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Every day, we feature the community's top-voted AI workflow in The Rundown newsletter. One post will put you on the radar of top founders, hiring managers, and operators across the industry.

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Build and launch a Shopify site with an AI developer

I used Claude to help my brother-in-law build a Shopify website for his e-commerce store. By sharing screenshots, design references, and business requirements, I had Claude generate Liquid code, troubleshoot theme issues, modify page layouts, and explain exactly where changes needed to be made within Shopify. Instead of digging through forums and documentation for every issue, Claude acted like an on-demand Shopify developer, helping with everything. It sped up development, allowing the site to move from concept to launch much faster. Step-by-step: 1. I shared screenshots, design references, and the business requirements for the Shopify store with Claude. 2. I asked it to generate the Liquid code needed for the theme and explain where each change belonged in Shopify. 3. I used it to modify page layouts and translate visual feedback into specific code changes. 4. When theme issues appeared, I brought the errors and screenshots back to Claude for troubleshooting. 5. I repeated that loop until the store moved from concept to a working launch.

Tools used
Industry
#coding#ecommerce
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How AI agents run half my startup: smart deals, trades, services marketplace, dev process, and security testing

I use AI agents across roughly half of my startup, including search, security testing, development, and affiliate integrations. - Smart Shopping Deals search: It never relies on a single AI provider. I use a chain of backup providers for LLM-based search and embeddings with pgvector. If one provider fails or times out, the system silently retries with the next. A slow provider never hangs the request, and users never see the failure. In the worst case, the system falls back to plain search. - Security testing: I run the autonomous AI security agent Strix against my live preview after every deploy. It actively attacks the app the way a hacker would. - Development workflow: My real “team” is a four-layer testing rule enforced by the AI itself. Every feature has to ship with backend tests, component tests, full browser end-to-end tests, and test-data setup, all in the same commit. Claude Code doesn’t consider a feature “done” until all four exist—not just the code. - Affiliate parsing: One parser handles every affiliate network. I paste in the raw ad code from any network, and the same parser automatically extracts the banner link, image, and destination URL. No network-specific code is needed.

Tools used
Industries
#aiagent#ecommerce#homeservices#marketplace#shoppingdeals
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