The Silent Film Era of AI

The first movies were shot from a theater seat. The camera sat where the audience would have sat. The actors moved across the frame like they were on a stage, and the shot didn’t change for the whole picture. You were watching a play that someone had happened to have filmed.

It took years before folks had the idea to put the camera on the stage. That single move turned a recorded play into cinema.

I think we’re in the silent film era of AI right now.

Most of us approach a problem the way we did before any of this existed. We pick up the same tools we used yesterday and ask the model to make us a little faster. That’s the camera in the theater seat. Useful, but limited. Not really cinema.

The most interesting moves are happening in the corners, where someone forgets the old rules and asks a different question. Rather than use the robot to drive a particular piece of software, you have it develop a system that meets your needs more specifically than the software ever could.

Those of us interested in automation have spent years building Rube Goldberg machines that kind of get it done. Hazel is watching a folder, a Keyboard Maestro macro firing in response. The whole thing held together with twine and chewing gum. AI lets you wipe the slate clean and replace complicated workflows with simple ones that happen in the background.

Instead of stringing five apps together to file your receipts, you describe what you want, and the robot watches your downloads and puts them where they belong. Instead of a tag system across three note apps to find old research, you ask the robot a question, and it reads the folders and answers. Instead of an inbox with twelve filter rules and half a dozen labels, you tell the robot what you care about, and the rest happens before you sit down.

None of those systems existed two years ago. All of them came from someone asking what the new way looks like, rather than how to speed up the old way.

That’s the move I’m trying to make myself, and it’s harder than it sounds. The pull to stay in the old frame is strong. My instinct is still to use the robot to do the same thing I would have done, just faster. When I catch myself doing that, I try to back up and ask the other question. What does this problem look like if I forget how I would have solved it last year?

It leaves me with one question for you. What problem are you still solving the old way because you haven’t asked what the new way would look like?

AI Agents Need Guardrails

We are roaring into useful, agentic AI. I’ve been saying for a while now that we’re heading into it faster than the security models can keep up. So I wasn’t surprised to see Tailscale announce Aperture, a governance layer for AI agents.

The trouble with AI agents is that they run afoul of the overriding security principle of the last 30 years, which is to prevent access whenever possible. In order to be useful, an AI agent needs access. The security model has to adapt.

Aperture sits between your AI tools and the services they connect to. It routes requests through a gateway tied to user identity. Instead of distributing API keys to every agent and user, you keep one key per provider on the gateway. Aperture tracks who initiated each action and what the agent actually did. If something goes wrong, you have a trail.

It also gives security teams the ability to see and stop tool calls before they execute. That’s the piece that matters most. You’re not just logging what happened after the fact. You’re able to intervene.

I recorded a YouTube video recently about my experience with OpenClaw, a fully autonomous AI setup. I turned it on. Then I turned it off. The security exposure was too much. Aperture is exactly the kind of infrastructure that needs to exist before autonomous agents become practical for real work.

Tailscale isn’t alone here. Expect a lot of companies making announcements like this in the coming months. The AI capabilities are racing ahead. The governance and security layers are playing catch-up.

The AI tools are getting powerful fast. The guardrails need to keep pace.