
THIS WEEK’S STORY
How to Build Mobile Apps with AI in 2026
TLDR: Top AI builders now ship mobile apps the same day the idea forms. They design the app around a 10-second demo, post it, watch reactions, tighten the loop, and only then add monetization. The demo becomes distribution. The content shapes the product.
Something fundamental has changed in how the best AI builders are shipping mobile apps right now.
Not the tools → The building loop
In 2026, top builders aren’t treating app development as a long, linear process anymore. Planning, building, polishing, then launching has collapsed into a tight daily cycle.
The moment an idea forms, there’s already a working mobile MVP live. Not a prototype or a Figma screen; a real app you can open, tap, and record the same day.
What’s interesting is that building the app itself is no longer the bottleneck. Distribution and feedback are.
So the smartest builders are designing apps around one constraint from day one:
Can the core interaction be understood in a 10-second screen recording?
That recording becomes the first product test.
They study top short-form videos in their category, break down the first three seconds, then build demos around the hook, not the feature list. Demos are recorded straight from the simulator or device and posted as is. No polish. No narration. Just behavior.
Short-form video becomes a live feedback channel.
Where people pause, replay, or comment “wait what,” that’s the signal. Comments that explain the product clearly get saved, clustered with AI, and turned into concrete product changes. The goal isn’t adding features; it’s shipping the smallest change that makes the demo clearer.
Those changes get pushed fast. New demos get recorded the same day.
Over time, something clicks: the app starts explaining itself without narration. The demo becomes the distribution engine. That’s the north star.
👉 Only after curiosity appears do paywalls show up.
👉 A short quiz in onboarding
👉 One personalized output
👉 Immediate value
Ownership is created early, so users come back.
The product doesn’t dictate the content anymore. The content shapes the product.
The loop is simple and ruthless: ship → demo → observe reactions → tighten the loop → charge → repeat until momentum compounds.
This is what building mobile apps with AI looks like now.
And if you follow this loop long enough, something almost inevitable happens:
product-market fit doesn’t feel like a big launch moment; it quietly sneaks up on you.
You didn’t just ship an app.
You built a system that keeps finding what works.
🤖 BTW: I am creating resources to get you from 0 to full App with AI in 2026. Join this waiting list for something special.
HEADLINES
$NVDA ( ▼ 0.1% ) is investing everywhere in AI, on purpose
NVIDIA has become the biggest power broker in AI, not just through GPUs but through capital.
Key numbers:
$4.6T market cap after riding the AI boom post-ChatGPT
67 startup investments in 2025, up from 54 in all of 2024
NVentures (its corporate VC arm) went from 1 deal in 2022 to 30 deals in 2025
NVIDIA is backing the entire AI stack:
Model labs: OpenAI, Anthropic, Mistral, xAI
AI coding tools: Cursor, Poolside
Infrastructure & data centers: CoreWeave, Crusoe, Lambda, Nscale
AI search, video, robotics, autonomy, and cloud platforms
Stated goal: fund “game changers and market makers” to expand the AI ecosystem.
Real outcome: NVIDIA now has exposure to almost every serious AI platform that consumes compute.
Signal for builders:
AI isn’t a trend anymore. It’s global infrastructure; and capital is aligning behind the tools that help people build faster, not just models themselves.
THIS WEEK’S TIP
Vibe Coding is your friend
This is the idea → try to vibecode first purely out of curiosity or solving your own problems.
Treat it like a playground. Mix and match APIs, models, interfaces, and ideas like they’re Lego blocks.
Who cares if it doesn’t look polished.
Who cares if it breaks design rules.
If you like it, ship it.
This is how you build the real skill; understanding how different technologies fit together.
People who vibecode out of necessity or curiosity almost always do better than those who try to “build a SaaS” on their first attempt.
Give yourself room to explore. Ignore the rules. Be creative.
Be absurd, even.
If you create something enjoyable or useful for yourself, let one other person in.
Just one.
Use it together if you can. Vibecoding multiplayer counts.
If they like it, do that again.
Through this process, a business opportunity may emerge.
⚠ COMMON MISTAKES NON-DEVELOPERS MAKE:
Trying to build a startup before building anything fun
Over-polishing instead of shipping something usable
Copying features instead of solving their own problems
Waiting for “perfect” design or code quality
Adding complexity before clarity
Ignoring real human feedback in favor of opinions
✅ GREEN FLAGS (DO THIS INSTEAD):
Build something just for yourself first
Ship the moment it becomes usable
Optimize for clarity, not polish
Let demos and real usage guide decisions
Keep the first version embarrassingly small
Invite one real person in early
Watch how they use it, not what they say
Change the product to make the demo clearer
Repeat what works before adding anything new
🤖 Ps if you need direction on how to get going with AI, join this waiting list
QUICK HITS
Google published its 2025 AI recap, highlighting Gemini 3 advances, generative media tools like Veo 3.1 and Imagen 4, and Deep Research inside NotebookLM
Experts predict 2026 will mark a shift from AI hype to pragmatism, with focus on real deployments, world models, and agentic systems that augment work—not replace humans
Cursor CEO Michael Truell warns “vibe coding” creates fragile codebases, noting fast AI-driven builds often fail at scale despite Cursor’s $29.3B valuation
A Stanford study shows entry-level developer jobs (ages 22–25) are down ~20% since 2022, as 65% of developers now use AI coding tools weekly
Analysts forecast 2026 AI priorities will center on agentic workflows, edge/on-device AI, hybrid quantum systems, and stronger focus on data quality and security
PS: I’m working on practical guides and a small live cohort to help non-developers actually ship real apps with AI (not just learn theory).
I’ll be opening this to a small group first,
join the waitlist here → https://tally.so/r/gDeLrM
Hope you enjoyed this aiOS App Builders edition!
💡 Got an AI tool for us to check out or collaborate?
Send us a message and let us know!
Was this edition forwarded to you? Sign up here
See you in 2026!
Filippo



