13 words to turn a rumor into AI fact
Cornell researchers planted thirteen words on Reddit and changed what Deep Research and Gemini reported back.
AI
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CADI: a prescriptive path for slop-free AI in content work
A framework to collect, analyze, document, iterate (CADI, for short) is a prescriptive answer to the question everyone keeps asking: should I prompt better, write a style guide, build an agent, or what?
Why 'reviewed' should be a protected verb
A newsroom AI policy that closes the quote-attribution loophole and treats 'reviewed' as a protected verb.
Putting GA4 where the work happens: an in-browser analytics overlay and its MCP bridge
Content teams shouldn't have to leave the page to learn how it performs, and neither should AI agents.
Let AI worry about the code, you worry about the work
Cultivating LLM productivity requires comfort with the vernacular of code, not the writing of it.
How to write one skill for both Claude Code and GitHub Copilot CLI
Tips on where the shared approach doesn't share, and plugin.json gotchas that break Claude Code silently.
The right answer has to be woven
Domain-driven design, content architecture, and AI context engineering each solved the same shared-understanding problem; LLMs are finally dissolving the boundary that kept them apart.
Four gears of AI-assisted development: from coding to context
Developers are moving from copy-paste to orchestration. Each gear shifts what the human actually contributes.
Why context engineering was always the job
AI knows the world in general but not your domain; the engineers who get real results were always doing the context work.
The ladder was always context
Matteo Collina splits software engineering into three tiers (tech firms, enterprises, small businesses), and in each the bottleneck shifts from building code to holding context.
Comprehension debt, when AI-generated code outpaces human understanding
AI-generated code is outpacing human understanding, and teams need to self-govern before someone else does.
AI coding tools turned my once-a-year hobby project into a daily habit
Benj Edwards burned through 50 projects in two months with AI coding agents and I know the feeling.
Blog art that belongs
Every post needs a hero image. Sometimes you don't need the perfect one — you just need something that doesn't clash.
Semantic search on a static site, no API keys required
Vector embeddings at build time, cosine similarity in the browser. The same 23 MB model runs both sides.
Two-way communication beats another shipped feature
Sometimes stepping back to understand your audience matters more than shipping the next feature.
Improving AI chatbots with an editorial handbook from your best content
Editorial guidelines are often too vague for humans — and useless for AI. Extract patterns from your best content to create actionable standards for both.
Turning vague content guidelines into measurable AI-ready standards
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.
Digest videos into sketchnotes through AI
Daniel Vaughan built an agent that generates sketchnotes from YouTube videos — a visual triage step before committing to long-form content.
Making sense of Microsoft’s many AI Copilots
Five Copilots, one brand — and one table to explain what each does.
Why AI can't be debugged like traditional software
Boyd Kane explains why treating AI like debuggable code misses the fundamental difference in how these systems work.
Plenty to learn from Fedora's approach to AI code
The first community-driven policy I've seen that treats AI as a tool requiring human accountability, not a shortcut.
Context engineering beats prompt tricks for AI agents
Anthropic argues that “context engineering” — not prompt tricks — is how agents stay accurate at long horizons.
Developers are becoming context technical writers for AI
Fabrizio Ferri Benedetti highlights docs-driven development and the rise of technical writers as “context curators” so AI can truly RTFM.
The power of the pause: How planning beats prompt tuning
Traditional project planning techniques help ensure maximal benefits from AI tools.
Thoughtful AI integration beats bolted-on Clippy
Lullabot's thoughts on 'How to build your AI integration strategy right'.
Individualism is the flavor AI chatbots can't stomach
The AI experience has drained traffic from reference content, but leaves a path forward of human-centric experiences, interactivity, and better on-site value.
Sacrificing knowledge in the name of data
The goal is not more data, but data to facilitate the story of what we're trying to achieve.
