I'm a self-taught technical founder with an English lit degree. I shipped a live AI product and tracked exactly how much I grew in 10 days.

Founders are unreliable narrators of their own growth. So I built a system to fact-check myself.

It started as daily logs.

Every night, I voice-record my progress: a brain dump of what I did, what moved and what I was accountable for. Talking makes it honest, even at 2am.

My AI Skill Auditor processes it, structures it, and logs it against actual work.

Self-reporting doesn't paint an objective picture. So I built in receipts - three sources cross-checked:

→ My Notion - startup-wide contributions
→ Maibel workspace - what actually shipped
→ Team chat - how I showed up under pressure

I wanted a visual to map it all. Each node on my radar chart is mapped to receipts: specific bug, the date, the delta.

I'm not just tracking technical skills, but how I think, debug, and lead under pressure. I also wanted insights into my blindspots - the ones I'd never have caught.

Of course, AI roasts went straight for the jugular.

"You are still a central dependency in too many decision paths."
Guilty as charged.

"Some quality judgments still depend on founder detection rather than robust eval loops."

To be fair - I helped design the evals. I know what good looks like before it flags it. The Auditor just thinks I should trust it more, my gut slightly less.

Probably right. But the wins feel earned too:

"From executing with AI tools to orchestrating agentic systems."

Two moments stood out from launch chaos:

1. My mental model shift: I stopped seeing AI as just tools and started thinking how to give better instructions. Every part of the system got a specific job (agents and humans alike):

ChatGPT for strategy, Codex for execution, Notion for memory, contributors for judgment.

At one point I stopped feeling like I was putting out fires but running an emergency response station.

2. A leadership win: early in the launch, when something broke, I'd jump right in to fix it.

Then I realised: when you're the fastest way to solve it, THAT becomes the problem. Every time I stepped in, I was training my team to wait for me. That doesn't scale.

So I stopped. Triaged instead: Which priority level? Whose lane is this? What do they need to own it?

Logged it, wrote a brief and handed it off.

Bugs still got fixed. Not always instantly, but in the right order now.

The Auditor also surfaced my blindspots.

I still outrun my own infra. My thinking moves faster than my measurement systems. Still the missing middleware in too many decisions.

"The structure is still heavily founder-interpreted. That works in a sprint. It breaks at scale."

Absolutely right.

So the focus now isn't more effort, it's direction. From building to multiplying.
- judgment → evals
- instincts → failure patterns
- decisions → systems

Eight weeks in, I realised the hardest part isn't technical. It's making yourself unnecessary in the right places.

Originally published 31 March 2026 on LinkedIn. Republished here on 4 October 2026. This piece reflects the work and perspective at the time it was written.
Mabel Loh

Hi, I’m Mabel.

I’m the founder of Maibel. I write about emotional AI, women’s wellness and learning to build the things I wish existed.

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