Every Inc.

Cora is a time machine. 100% of people who onboard look at 100% of their briefs. It's been such a pleasure to take a totally different approach to email.

Last month we launched the waitlist for cora.computer: a reimagined email experience for the AI era. Instead of inbox zero, Cora aims to get you to inbox human—filtering out the most important conversations for you to respond to. Watch Brandon Gell walk through the features below. We’re onboarding people every day—sign up to let Cora deliver you from email: cora.computer

We often talk about optimizing for knowledge work, but rarely do we bring that motivation into our personal lives. Evan Armstrong is back from paternity leave with the goal to get more done with less effort—by automating his way through wellness and leisure. Read on for the tools Evan uses to help him eat healthier, increase his concentration, and optimize other aspects of his life: https://bit.ly/40916O6

It’s easy to get wrapped up in new tech, but chasing shiny possibilities can get in the way of solving the right problems. The best solutions bridge the gap between: - What people say they want - What they actually want - What people truly need That’s true no matter the industry. Cassius Kiani has learned this lesson across healthcare, DAOs, and legal tech. Now, he’s applying these learnings to Freeform—dynamic forms that adapt with your answers—to better connect people and systems. Read more on picking the right problems in the possibility haystack: https://bit.ly/4a8LCOA

AI agents today are like personal assistants—but soon they could be your teammates. And unlike human colleagues, they don’t need sleep. AI-hybrid workplaces have their challenges: - Unrealistic performance standards for human employees - Data-driven management lacks empathetic nuance - Automated biases drive faulty decision-making And who is accountable for a rogue AI teammate? Katie Parrott explores the office politics of designing collaborative workplaces that cater to both. Read this to learn how to navigate your AI coworkers: https://bit.ly/4iYMfye

The future of marketing isn’t qualitative. It’s quantitative. In the past, growth hackers relied on gut instincts. But intuition is bottlenecked by data—AI-driven product testing is not.  Just like quant trading revolutionized banking in the 1980s, quant experimentation scales pattern matching for marketers today. Coframe founder Josh Payne details how AI brings Wall Street into A/B testing with three strategies: - Ask an LLM - Self-improving headlines - Personalization at scale Read this to learn how the right data can help you solve the market: https://bit.ly/4gInWTA

Here’s what landed in your inbox today (if you’re an Every subscriber): - Every, Wrapped: Dan Shipper breaks down the stats in our 2024 year in review - Don’t work hard—work different: Cate Hall explains how to build unstoppable agency - Introducing Cora: Our latest Every Studio launch is an email assistant that clears your inbox chaos - What AI can learn from the cake mix industry: Rhea Purohit navigates the creative guilt trip of taking things off your plate - Keeping humans in the research loop: Alice Albrecht and Dan Shipper jam on the AGI-empowered scientific revolution Plus: a deep dive into OpenAI's 12 days of Shipmas Read more: https://lnkd.in/eRpyNsNx

What do cake mixes and AI tools have in common? When instant cake mixes first hit shelves in 1950, housewives felt guilty about "cheating" by just adding water. Today, AI tools make creativity feel too easy—and less effort feels like less meaning behind your work. The solution isn't doing less—it's using AI to redirect effort to higher-value creation. Read @Rhea Purohit's latest Learning Curve piece: https://bit.ly/41JscxF

Cate Hall has been: a Supreme Court advocate, the top female poker player in the world, and the co-owner of a perfumery brand. Her secret weapon? Starting before she’s ready. 5 ways to build agency: - Ask for unreasonable things - Embrace anonymous feedback - Meet people without agenda - View all skills as learnable - Enjoy being bad at new things And remember: If you're getting every "yes," you're not aiming high enough. Read this piece for your how-to guide. https://bit.ly/3Dqkdvq

AI is changing how we do science. The old way: Explaining why things happen The new way: Predicting what's next Watch Alice Albrecht, senior director of AI product at SmartNews, and Dan Shipper discuss how: - AI supercharges information processing - Raw data gets separated from interpretation - Public research scales scientific progress The future of scientific papers? They might be open datasets that accelerate discovery. AGI isn't about replacing scientists—it's about supercharging them with better tools. https://bit.ly/3ZWodfU