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I ghostwrote and published a DZone article on how AI-driven, autonomous CI/CD pipelines enable risk-aware DevOps by predicting failures, reducing downtime, improving reliability, and lowering SREs' cognitive load.
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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Exploring more AI templates inside CapCut — excited to test these next 🚀 #AIContraCut #capcut
Nice 👌 Clean typography choice. Curious — what made you pick this template over others?
My current AI powered workflow as a designer and non native English speaker:
→ I use ChatGPT’s Memory as my operational brain. I fed it my pricing, deliverables and feedback rounds, so when I draft complex client emails, I’m not starting from zero. I edit everything, ✨always✨.
I’m fluent in English, but it helps me catch small grammar or spelling details for extra credibility.
→ When I find myself spending hours 🫠 searching for the perfect packaging mockup I turn to Adobe Firefly to create them. The Nano Banana integration is honestly amazing.
What’s actually working? AI removes admin noise and speeds up exploration although it’s terrible at taste. Strategy and design are still human work.
Which part of your workflow has AI genuinely improved, and which part would you never hand over?
Very thoughtful workflow approach. Curious — what aspect of your process improved the most after structuring memory this way?
Just shipped a full AI platform. Solo build.
Multi-model AI chat. Autonomous workflow agents. 500+ app integrations. Long-term memory that learns over time. RAG knowledge bases. Embeddable customer support widget. Team inbox.
Custom tool builder. Multi-tenant billing. Sub-agent orchestration.
Full stack. Production grade. Not a tutorial project.
Cool work. I am developing something similar where you can automate with only chat and integration with 908 apps so far. Good work!
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