I'm Darius. I like turning ideas into products people can actually use. Everything below is live right now — feel free to click in and look around.
AI-powered personal cloud storage — upload, understand and manage all your files.
AI mock interviews and resume analysis with real, role-specific feedback.
An AI creator cockpit — create once, grow everywhere.
More projects on the way — always building.
A cross-platform editorial retrospective on a weekly AI news roundup covering Claude Fable 5, Meta brain-decoding, and Sam Altman's UBI proposal. Targets content creators and AI-curious professionals. Key takeaway: the same AI story requires five distinct formats per platform, and a structured weekly digest beats an information firehose.
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Article argues Chinese AI startups can outcompete larger incumbents not through spending but by embedding AI natively into architecture, focusing on narrow verticals, and iterating faster. Provides actionable framework across engineering, data moats, and ecosystem strategy for founders and technical leaders.
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Article presents a decision framework for choosing AI productivity platforms, arguing integration depth matters more than feature count. Targets engineering leaders and professionals, offering a 3-step evaluation method, comparison table, and FAQ. Key takeaway: prioritize native AI architecture and total cost of ownership over surface-level AI marketing claims.
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I believe AI shouldn't stay stuck in demos and wow-moments — it should grow into real products and run in real situations. Every project above is a test of that idea: turning intelligence into something useful every day, not a one-off trick.
So they share one thing: AI is a native capability, not a bolt-on button — and all of them are deployed on real domains, running right now. Let AI understand your files, give interviews honest feedback, let creation grow in one place and distribute everywhere. Being genuinely useful is the real bar for AI.