Building the system is half the work. The other half is keeping it alive.
Because needs shift, you get a new idea, an AI model comes out that does the same thing better and cheaper, a provider changes a policy. Every time, the system has to be brought back into line, and I do it myself, without you having to explain from scratch how it's put together.
A provider updates their interface, or you change how you keep your data and the system no longer finds it where it was looking. Meanwhile access keys and permissions expire quietly, with no visible error. None of the three announces itself: you find out from the customer who never got an answer.
These systems aren't a single file: they're flows, credentials, instructions and connections talking to each other. Someone who never worked on them doesn't even know where to start looking, because the same symptom can come from ten different points in the chain. So the first hiccup becomes days of downtime.
AI models change every month and almost always get cheaper for the same result. A system stuck on day-one settings keeps costing what it cost then, and nobody notices it could be done better for less.
The day after delivery the system is yours and runs on its own, and the first 30 days of support are already in the project price. When they end, you decide: leave it unattended, or keep it watched.
Write me a couple of lines about what you have in production today. I'll tell you which level makes sense, or whether you need one at all.
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