I burned too many tokens today. Here’s what I learned.
Day 1.5
Yesterday was Day 1 of building out a real multi-agent setup. Not a proof of concept. Not a tutorial. An actual system, running on my machines, doing real work.
Day 1 went well. Suspiciously well.
Day 1.5 is when the bill comes.
Not the financial bill, though that’s part of it. The real bill is time. Configuration. Optimization. The boring, necessary work of making a system actually behave the way you want it to. Every tool needs tuning. Every agent needs guardrails. Every workflow that looks automatic has fifteen manual steps hiding behind it that you only find after you’ve already committed.
Nobody skips Day 1.5. They just don’t write about it.
Token Burn Is a Cost Signal
When you’re burning faster than expected, something is misconfigured. Not just expensive. Misconfigured.
It’s telling you something is doing too much work when a lighter approach would handle it fine. In our case the culprits were obvious in hindsight. We were loading full screenshots to extract information when a simple text snapshot had everything we needed for a fraction of the cost. We were processing the same context multiple times when we could have been surgical about it. Small inefficiencies compounding fast.
Once we saw them, the fixes were simple.
Token burn is the AI equivalent of server response time. When it spikes, you investigate. You don’t just accept it as the cost of doing business.
Read the signal.
The Setup Work IS the Work
Let me describe my morning.
Browser extension configuration. Knowledge base restructuring. Writing documentation for processes that don’t exist yet. Thinking through how two different systems should communicate so they’re not stepping on each other.
None of that is flashy. All of it is necessary.
Here’s the thing about skipping the architecture phase because you’re excited to build: the bugs show up later. They’re always worse than the ones you would have caught with five minutes of planning. I’ve been a developer for over 20 years. Watched it happen more times than I can count. It applies here too.
If you’re building anything real with AI and not spending serious time on configuration, I’d be skeptical of what you’re actually building.
The Pace Is Relentless and That’s Fine
The world changes daily. A tool ships a major integration. A model updates and behaves differently. A workflow you spent two hours perfecting becomes obsolete because the platform changed something quietly on their end.
This is genuinely challenging when you’re also working a full-time job.
I do a plumbing apprenticeship on Monday and Wednesday evenings. I have three kids. I had a stroke at 37 and built my career back from scratch. Keeping up with AI is not my only obligation. It’s not even close to my only obligation.
But here’s what I’ve figured out: you don’t have to keep up with everything. You have to keep up with the things that matter to your specific work. The goal isn’t perfect information. It’s directional accuracy.
The pace is relentless. That’s also what makes this the most interesting time to be building anything. I’m having more fun right now than I have in years. That matters more than people admit.
If You’re Not Having Fun, Something Is Wrong
We are living through one of the most interesting technical moments in history. The tools available to a single developer today would have been science fiction five years ago. The leverage is real.
If you’re grinding through this and it feels like a chore, you’re either in the wrong problem space or you’ve let someone else’s idea of what you should be building override your own instincts.
Build things you’re curious about. Solve problems that actually bother you. Stop chasing the hottest demo on X and figure out what actually helps you do your work.
Fun isn’t a reward you get after the serious work. It’s a signal you’re pointed in the right direction.
Vibe Coding vs Building with Agency
There’s a version of using AI for code that goes like this: describe what you want, watch it generate something, squint at it for a few seconds, ship it, move on. You couldn’t explain what it built if someone asked. But it works. Probably. You think.
This is vibe coding. If you’re learning or experimenting, I get it. Done this myself. Not judging.
But there’s another version: building with agency.
Building with agency means you use AI as leverage, not as a replacement for your own judgment. You understand what you’re asking for. You can review what came back and know if it’s right. You architect before you build. You notice when something looks off.
The difference isn’t skill level. It’s self-awareness.
The builder who knows what they don’t know is infinitely more useful than the one who ships whatever the model generated and calls it done. One of them is building something. The other is just running autocomplete at scale.
Know Your Weak Spots
I’m a front-end developer. WordPress, UX, digital strategy. Strong there.
I’m also honest about where I’m not. There are architectural decisions I make by feel. Infrastructure choices where I know enough to be dangerous. I compensate by slowing down in those areas, documenting my decisions, and being explicit about what I’m uncertain about.
That’s not a weakness. That’s the practice.
Know what you know. Know what you don’t. Be curious about the gap.
Day 1.5 is where you find out which kind of builder you are.
I burned some tokens today. I learned something from it. Tomorrow I’ll build a little smarter.
That’s it.
