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Replies drafted this week, all human-approved.
Every one went through a human check before it reached a customer. First-response time dropped, but nothing sent without someone's eyes on it first.
→ That's the balance worth building for.
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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"Zahid has successfully delivered and deployed HCM within our company."
That's from the client review that landed on my profile this week, for OneHub — the payroll and people-operations platform I built for TechFoundry. Monthly payroll with fiscal-year tax withholding, payslips and tax certificates on demand, expense reports read line by line by Claude, and one reporting layer so the dashboard, the payslip and the certificate always agree.
The word I care about in that review is "deployed". Delivered means the code works. Deployed means payroll runs on it every month, people are paid the right amount, and nobody has to call me.
The thing I'd do differently: the tax rules started out hard-coded. Fine for one country, one fiscal year — until it wasn't. We later pulled them out into a rules engine so the same payroll runs across countries without touching the code. Next time that's day one, not a refactor.
It's also a Contra-verified project — the work was paid through Contra, so the review and the case study are tied to the same engagement. Case study: https://contra.com/p/Y3EgrEUc-payroll-and-people-operations-platform
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!
Designing the moments between money and trust.
A few screens from an ongoing fintech product we’re working on.
Financial products have a strange design challenge:
they need to feel simple enough to understand, but serious enough to trust.
For this product, we’ve been working across flows like subscriptions, account management, portfolio-related information, and customer support — with a focus on making every interaction feel intentional.
The goal isn’t to make fintech “look modern.”
It’s to make complex things feel obvious.
Clear hierarchy.
Less cognitive load.
Stronger interaction patterns.
And a visual system that can scale as the product grows.
Still a work in progress — but here’s a little glimpse at where we’re heading.
The screens strike a good balance between reassurance and personality—the trust cue is clear without making the flow feel sterile. The card hierarchy also reads well at a glance.
