I kept treating my two biggest problems as separate:
- "Why is my AI bill so high?"
- "Why am I still not shipping enough?"
Turns out they were the same bug.
On days when my attention was scattered, my AI costs were always higher. I'd context-switch, lose track, rerun prompts, and burn tokens on sloppy retries.
What changed
I started tracking one combined budget every session:
- Token spend for the session
- Context switches caused by feed distractions
If either number spiked, I stopped and reset.
My 4-rule nightly workflow
3-line brief before every heavy run
Forces clarity and cuts reruns.90-minute no-feed block
Keep messaging/search tools, block algorithmic feeds.Hard session spend cap
If I cross it, I switch to offline planning.10-minute shutdown log
Note what burned cost and what actually shipped.
The tools I built for this
I built two tiny Mac apps to make this frictionless:
-
TokenBar — real-time token/cost visibility in the menu bar (
tokenbar.site, $5) -
Monk Mode — feed-level distraction blocking on Mac (
mac.monk-mode.lifestyle, $15)
Not magic. Just removing blind spots.
Biggest takeaway
Most solo devs don't have a model pricing problem.
They have a workflow leak problem:
- unclear briefs
- too many retries
- too much feed-driven context switching
Fix that and both focus + spend improve at the same time.
If you're building with AI every day, track those two numbers for a week. You'll see the pattern fast.
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