Agents Are Starting to Feel Inevitable
Lately I’ve been thinking a lot about AI agents—not just as “cool demos” but as the next layer of infrastructure for how we work online.
It clicked for me when I came across Spiral, an agent Every.to built for themselves. It hangs out in their Discord, watches the conversations, and surfaces tweet ideas to the team. Nothing fancy. But it hits this “magic minimum”: it earns its keep by being just useful enough that you don’t want to turn it off. That’s when I realized—agents don’t need to be flashy. They just need to show up in the right place at the right time.
From Tools to Teammates
We’ve always treated software as passive. You open the app, you do the thing, you close it. Agents flip that dynamic. They’re proactive. They plan, act, and report back—sometimes even before you knew you wanted help.
Think about Microsoft’s Copilot Agents and the Model Context Protocol. It’s basically giving agents a shared language to talk to each other. Browsers did this for humans and servers; MCP might do it for agents. Suddenly, it’s not just one agent helping you, it’s a network of them coordinating across your apps.
That’s not a small shift—it’s infrastructure-level.
Designing for Agentic Attention
Something else I can’t stop thinking about: who are we really designing for anymore?
When humans are the audience, you optimize for emotion, story, vibe. But when agents are the ones evaluating your content—surfacing it, recommending it, rewriting it—different rules apply. Clarity matters more than cleverness. Structured data wins over messy layouts.
Every.to called this “agentic attention.” It’s a useful lens: imagine writing not just for people, but also for the layer of AI middle-managers deciding what content deserves to be seen.
The Productivity Multiplier
On the more practical side, agents are already changing the speed of work. I’ve seen teams describe AI pull-request bots as “like having five interns.” The Every.to crew said their two engineers felt like fifteen once they wired agents into their workflow.
This is the part that excites me most: not replacing humans, but amplifying them. Agents don’t complain about grunt work. They just keep chipping away, so you can keep your brain focused on higher-leverage problems.
Where It Lands
I don’t think we’ll wake up one day and find agents running everything. It’s more subtle than that. They’ll creep in the way Slack did. Or Figma. Or Gmail filters. One by one, small agents that hit that “magic minimum” will stick.
And then one day we’ll look up and realize—our work already runs on agents.
