@kplikethebird: TL;DR: Every is looking for our next AI-pilled writer, and we've got presents for that person! When I first started doi…

X AI KOLs Following News

Summary

Every is hiring an AI-focused writer to manage their daily AI briefing, Context Window, using AI skills like Why Now, Librarian, and Crystal Ball for editorial tasks.

TL;DR: Every is looking for our next AI-pilled writer, and we've got presents for that person! When I first started doing AI editorial at @every, @danshipper gave me a simple assignment: “Build your own Iron Man suit for writing." Reader, I have. The latest addition to my writing Jarvis is a three-skill team I built specifically for Context Window, Every’s daily briefing on what changed in AI and what we think it means: Why Now goes first. It checks the news peg: What changed? Compared with what? Is this new enough—and useful enough—that our audience of readers at the edge of AI needs to know? Then, Librarian rummages through Every’s archive for the old reporting, arguments, and predictions that might sharpen it. Or make the whole thing collapse. Either way, we want to know what we've said. Finally, Crystal Ball puts the two together and asks the fun question: Given what happened today and what we already know, what might happen next? Now we’re hiring the writer who gets to inherit this little team and use it to produce the highest-quality educational content in tech. If writing Context Window with an Iron Man suit sounds awesome—and you want to learn how to build new pieces of the suit yourself—Every is the place to be. Apply here:
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Cached at: 09/14/26, 01:27 PM

TL;DR: Every is looking for our next AI-pilled writer, and we’ve got presents for that person!

When I first started doing AI editorial at @every, @danshipper gave me a simple assignment: “Build your own Iron Man suit for writing.“

Reader, I have.

The latest addition to my writing Jarvis is a three-skill team I built specifically for Context Window, Every’s daily briefing on what changed in AI and what we think it means:

Why Now goes first. It checks the news peg: What changed? Compared with what? Is this new enough—and useful enough—that our audience of readers at the edge of AI needs to know?

Then, Librarian rummages through Every’s archive for the old reporting, arguments, and predictions that might sharpen it. Or make the whole thing collapse. Either way, we want to know what we’ve said.

Finally, Crystal Ball puts the two together and asks the fun question: Given what happened today and what we already know, what might happen next?

Now we’re hiring the writer who gets to inherit this little team and use it to produce the highest-quality educational content in tech.

If writing Context Window with an Iron Man suit sounds awesome—and you want to learn how to build new pieces of the suit yourself—Every is the place to be.

Apply here:

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