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Been working on AI automation and AI-powered applications lately.
I build AI agents, RAG chatbots, LLM applications, and business automations using tools like OpenAI, LangChain, n8n, Python and FastAPI.
I enjoy taking an idea and turning it into something that actually works in a real product.
Currently open to working on interesting AI projects and collaborations.
#AI #GenerativeAI #AIAgents #Automation #LLM
Your use of n8n to stitch together LLM calls and Python logic trims the glue code.
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So I Recently rebranded my upcoming AI Agent Harness from "Crank" to "Pixie" which is the name of my cat. Do you think it was the right decision?
Which one do you prefer? Crank or Pixie?!
Check it out here: pixie.ecnivs.com
#FreelancerLife #AIHarness #FrontendDesign #AIAgent #ArtificialIntelligence #WebDevelopment #Design #TasteTest
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Pixie gets my vote too. Naming it after your cat makes it memorable, and it feels a lot friendlier for a tool people trust with their code. Nice rebrand.
An experimental AI-agent application for researching business opportunities using web search, webpage extraction, evidence collection and structured analysis.
The evidence collection step is where I would look first. When two pages disagree, do you keep both source links so someone can see why the analysis chose one?
I built SupportPilot, an intelligent AI Customer Support and Analytics Agent powered by RAG architecture.
It provides complete visibility into AI performance through real-time metrics—achieving a 74% Deflection Rate, 1.00 Faithfulness score, and 0.89 Answer Relevancy. In addition to automating customer queries with high precision, it analyzes feedback and competitor reviews using Sentiment Analysis to generate AI-powered sales insight reports. It also features customizable white-label branding for seamless integration.
Live Demo Website: [https://supportpilot-rag-agent-pranavi9.vercel.app/]