Editorial guidelines are often too vague for humans — and useless for AI. Extract patterns from your best content to create actionable standards for both.
UNDRR's AI assistant couldn't learn from vague guidelines like 'keep it concise.' I extracted patterns from high-quality examples to create measurable standards.
Daniel Vaughan built an agent that generates sketchnotes from YouTube videos — a visual triage step before committing to long-form content.
Ben Kuhn shares his playbook for managing complex projects at scale, from maintaining detailed plans to delegating management itself.
Five Copilots, one brand — and one table to explain what each does.
Analytics on page views and bounce rates won't tell you if your content has impact — here's how I measure what actually matters.
I added a sunlit ambience effect to this site using pure CSS and SVG — no JavaScript, just gradients and blend modes.
Boyd Kane explains why treating AI like debuggable code misses the fundamental difference in how these systems work.
The first community-driven policy I've seen that treats AI as a tool requiring human accountability, not a shortcut.
A home for evidence-led impact stories documenting measurable outcomes from my work on platforms, performance, and design systems.
UNDRR's flagship disaster risk report needed to communicate $2.3 trillion in annual losses — without burying the message in data or slowing access for users in disaster-prone regions.
Meeting creep, quick questions and context switching crush flow.
Use the native HTML output element to announce dynamic results — semantic, accessible, and simple.
Anthropic argues that “context engineering” — not prompt tricks — is how agents stay accurate at long horizons.
Fabrizio Ferri Benedetti highlights docs-driven development and the rise of technical writers as “context curators” so AI can truly RTFM.
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