The news hook: on September 10, OpenAI put its Agents API into public beta — the Codex harness as a service. One API call spins up a production agent, OpenAI running the loop. That’s what got me thinking about 1990s car stereos.
In the 90s, you didn’t just buy a Kenwood deck and drop it in. CD players were thicker than the cassette decks they replaced, so you needed a dash kit, a wiring harness, and somebody who knew how to make it all fit your specific car without setting the electrical system on fire. The deck was the exciting part. The harness was the part that determined whether it worked.
AI is having its car-stereo decade right now, and the stack rhymes perfectly:
- The decks are the models. They all play the discs now. Commoditized.
- The harnesses are the agent frameworks — the loop that manages context, tools, subagents, sandpapers the rough edges between model releases. This is where the fight moved. OpenAI just productized theirs.
- The connector kits are the universal adapters. In the 90s, one company owned this layer: Metra Electronics. Their entire brand was “the Installer’s Choice” — because we are installers — and they won by abstracting every car’s weird factory wiring so any shop could install any deck. Seventy years of winning by serving the installer, not the driver.
- The installers are who actually gets paid. The shop on the corner with the soldering iron.
Platforms are won by installer armies
This is the oldest play in enterprise tech. Microsoft didn’t win on Windows alone — it won on the MCSE army, thousands of certified installers who made Windows the safe recommendation. Cisco did the same with its certification ladder. The vendor that recruits the most installers wins, because the installer chooses the harness for the customer, and the customer just wants music.
Watch what’s happening now through that lens and everything snaps into focus. The Grokbot events. The ambassador programs. Everybody is recruiting installers — grassroots adoption, a visible market, and a career pivot for the people who learn the wiring first. The vendors aren’t selling to end users. They’re selling to the shops.
The wiring diagram decides before the features do
Here’s the detail that matters more than any launch demo. The managed harnesses come with constraints: where your data lives, who retains it, what residency you get. One prominent new offering is US-only with no zero-data-retention option — which rules it out for client-data workflows before you ever evaluate the features.
Same lesson as the 90s: the harness that doesn’t fit your car is worthless no matter how good the deck is. The wiring diagram — data residency, retention, tenant boundaries — decides the purchase before the spec sheet does. Contractors figured this out fast: they won’t upload their estimates to a startup they found on social media, but they’ll run the same analysis inside their own Microsoft tenant. The tenant boundary might be the whole moat.
The operator’s math
So here’s the build-vs-buy for the AI age, and it’s the same math as the estimate-auditing tools: the intelligence is commoditized, so you’re never paying for smarts. You’re paying for the pipe and the paperwork — or in this case, the harness and the install.
If a managed harness fits your wiring diagram and costs less than the engineering hours to maintain your own loop, buy it. If your data can’t leave your tenant, or the harness’s constraints disqualify it, build the loop yourself — the models are all CD players, and a good installer can wire any of them into the dash.
Either way, notice where the money actually pools. Not with the deck makers. Not even with the harness makers. With the installers — the people who show up, learn the specific car, and make the music play.
That’s the game. Don’t build the deck. Own the dashboard.
The public tools behind that storefront are listed on Open Source Installer Tools.

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