v0.9.9.1

Release v0.10.0

💎 Glare v0.10.0: Wiki Migration, AI Metrics & Forum Refresh!

We’re closing out v0.9.x by moving our knowledge base home, laying the groundwork for AI-driven insights, and streamlining community navigation.

Glare Wiki

  • Fully replaced our old WordPress site with the new Glare Wiki!

  • Imported over 40 Define pages in one sweep using our WP-to-Glare importer, so your go-to docs and definitions live here now.

  • This migration paves the way for faster updates, richer content blocks, and a unified help experience.

Performance Metrics

  • Took our first deep dive into AI Performance metrics thinking—mapping key signals and draft KPIs.

  • Published one of our initial internal docs to start capturing real-time AI performance data.

  • Next up: iterating on these metrics with live usage feedback to drive smarter product decisions.

Forum

  • Cleaned up our Discourse forum navigation for a more intuitive, branded look.

  • Added new default forum functionality (tags, badges, quick-reply enhancements) so you can jump into discussions faster.

  • This refresh ensures our community hub keeps pace with Glare’s evolving ecosystem.

Related links

Envisioning the next generation of AI-enhanced user experiences

Focus

Rob Chappell

Rob Chappell envisions the next wave of AI-enhanced experiences and what they mean for designers. Useful when a design team is mapping its AI roadmap for the next year.

aiuxroadmapdesign strategynext-gen

I’m Sorry, But Those Are Vanity Metrics

UX metrics

lloyd tabb

Lloyd Tabb of Looker explains why download counts and other surface numbers fool teams, and offers clarity metrics that predict real growth. Useful when a team needs to swap pretty dashboards for signals that drive real decisions.

measurementengagementvanity metricsproduct analyticsclarity metrics

AI for product managers: A high-level guide

Focus

Maria Ciampa

High-level guide covering why to add AI, what functionality to build, build-versus-buy choices, data management, and model robustness. Useful when a PM is new to AI work and needs a single map of the major decisions ahead.

product managementaidatabuild vs buymodel strategy
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