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High-Agency ASO Audit Agent (Mastra & TypeScript)
I architected and built an autonomous AI Agent designed to perform deep App Store Optimization (ASO) audits. Moving beyond simple LLM wrappers, this system utilizes the Mastra framework to handle complex, stateful workflows that automate data-gathering and competitive analysis.
Technical Excellence:
Stateful Workflows: Implemented graph-based logic to manage multi-step audit processes autonomously.
Data Integrity: Used Zod for strict schema validation, ensuring 100% type-safe, structured JSON outputs with zero LLM hallucinations.
Scoring Engine: Developed a 10-dimension data-grounded framework to score apps based on real-time market data and keyword density.
Production Ready: Built with a "Zero-Slop" mindset, focusing on high-velocity execution and clean, maintainable TypeScript code.
This project demonstrates my ability to bridge the gap between advanced Agentic AI research and scalable, type-safe production software.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Solar Energy Website
A thin lime circle tells you which two words this page is about.
The headline sits over a sunset photo of a panel field. The "Get started" and "Explore innovations" buttons share the circle's lime, so the eye moves from the circled words straight to the next step.
Large faded capitals repeat those two words across the sky, faint enough to stay inside the photo. On mobile they break onto two lines, and the headline and button stack above two frosted cards.
Only two words of "Solar Energy for Your Home and Business" are lime, and the whole page follows them.
Designed by the Hue & Machine team.
#SolarEnergy #RenewableEnergy #CleanTech #WebDesign #LandingPage #HeroSection #UIDesign #ResponsiveDesign #MobileDesign #FigmaDesign
This is really cool, Nice job Dmytro
The fix for an agent that keeps getting your design system wrong isn't a better prompt.
It's putting the rules where the agent reads them.
In the repo. In skills. In checks it can run itself.
Writing a course about exactly this.
What sells it for me is the refusal telling the agent exactly where the token should go. A bare "no hex" error usually just sends it looping. Does guard.mjs run only as an agent hook, or in pre-commit too so it catches humans as well?
A bold, modern landing page for a creative agency, built around immersive visuals and strong typography. We’d love to hear your thoughts!
