Mindvalley Stories
Case Study · AI Mastery

A founder turned AI into a daily habit and built a studio, automations and an

A working creative studio, a 7am trend report that writes its own creative brief, and a first SaaS app built with AI as co-founder.

This student treated AI Mastery as a daily practice, not a course. Instead of trying tools now and then, they built systems that research, publish and build every day, so output no longer depends on motivation. Their story shows how a program can become a way of working.

Greg Giles
Founder of a creative studio blending branding, copy, design and AI workflows.
MindSprout Studios, TikTok Trend Intel and MeanStreak

Before

They knew the trap of AI as something you "try" now and then, and of output that rises and falls with motivation. Building software products was outside their comfort zone. They wanted real outcomes, not demos.

“I built systems that force consistent output—so AI isn’t something I “try,” it’s something I use every day to build, ship, and improve.”

In their own words

The turning point

In AI Mastery they decided to make AI an operating habit. They began building automations that run on a schedule, and started using AI as a co-founder to define strategy, design screens and data models, and turn a spec into working code.

“I built automations that run on schedule so output doesn’t depend on motivation.”

In their own words

After

They now run MindSprout Studios as a working business and delivery system, with vibe-coded web builds and repeatable workflows. Every morning at 7am, their TikTok Trend Intel workflow delivers a report of viral trends with three video prompt concepts, a post description and hashtags. A second workflow generates and posts a daily image to Instagram. And they are building their first SaaS product, MeanStreak, a daily health and habit check-in app built around "don't break the chain".

What it lets people do

The trend report lets a creator start each day with ready-to-use creative direction instead of a blank page. MeanStreak is designed to help people keep a simple daily check-in on their health and habits and stay consistent.

What they learned

Consistency is something you can engineer, not something you wait for. By building systems that publish, research and build, they found learning compounds into real output.

“The point of this work is simple: I embedded AI into my life as an operating habit—through systems that publish, systems that research, and systems that build—so learning compounds into real output.”

In their own words

See the work

TikTok Trend Intel workflow: daily 7am trigger to emailed report
Daily Post Generator workflow creating and posting Instagram images
MindSprout Studios Instagram grid of automated daily posts

MindSprout Studios, TikTok Trend Intel and MeanStreak was built during AI Mastery.

Read the full submission
I treated AI Mastery as a daily practice, not a course. I built systems that force consistent output—so AI isn’t something I “try,” it’s something I use every day to build, ship, and improve. 1) I built a real studio and used it daily. I built MindSprout Studios as a working business and delivery system: vibe-coded web builds, productized GPT stack bundles, automated lead capture, and repeatable workflows designed to ship real outcomes—not demos. 2) I engineered daily consistency through automation. I built automations that run on schedule so output doesn’t depend on motivation. One example is a daily “TikTok Trend Intel” system that triggers every morning at 7am and delivers a report of viral trends based on the previous day. The report includes ready-to-use creative direction: three Sora-style video prompt concepts plus a top-ranked post description and hashtag set—so I can execute quickly instead of starting from scratch. 3) I used AI as a co-founder to build a product outside my comfort zone. I’m building my first SaaS product, MeanStreak—a simple daily health and habit check-in app designed around consistency (“don’t break the chain”). I used AI to define the product strategy, outline the free vs paid feature split, design screens and data models, and turn the spec into working code using AI-assisted development. This is “walking the talk” at the skill level: I’m using AI daily to expand into new technical territory and ship a real product. The point of this work is simple: I embedded AI into my life as an operating habit—through systems that publish, systems that research, and systems that build—so learning compounds into real output. Relevant Links: https://mindsproutstudios.com/ https://www.kisschord.com/

Written 11 February 2026 Submitted by the storyteller

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