You’re reading The Steady Beat, a weekly pulse of must-reads for anyone orchestrating teams, people, and agents across the modern digital workplace – whether you’re managing sprints, driving roadmaps, leading departments, or just making sure the right work gets done. Curated by the team at Steady.
More People, Not Fewer
It seems that every layoff press release blames AI. Collaboration giant Box ran the experiment in the other direction. CEO Aaron Levie’s company invented 13 new kinds of jobs because of AI – AI architect, AI solutions manager, forward-deployed engineers, people whose whole job is evaluating which model is best for which task – and expects to grow past 3,000 employees, not shrink. Because a single engineer can now manage agents and ship what used to take a team, Levie says every additional engineer is worth more, so hiring more of them makes more sense, not less. AI even made marketing to niche industries cheap enough to finally staff. For Box, the productivity didn’t subtract people; it justified them. We’ve seen this story before – when computers landed in offices in the '80s, they didn’t empty the building, they created the entire IT department, the CIO, whole new degrees. None of this erases the cuts we’re seeing, but it punctures the lazy assumption that AI’s only labor story is subtraction.
— The New York Times, 7m, #ai, #leadership, #transformation
The Round Trip
For a decade, moving from engineering manager back to individual contributor felt like a demotion you had to explain. Gregor Ojstersek argues that’s over. Companies are thinning out middle management – Amazon set out to raise its manager-to-IC ratio by 15%, and the rest of the industry followed – while pushing tech-lead expectations down onto every engineer. That collision makes ex-managers unusually valuable as senior ICs. The skills that used to live in the management track – delegation, breaking work into tasks, giving feedback, the patience to let someone else do the work – are exactly what directing a swarm of coding agents demands. A Staff or Principal role now looks less like writing code all day and more like running a small team of machines that need scoping, review, and correction. The manager who never stopped being hands-on has a real edge.
— Engineering Leadership, 5m, #leadership, #engineering, #career
The Scarce Part
There’s a fear that as you pour your company’s knowledge into AI – workflows, playbooks, institutional memory, what Remotify calls “token capital” – you make the humans who held that knowledge disposable. This piece argues the reverse. Once intelligence itself is cheap and on tap, the scarce thing becomes knowing what to do with it: setting the goal, defining what good looks like, deciding which of the model’s ten plausible options is actually right. Machines generate options, but they don’t decide which one matters, and they can’t tell you whether the work was worth doing. “AI can help organizations scale knowledge,” the author writes. “But it is people who create meaning from it.” The trap is treating this as a binary choice – bet on the systems or bet on the people. The organizations that win build both: encode everything you can, then put your sharpest humans on top of it to steer. Commoditized intelligence doesn’t lower the value of judgment, itt raises it, because now everyone has the same raw horsepower.
— Remotify, 4m, #ai, #leadership, #strategy
Tasteslop
Notice how many AI product websites suddenly look like law firms? Perplexity, Claude, and a parade of startups have all reached for serif fonts – the typography of old books, universities, and trust – to soften their bleeding-edge machines into something warm and human. Wired’s name for the result: “tasteslop.” Serifs read as wise and trustworthy precisely because they’re old, so dressing the newest technology on earth in them is, as the piece puts it, a child in a three-piece suit. The deeper irony: the machines reaching for these letterforms can’t grasp the craft, history, or local nuance behind them. They’re just imitating the look of judgment. AI is extraordinary at producing the surface of good taste – the serif, the clean layout, the confident copy – but indifferent to whether any of it is actually in good taste.
— Wired, 5m, #ai, #design, #taste
Fun Vibes
Sean Goedecke has shipped a daily SkiFree clone, an Anki deck generator, an infinite AI-generated wiki that hit 280,000 pages, and an offline plant-identification app – none of which would exist without AI. His point isn’t that AI writes the code; that was never the whole job. It’s that AI drops the cost of building just enough to flip the math on projects that were never quite worth it. Every developer has a graveyard of half-built repos, the weekend idea that stalled at the boring part: the API integration, the data parsing, the deployment nobody wants to do. AI absorbs those middle bottlenecks, and suddenly the marginal project clears the bar. “Useful to at least some people” naw becomes a high enough standard to ship. The implication for teams? The niche internal tool nobody could justify, the one-off that would’ve taken two weeks, the weird little utility that helps four people – a lot of those just moved from “someday” to “this afternoon.”
Editor’s note: in the spirit of this tipping point, here’s a playground of apps we’ve vibed with Steady’s API.
— Sean Goedecke, 6m, #ai, #engineering, #productivity
Echo of the week: where you’re the bottleneck
Echoes are AI agents in Steady that automatically gather and deliver work context to teams on a schedule—answering recurring questions about progress, capacity, and coordination so you stop burning hours assembling the same information manually.
Where You’re the Bottleneck. Work waiting on you rarely announces itself – people are reluctant to nudge the boss, so the decision, review, or approval just sits there quietly throttling everyone downstream. This Echo reads your team’s recent check-ins, blockers, and goal updates to find exactly what’s stuck behind you, then tags each item with a move: decide it now, delegate it to someone better placed, or schedule it deliberately so it stops floating. Runs every Monday morning, right when you can still clear the queue before it costs you the week.
The lightweight teamwork OS
Teams rely on two coordination loops to function: a big-picture loop connecting plans to progress, and a ground-level loop keeping teammates in sync.
Running those loops was already a marathon of meetings, chat threads, dashboards, and manual toil. Pile on flatter orgs, exponential output, and AI agents shipping 24/7 – the old way can’t keep up.
Steady is the lightweight teamwork OS that runs both loops for you. Working in the background, it distills updates and activity into personalized intelligence for everyone on the team – human and agent alike. Full visibility, tight alignment, zero overhead.
The outcome: high-performing teams that deliver the right work, 3X faster.
Learn more at runsteady.com.