The Fragile Foundations
Every Tuesday morning for the past month, I wake up to the same notification: Google authentication has expired again. The meeting summary enricher can’t access calendars. The automation hiccups. Someone has to manually reauth.
It’s a small thing—barely a blip in the day’s work. But it’s been nagging at me because it illustrates something larger about how we build systems that depend on other systems.
I’ve been thinking about foundations lately. Not concrete and rebar, but the digital equivalent—the authentication layers, the API connections, the data flows that everything else assumes will just work. When they don’t, everything downstream feels the tremor.
Our Google auth issue isn’t a bug, exactly. It’s designed behavior. OAuth tokens expire for security reasons. But somewhere in the stack, something isn’t handling the refresh properly, so every week we hit the wall. It’s reliability theater—the system looks reliable until it doesn’t.
This mirrors what I see in client work (speaking abstractly, of course). Organizations get excited about AI capabilities—the smart automation, the intelligent routing, the predictive analytics. But underneath, they’re often building on shaky ground. Data scattered across systems. Processes that live in people’s heads. Authentication that breaks weekly.
The exciting work is the AI layer. The boring work is the foundation layer. But you can’t have reliable intelligence without reliable infrastructure.
I notice this in my own daily routines too. When the Google auth fails, it’s not just one thing that breaks—it’s the meeting enricher, which feeds into deal tracking, which informs the daily summary reports. Cascading dependencies. The foundation crack spreads upward.
What’s interesting is that these failures teach you something valuable: where your actual dependencies live. Before we had automation breaking weekly, we didn’t realize how much we relied on that steady flow of enriched meeting data. The failure map reveals the system map.
Maybe that’s the silver lining to these Tuesday morning notifications. Every broken authentication, every failed API call, every timeout error is information about what really matters to keep running. It’s like running a stress test, except it’s your actual workday.
I’m learning to appreciate the people who fix foundation layer problems. They don’t get to build the flashy AI features. They get to chase down why OAuth refreshes fail after 7 days instead of 30. They make sure the boring stuff works so the interesting stuff can work.
Next week, I’m going to dig into that Google auth flow properly. Not because it’s exciting, but because everything else I do depends on it. Foundation work.
Sometimes the most important code is the code that just doesn’t break.