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AI Content Engine | News → Podcast → Video → Distribution
/ this is a piece of art / 😍
My Role:
AI Solutions Architect · Automation Engineer · GTM Systems Architect
Description:
Built an end-to-end AI content engine that turns one news signal into a complete multi-channel publishing cycle. The workflow researches and rewrites content, applies SEO/GEO optimization, generates podcast and video assets, creates short and long-form media, updates the website and pSEO structure, distributes content across social channels, sends newsletters, and reports execution status in Slack.
Different AI models and APIs are routed to the tasks where they deliver the best quality, speed, and cost.
Industry:
Media · Marketing Technology · SaaS
Deliverables:
Content Automation Engine · Multi-Model Routing · Podcast Automation (Spotify Upload) · AI Video Pipeline · Social & Web Distribution
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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🎰 6 POSTS AGO I ASKED: LUCK OR A PATTERN?
Well… apparently, a pattern.
Another Asol Design project was hand-picked by the Contra team.
Feature #7.
And this time it’s our AI Voice Notes App, another mobile product concept built around the same principle I keep pushing:
Great mobile design isn’t just about making screens look beautiful.
It’s about combining product thinking, user behavior, growth logic, and strong visual execution into one clear experience.
7 features later, I think the pattern is becoming pretty obvious. 👀
Thank you, Contra team, for noticing the work again.
More mobile product experiments, growth thinking, and probably a few more Contra features are coming. 👀
Next stop: #8?
#mobileappdesign #productdesign #uxdesign #uidesign #growthdesign #iosdesign #aidesign #figma #asol_design
Congrats 🎉
Experimented a bit today with Krea and image generation for a case study I’m putting together around AI EarPods connected to OpenAI.
The focus has been on creating fashion-forward product imagery and art directing a world that feels specific to the identity, rather than just generating nice-looking AI images.
The trickiest part has been product consistency. Especially getting the EarPods to actually sit snug in the ear. If you’ve worked through this process, you probably know the struggle 😅
Simply telling AI to “make it fit more snug or in the ear” doesn’t always work. It loves to reinterpret the product every time.
Still experimenting, but getting closer. If anyone has found a good workflow for keeping products consistent across AI-generated shoots, I’d love to hear it!
TOP!
Challenges
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