Freelance AI Agent Orchestrators in New York
Freelance AI Agent Orchestrators in New York
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Gokulakrishnan Balaji
New York, USA
Custom Agentic AI System for Lead Qualification & Sales
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Custom Agentic AI System for Lead Qualification & Sales
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The 6 Stages of the Digital Property Buyer And where real estate companies lose them. A property buyer rarely goes from seeing an ad → visiting a website → submitting an enquiry → buying. The journey is far more complex. For our latest YUKTAAI Research, we analyzed and synthesized findings across 29 industry reports, studies and research sources covering digital buying behaviour, UX, conversion psychology and real estate buyer behaviour. The research draws on work from organizations including Baymard Institute, Microsoft, Nielsen Norman Group, CXL and the National Association of REALTORS® (NAR). What emerged was a clear 6-stage digital property journey: Awareness → Search → Evaluation → Inquiry → Verification → Closing And buyers can disappear at every stage. Outdated pricing during search. Hidden fees or unclear payment plans during evaluation. Long forms and gated information when they're ready to enquire. Slow responses after they've already shown intent. The interesting part? The problem isn't always generating more traffic. Sometimes the buyer is already on the website. The real problem is helping them move confidently from one decision to the next. We mapped the full journey and the major friction points below. Want the deeper research behind this framework? Reach out to YUKTAAI.
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Over 175 million people message businesses on WhatsApp every day. For real estate, that's where many buying conversations begin. Yet most developers still treat WhatsApp as a simple inbox. We think it should be an AI-powered sales experience. In this demo, YUKTAAI acts as an Agentic AI for a real estate developer: • Understands buyer intent • Qualifies the prospect naturally • Recommends relevant properties • Answers project and payment plan questions • Captures the lead at the right moment Not a chatbot. An AI employee designed to guide buyers from their first message to a qualified sales opportunity.
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Built an automotive demo for YUKTAAI — an AI Vehicle Advisor for used-car marketplaces. The demo shows how a shopper can go from: “I’m looking for a used car” to a confident vehicle decision through smart qualification, relevant car recommendations, vehicle-history signals, comparison support, and dealer lead capture. Instead of just showing hundreds of listings, YUKTAAI helps shoppers understand which vehicle fits their needs, which one they can trust, and what the next best step should be. From browsing to buying confidence.
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Agentic AI Conversational Layer for Real Estate and Property Booking Websites. Visitor → Qualified → Lead Generated → Site visit booked. That's the whole product, and this video is the proof — including full Arabic conversation and live calendar booking. Your ad spend brings the buyers. YUKTAAI makes sure they don't leave unqualified. yuktaai.com (http://yuktaai.com)
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AI Agent Orchestrator
(9)
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Maxwell L
Morristown, USA
Solutions Architect / C# .NET / Azure / AI
New to Contra
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Solutions Architect / C# .NET / Azure / AI
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AI Inference Observability Dashboard - Acts as an overlay for OpenClaw that improves analysis of autonomous agent operations. Works with local and cloud models and extracts tool chain calls with deep request/response details for logging and debugging.
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OpenClaw Autonomous AI Research Agents | Performing automated article topic discovery, research, drafting, then seamlessly publishing to preferred channel.
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Spec-driven AI Development using the Memory Bank pattern | dapiq.com/insights/ai-memory-bank-spec-driven-workflow (https://dapiq.com/insights/ai-memory-bank-spec-driven-workflow)
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Monster Tower Defense Game | devopsmax.github.io/monster-tower-defense
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AI Agent Orchestrator
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