronger design reviews, and better alignment across product, design, engineering, and leadership. Inside Glare you’ll find: • UX metrics and design signals • AI Skills and workflows • decision mapping frameworks • design assessments • review systems and scoring models • examples, templates, and documentation The goal is to help teams make better product and design decisions before bad ones scale. We’d love feedback, pushback, ideas, and examples from teams trying to navigate this new AI shift alongside us.