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HR-ASSIST is an intelligent AI-powered HR Management System built on the Model Context Protocol (MCP) to automate onboarding and routine HR workflows. Claude functions as an autonomous HR agent that understands requests, plans actions, and executes multi-step tasks—creating employee records, finding managers, sending emails, raising tickets, scheduling meetings, and handling errors—delivering a complete, automated HR workflow end to end.
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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Most teams we work with want to say their product is AI-powered. Few have asked whether their organisation is ready to support that claim.
We have observed a recurring pattern where a team commits to building a machine learning system and, after months, discovers that their data isn't clean enough to train on. The infrastructure then fails to reliably serve a model.
In such cases, our diagnosis has often concluded that the foundation is the problem. Machine learning readiness is a precondition, and one must begin with a straightforward question - "Do we have the data pipeline, infrastructure and cross-functional alignment to make this sustainable beyond a PoC?"
That question is what prompted our first article titled "The Machine Learning Readiness Checklist".
We cover everything a team needs, from data and infrastructure to the right kind of team members. All of this must be done before committing serious engineering time and budgets.
If you're a founder, engineering lead or a decision maker within your organisation who wants to build things correctly, we encourage you to read the full piece here:
https://www.algorithmic.co/blogs/the-machine-learning-checklist
We'll be sharing more each week. Follow along if this is relevant to what you're building.
P.S. This article is from late 2025 but more than ever relevant.
Love the vibe of this!
I built my first native iOS app this weekend.
The client? My wife. The budget? $0 😅
She's a home pastry chef and needed a kitchen timer. Simple brief. Zero negotiation room.
Spent most of the weekend designing it by hand in Figma - Dieter Rams vibes, minimalist with a touch of skeuomorphic texture that just feels right on a physical device.
Then handed it off to Claude Code to implement in Xcode.
Accuracy? Kind of wild. 99% pixel-perfect from my Figma file. A lot of prompting, but it delivered.
App's live on TestFlight. Client tested it. Client approved it. Client is still not paying.
Next up: multi-step timers - which was actually the feature she asked for in the first place.
Great job! I'm sure she loves it .
After 91 versions and a remix of Car Game, I've built a barbershop academy.
It was fun but intense.
https://omma.build/p/remix-car-game-auwqu1
91 versions to get here is commitment — a 3D barbershop academy built in Omma with three.js is genuinely impressive
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