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Industrial AI replaces opaque, high-cost LLMs with deterministic, hybrid architectures built specifically for high-risk, heavily regulated enterprise environments.
It leverages glass-box explainability (like EBMs) and cascading NLP pipelines to resolve up to 80% of operational traffic at zero token cost and sub-millisecond latency on CPU.
By embedding continuous statistical drift monitoring (KS-test/PSI), it translates raw telemetry into audit-ready assets, guaranteeing strict compliance with the EU AI Act and ISO 42001.
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. 🚀
Everyone talks about AI models.
Few talk about what makes AI actually work in production. ⚡
A production-ready AI system is more than just plugging into an API.
It needs:
🔍 High-quality retrieval (RAG)
🧠 Smart orchestration & model selection
🔌 Real integrations with tools & APIs
🛡️ Guardrails, permissions & safety layers
📈 Monitoring, observability & cost control
That’s the difference between:
❌ an impressive AI demo
and
✅ an AI product real users can depend on
As an AI Engineer, I help businesses build intelligent systems that are reliable, scalable, and built for production—not just prototypes. 🚀
Which layer do you think most teams underestimate? 👇
#AI #GenerativeAI #LLMAgents #RAG #AIEngineering #LangChain #PythonDeveloper #ArtificialIntelligence #MachineLearning #AIProducts #Automation #SaaS #TechInnovation #Contra
Built a custom integration between Google Sheets and Gemini API using Google Apps Script. The system processes unstructured email content from body and attachments, sends it to the AI model, and converts it into clean, structured data directly inside Google Sheets. Extracted fields are automatically mapped into predefined columns, enabling further automation, reporting, and analysis.
The solution includes custom prompt handling, API optimization, error handling.
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