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Built a personal AI planning app — V12 Planner. Users set daily goals, health targets and life vision. An AI chatbot sends smart reminders and helps structure each day. Installable directly on mobile. No App Store needed. Built for entrepreneurs who want to perform at their best — every single day.
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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AI is a great copilot, but it’s a terrible captain.
With AI coding assistants, it’s easy to fall into the trap of letting the LLM drive the entire development workflow. You prompt, copy, paste, and pray.
But our value as software engineers has never been about how fast we type syntax. It’s about system design, critical thinking, and code ownership.
Our role is evolving from builders to technical pilots. If you completely delegate the workflow, you lose control of the project.
Here is a quick framework to keep ownership of your features while leveraging AI:
🛠️ The 4-Step Workflow Guide
Design First, Prompt Second: Define your architecture, data flow, and edge cases before touching an LLM. Use AI to implement, not to invent.
Deconstruct: Break features into micro-steps. Guide the AI through isolated, high-context tasks (schema ➡️ logic ➡️ error handling).
Radical Skepticism: Treat AI code like a PR from an intern who is incredibly fast but occasionally hallucinates. Test and review every single line.
Own the "Why": If a bug hits production, "the AI wrote it" is not an option. You are responsible for the code you ship.
📌 To Developers: The future belongs to those who use AI to accelerate execution, but keep their eyes on system architecture and product sense.
📌 To Tech Recruiters: Stop looking for syntax experts. Look for developers with strong debugging frameworks, system-level thinking, and true project ownership.
Just completed another modern landing page project focused on speed, clean UI, and user experience. 🚀
MotoGo is designed to connect users with fast and reliable delivery riders through a simple and intuitive platform. The goal was to create a responsive, user-friendly interface that feels modern, smooth, and conversion-focused.
Excited to keep building digital products that solve real-world problems with design and technology. 🔥
#WebDesign #FrontendDevelopment #UIDesign #LandingPage #ReactJS #WebDevelopment #Tech #BuildInPublic
😊 AI-Powered Appointment Booking Automation with n8n
This project is an AI-powered appointment booking automation system built with n8n. The workflow is designed to let a user interact with a conversational AI assistant, request an appointment, provide personal details, and move through the booking process automatically.
The system uses an AI agent connected with a knowledge base, memory, vector storage, and external tools. It can understand user messages, ask follow-up questions, collect booking information such as name and email, check calendar availability, create a calendar event, and send confirmation messages through Gmail. The workflow also includes document ingestion, text extraction, embeddings, and Supabase Vector Store integration so the assistant can answer based on stored business information.
My work focused on building the full automation flow inside n8n, connecting AI models, configuring memory and knowledge base retrieval, integrating Google Calendar and Gmail actions, and testing the conversational booking process from start to finish. The result is a practical AI assistant system that can reduce manual appointment scheduling work and provide a smoother customer booking experience.
Skills & Tools:
n8n, AI Automation, Workflow Automation, AI Agent, Google Calendar API, Gmail Automation, Supabase Vector Store, HuggingFace Embeddings, Google Gemini, Groq, RAG Workflow, Knowledge Base Integration, Chatbot Automation, Appointment Booking System, CRM/Business Process Automation.
Appointment booking bot that does the task, nothing makes work easier than this
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