Every
Edited articles and introduced stories about AI workflows and company pivots at Every.
How this journalist typically writes
Based on 34 scored articles
Kate Lee as author
Every publishing editorial guidelines on how AI is integrated into content production workflows, positioning itself as an AI-native publication model for other media organizations.
“Author of "This Is How the Every Editorial Team Uses AI" in Every”
Directly quoted in these articles
AI agents in 2026 will succeed by leveraging precise customer context rather than raw LLM capability, enabling personalized experiences at scale similar to luxury retail clienteling.
“Editor/introducer of the article providing framing context about the TL;DR and main argument”
OpenAI's new Codex desktop app, designed as a command center for agents, narrows the gap with Anthropic's Claude Code and is compelling enough to shift user behavior from terminal-based usage to a GUI-based interface.
“Introduced the Vibe Check analysis and noted the article is for paid subscribers.”
Every Consulting is launching specialized AI playbooks for tech and finance companies to transition from AI-curious to AI-native, based on methodologies developed through work with 100+ companies and frameworks like compound engineering and agent-native architecture.
“Editor introducing the consulting practice announcement and Natalia Quintero's insights”
Management techniques for AI agents and humans are converging, with prompting and clear direction being key skills that belong in business schools rather than solely in computer science labs.
“Editor introducing Mike Taylor's column about managing AIs like humans”
AI product adoption is driven by sociological trust dynamics and community influence, not product capability alone—as demonstrated by ChatGPT's explosive growth versus GPT 3.5's failed enterprise sales.
“Editor/curator who introduces the article and frames its main thesis about trust and competitive advantage.”
AI founders are repeating mistakes by building specialist AI tools like SaaS products; sustainable ventures must either build infrastructure for model improvement or create entirely new AI-enabled workflows, following Richard Sutton's 'bitter lesson' that scale and compute beat specialization.
“Editor who introduces and contextualizes Sumeet Singh's investment thesis on post-software era AI strategy.”
Sparkle, an AI file organizer for Mac, launches an early beta with natural language search, quick math conversions, and system automation features, rebuilt from scratch by its current general manager who inherited the broken original codebase.
“Editor or executive who introduced the article about Sparkle's evolution.”
Among 12 leading AI models tested on human behavior mimicry, cheaper models like those costing $0.008 per 100 responses outperform expensive alternatives at 23x the price in sounding authentically human for audience simulation.
“Editor's note introducing the article and its methodology”
Whether AI can write creatively depends fundamentally on how humans define and judge creativity, not on objective AI capabilities.
“Editor's note providing context on the article's origins and Margaret Boden's recent passing”
Referenced in coverage
Thinking about AI product development through board game mechanics—specifically worker placement, area control, and victory conditions—helps overcome creative blocks when building with large language models.
“Writes introductions and context for Every's AI-focused content and workshops.”
As AI models commoditize, competitive advantage shifts from model quality to owning the essential infrastructure layer that AI agents cannot route around—data access, workflow execution, and regulatory compliance systems.
“Writes introductions for Every articles covering AI-related topics.”
Kate Lee joins Every as editor-in-chief to elevate the publication's business and technology writing through new editorial initiatives and writer recruitment.
“Joined Every as editor-in-chief and general manager, previously publisher of Stripe Press and head of content at Medium.”
AI startups face a fundamental economics problem where per-use LLM costs destroy traditional SaaS margins, requiring new pricing models to avoid the MoviePass trap of serving high-volume customers at a loss.
“She introduced Anh-Tho Chuong's piece on AI pricing challenges.”
AI-powered tools can reduce quarterly and annual planning cycles from weeks to hours by automating data compilation, analysis, and document integration while preserving team focus on strategic alignment.
“Editorial contributor introducing articles about AI's impact on creative and planning work.”
Anthropic's Opus 4.5 represents a world-changing shift in AI-powered coding, enabling developers to build complete applications without hitting error walls that plagued previous models.
“Promoted Codex Camp workshop for OpenAI's coding agent.”
Using AI after independent thinking (brain → AI) maintains cognitive engagement and memory retention at levels comparable to no AI use, while starting with AI first leads to sustained mental passivity.
“Editor introducing articles about AI and cognitive engagement with AI tools.”
AI coding tools like Cursor and Claude Code are eliminating traditional software engineering work, forcing developers to redefine their professional identity and choose between coasting with AI assistance or using freed-up time to develop new skills.
“Mentioned in the context of Every's newsletter introduction discussing Google's Gemini 3 Pro release.”
When Slack cut off data access, Hoop transformed from an AI-enhanced product into an AI-native company, fundamentally changing how the team works and operates at a different scale.
“Edited articles and introduced stories about AI workflows and company pivots at Every.”
Willem Van Lancker launches Untitled, an AI tool that helps founders name their products through a systematic six-step process (Orient, Explore, Distill, Validate, Commit, Execute) that can be completed in an afternoon.
“Introduced Willem Van Lancker's essay on product naming at Every.”
DSPy is an automated prompt-optimization framework that has made traditional manual prompt engineering largely obsolete, with the author stopping manual prompt writing in favor of DSPy-optimized prompts.
“Introduced the DSPy technical tutorial piece for Every's publication.”