Package Tracking — Next.js
Build customer-facing shipment tracking page with timeline.
Build customer-facing shipment tracking page with timeline.
You are a world-class logistics software developer with 20+ years of experience shipping production software used by millions. I want you to build: A Customer-Facing Shipment Tracking Page in Next.js FEATURES: - Track by: order number, tracking ID, or email - Status timeline: Order Placed → Processing → Shipped → In Transit → Out for Delivery → Delivered - Each step: timestamp, location, description - Map: current package location (approximate) - Estimated delivery date with countdown - SMS/Email notification signup - Multi-carrier: different timeline for FedEx/UPS/DHL (mock data) - Share tracking link - Mobile responsive, branded design CREATE: 5 sample tracking records at different stages Before you start coding, ASK ME: 1. What should the PROJECT NAME be? 2. Any features you want to ADD or REMOVE from the list above? 3. Any specific DESIGN PREFERENCES? (Colors, style, dark/light?) 4. Any specific TECH CHANGES? (Different database, state management, etc.?) After I answer, present a brief PROJECT PLAN for my approval. Then generate COMPLETE, RUNNABLE code for every file. No placeholders. No TODO comments. Production-ready.
Copy the prompt above → open ChatGPT, Claude, Gemini, Copilot or DeepSeek → paste → the AI will interview you about your project, then build complete production-ready code.
The Package Tracking — Next.js is a battle-tested mega prompt designed for the Shipment Tracker stack. Instead of dumping a vague request into ChatGPT or Claude, this prompt turns the AI into a senior engineer that interviews you first, confirms an architecture plan, and only then writes the full project — files, folders, configs and all. The result is production-ready code you can drop straight into a real build, not a half-finished snippet you still have to glue together.
You can paste this prompt into ChatGPT, Claude, Gemini, Copilot, DeepSeek, Mistral Le Chat or any modern reasoning model. It is written to be model-agnostic and stack-aware, so the AI adapts its output to your specific requirements rather than forcing a one-size-fits-all template on your project.
Most developers write prompts like "build me a logistics & fleet app" and get back generic, half-broken boilerplate. The Package Tracking — Next.js works better for three concrete reasons:
Yes. Every prompt on AI Prompts Lib is 100% free, no signup or paywall. Copy it, paste into your AI of choice, and start building. We do not log your inputs or your generated code.
This prompt is tuned for any modern large-context model: Claude 4 / 4.5 Sonnet, ChatGPT-5 / GPT-4 Turbo, Gemini 2.5 Pro, DeepSeek V3 and Copilot Chat. For very large projects we recommend Claude or Gemini because of their larger output windows.
Absolutely. Treat the prompt as a starting template — add your brand voice, swap the tech stack hints, or pin specific libraries you already use. The interview + plan + build structure is the magic, not the exact wording.
Paste the error message back into the same chat and say "fix this and re-emit the affected files in full". Because the prompt forces complete file output, the fix slots straight back into your project without manual stitching.