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Title:
AI Workflow Automation Platform
Tech Stack:
n8n, LangGraph, OpenAI API, TypeScript, Node.js, Webhooks, REST APIs, PostgreSQL
Description:
Built a concept automation platform inspired by modern AI-first workflow tools. The system helps teams connect apps, automate repetitive tasks, trigger workflows from forms or webhooks, and add AI steps for smarter decision-making.
What I worked on:
- Designed automation flow logic with triggers, actions, and conditional steps
- Integrated third-party APIs, webhooks, and AI-powered task handling
- Added error handling, logs, retries, and human review steps
- Created a clean dashboard for managing workflows and automation history
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 AI agents look impressive in demos.
Very few survive real-world production. ⚡
A production-ready AI agent needs more than prompts.
It needs:
🧠 Memory & reasoning
🔍 Reliable retrieval (RAG)
🔌 Tool & API integrations
⚙️ Workflow orchestration
🛡️ Guardrails & fallback logic
📈 Monitoring & optimization
That’s the difference between:
❌ an AI chatbot that talks
and
✅ an AI agent that actually gets work done
The future of software isn’t just AI-generated text.
It’s intelligent systems that can reason, act, automate, and deliver measurable outcomes. 🚀
As an AI Engineer, I build production-ready AI agents, RAG systems, and full-stack AI products designed for real users—not just demos.
What’s one workflow you’d trust an AI agent to handle today? 👇
#AI #AIAgents #LLMAgents #GenerativeAI #RAG #LangChain #PythonDeveloper #AIEngineering #Automation #ArtificialIntelligence #FullStackDevelopment #AIProducts #SaaS #Contra
Real AI = real outcomes. 🚀
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