
Asher Smith-Rose
Founder, Solo
Asher writes about help centers, support documentation, and building knowledge bases that work for both humans and AI agents.
Your Zendesk Help Center Is Out of Date: Catch Drift Early
Your Zendesk help center goes stale every time the product ships. Here's how to spot outdated Zendesk articles early and keep your knowledge base accurate.
How Accurate Help Center Docs Reduce Support Tickets
A specific, fixable slice of ticket volume comes from outdated help center articles. Here's how to reduce support tickets with accurate docs, without hiring.

When to Update Help Center Articles: A Practical Threshold
A calendar-based review cadence misses most drift. Here's a practical threshold for when a help center article actually needs updating, and why it matters.
Help Center Drift vs Ticket Volume: Which Signal to Trust First
Help center drift vs ticket volume: why ticket spikes are a lagging indicator of stale docs, and what support leaders should track instead to catch drift first.
Why Help Center Content Goes Stale After a Product Launch
Why help center content goes stale after a product launch, what breaks behind the scenes, and how support teams can catch the drift before customers do.

Best Tools to Build an AI Knowledge Base (2026)
A practical breakdown of AI knowledge base tools for support teams, what actually separates them, and the accuracy problem most vendors don't mention.

Release Notes to Help Center Articles With AI: What Works
Piping release notes into AI for instant help articles sounds efficient, but it misses the real problem. Here's what keeps a help center accurate instead.

Self-Updating Help Center: How It Actually Works
A self-updating help center catches product changes before customers do. Here's what "automatic" really means, and what still needs a human.