Five Apps in Six Months

Jennifer Deal went from markers on a whiteboard to building a storytelling app for autistic children. The secret wasn’t the tools. It was what she learned before she touched them.

Jennifer Deal is a marketplace growth professional at Temu. She spends her days thinking about scale, acquisition, conversion. The kind of work where you’re optimizing systems that already exist.

On the side, she built five applications in six months.

One of them is a storytelling app designed for autistic children. She vibecoded her way through the whole thing, from concept to functional product. Not as a side hustle. Not as a portfolio piece for some future career pivot. Because she saw a problem and realized she could actually build the solution herself.

“In the span of 6 months, I have now vibecoded my way into building a storytelling app for autistic children.”

From markers to building the thing

The trajectory Jennifer describes is one I keep hearing from leaders in our AI Career Boost Blueprint program, but she puts it more vividly than most.

“We went from markers to PowerPoint to just straight up AI and let me just build you what I’m talking about. That’s what I can do now. That’s crazy.”

Think about that progression. Whiteboard markers to draw what you mean. PowerPoint to mock it up. And now, skipping every layer of abstraction in between, building the working version live. The person with the idea and the person who can execute it are the same person. That collapse happened in six months.

This is the AI player-coach shift playing out in real time. Not in theory, not in a framework deck. Someone who had never built software went from sketching concepts to shipping functional applications, and the gap between those two realities was less than half a year.

Why speed came from depth

Five apps in six months sounds like someone who found a shortcut. Jennifer would tell you the opposite. When I asked what advice she’d give other leaders trying to make this transition, she didn’t talk about tools, templates, or prompting tricks.

She repeated herself. On purpose.

“Earnestly learn the fundamentals. Earnestly learn the fundamentals. Because in the last six months I have benefited from that more than anything else.”

She said it twice because she meant it twice. The velocity didn’t come from skipping steps. It came from doing the unglamorous foundational work first, then watching that foundation compound into speed that would have been impossible without it.

This is the part that gets lost in the breathless discourse about vibe coding and AI-generated everything. Yes, the tools are extraordinary. Yes, you can build things faster than ever before. But the people building the most interesting things, the ones solving real problems for real users, are the ones who invested in understanding what they were doing before they tried to do it fast.

Jennifer didn’t credit Claude or Cursor or any specific tool for what she built. She credited the deliberate work of learning how AI development actually works. The fundamentals gave her the judgment to know what to build, the vocabulary to describe what she wanted, and the instinct to recognize when something was wrong.

The compound effect

Five apps is a lot. But the number matters less than what it represents: each project taught her something that made the next one faster, sharper, more ambitious. The storytelling app for autistic children isn’t project number five because she was practicing on throwaway experiments. It’s project number five because each previous build expanded what she believed was possible for her to create.

That compound effect is what separates someone who tries AI once and moves on from someone who fundamentally changes how they work. The first project is clumsy. The second is faster. By the fifth, you’re building things you wouldn’t have imagined attempting six months ago.

Jennifer’s story is proof of something I see across every cohort: the transformation isn’t linear. It accelerates. And the fuel for that acceleration is always the same. Not better tools. Better understanding.

Listen to the full conversation: Episode 53, The AI Product Leader

Polly Allen is the founder of AI Career Boost and host of The AI Product Leader podcast. She spent years leading AI at Amazon Alexa before building the AI Career Boost Blueprint, an 8-week program for Director+ product leaders becoming indispensable AI player-coaches. Subscribe to The AI Player-Coach newsletter →