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When deploying your django worker service to Azure container app watch out for the start command and the image setup.
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AI engineer portfolio with a built-in AI assistant, “Onyx,” that answers visitor questions about my work. Built with React, Tailwind, and Framer Motion on the frontend and LangGraph, FastAPI, and Groq on the backend. Deployed on Azure.
Action Staffing: website for a UK recruitment agency
I built the website for Action Staffing, a UK recruitment agency. It presents their services, explains their four-step hiring process, and gives employers and candidates a simple way to get in touch.
What I built:
- The full site in Next.js, with clean, responsive pages
- A job listings setup that publishes jobs through AWS S3
- Candidate profile documents generated as Word files with Node.js
Live site: https://actionstaffing.co.uk
Stack: Next.js, Node.js, AWS S3
I built a local, synthetic demo of Theme Handoff Pack for agencies that repeatedly hand off small theme changes.
You supply an explicit file list, existing check notes and rollback instructions. One Python command assembles linked HTML, a SHA256 file manifest and a ZIP. It packages what you recorded; it does not test Shopify, validate a repair or establish client acceptance.
The current prototype accepts synthetic samples only. Its CSS change and drawings are fictional, not client work or browser screenshots. Unrun checks stay visibly unrun. The tool has no network calls or AI runtime; Codex produced the code and documentation, with the individual operating ThemeCare accountable.
I am testing a USD29 one-time price for a future reusable local version. No payment or booking is accepted now.
For agencies: thinking about your last handoff, would this replace a step in your Git/Markdown/ZIP process? Would you actually buy it at that price? What required input or command-line setup would make it slower?
Please describe your workflow in general terms. Keep private client files, names and credentials out of public replies. Compliments and views will not be counted as purchase evidence.