If you’re building with AI every day, you already know the trap:
- You start with “quick iteration”
- You open one social feed “for 2 minutes”
- You context-switch 40 times
- You rerun prompts because your brain is scattered
- You end the night with less shipped and a bigger AI bill
I hit this wall hard while building two Mac apps solo.
What I was doing wrong
For weeks, my workflow looked “productive” but wasn’t:
- Keep Claude/Codex/Cursor open all day
- Jump into feeds whenever a build runs
- Return with broken context
- Re-prompt from scratch
- Burn tokens fixing preventable mistakes
I wasn’t losing to model quality. I was losing to my own loop.
The 5 changes that fixed it
1) I started tracking token spend in real time
Seeing cost live changed my behavior instantly.
When I could watch spend climb while I kept “just trying one more prompt,” I got disciplined fast.
I built this into my menu bar app TokenBar (tokenbar.site) so I can’t ignore it.
2) I added a preflight before every AI run
Before hitting enter, I force myself to write:
- exact objective
- files in scope
- definition of done
- max retries
This reduced garbage prompts and expensive reruns.
3) I blocked feed-level distractions during build sprints
Not just app blocking. Feed-level blocking.
Because opening YouTube for “one tutorial” and landing on the home feed kills the session.
I use my app Monk Mode (mac.monk-mode.lifestyle) for this.
4) I switched to shorter execution loops
Instead of giant prompts and giant context windows, I work in tighter chunks:
- plan
- execute
- verify
- stop
Smaller loops = fewer drift errors = lower cost.
5) I added hard stop conditions
Every task gets one:
- time cap
- token cap
- retry cap
No cap = emotional decision-making = budget leaks.
My current nightly stack
- Cost visibility: TokenBar
- Focus protection: Monk Mode
- Execution: Claude/Codex/Cursor in short loops
This combo made my nights way less chaotic.
Results so far
- fewer pointless reruns
- lower token waste
- less doomscrolling between runs
- more real shipping momentum
Still improving, but this is the first setup that consistently works.
If you’re building solo with AI, treat focus and cost tracking as core infrastructure, not “nice to have.”
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