Every Job Bills Rounded Up to a Whole Minute

I've been running more of my own work through AI coding agents lately -- Claude, GitHub Copilot, and Google's Antigravity, each doing a different job in the same afternoon. It's the kind of setup I'd recommend to any business owner sizing up whether "add some automation" makes sense. Mostly, it does but recently I discovered the sticker price on a tool is never the whole story.

Somewhere in the fine print of CI/CD billing (the automated-check systems that run every time code changes) is a detail almost nobody reads: per GitHub's own Actions billing documentation, every job bills rounded up to a whole minute. Not per hour, not per second but per job -- rounded up! Run six checks that each take fifteen seconds, and you don't get billed for ninety seconds of work. You get billed for six full minutes.

Then there are the multipliers, which is where it gets genuinely expensive if you're not paying attention. Per GitHub's Actions runner pricing reference: Linux runs at the standard rate, Windows costs double, and macOS costs ten times as much per minute. A wide test matrix that looks cheap on paper -- "let's just check it on every OS" -- can cost far more than actual time would ever suggest.

The two multipliers aren't the same kind of markup, either, and knowing why explains a lot about how cloud pricing works in general. Windows costs double because Microsoft charges GitHub a licensing fee on top of otherwise-ordinary server hardware -- it's a pass-through cost, nothing more. macOS costs ten times as much for a completely different reason: Apple's own software license only allows macOS to run on genuine Apple hardware, full stop. There's no cheap way to pack dozens of virtual macOS machines onto one commodity server the way Linux and Windows can share one -- GitHub has to lease and maintain real Mac hardware for every runner. The 10x isn't GitHub being greedy. It's what real Apple hardware actually costs at scale.

Why this is a business lesson, not a dev lesson

I didn't write this because it's a quirky billing detail. I wrote it because it's the kind of mistake that can happen anywhere when you're comparing tools on their sticker prices instead of on how the meter actually runs. AI subscriptions, cloud hosting, ad platforms -- they all have a version of "rounds up, and multiplies more than you'd guess." The fix isn't avoiding automation. It's reading the meter and testing before you scale anything up.

That's the whole pitch behind what I do now: let my Claude help your Claude. Not because AI is magic -- because the people who've already been burned by the fine print can save you from being burned by it too. Like me more than a few times!

If you're weighing whether AI-assisted systems actually make sense for your business, keep in mind a competitor is also considering it. I've been amazed at how fast business development, planning and execution have excelled in so many different facets of business.

Small businesses have the most to gain.