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A multi-agent system that autonomously researches products, compares live prices via web-search tools, and provides reasoned purchase recommendations. Built with FastAPI, LangGraph, and multi-agent orchestration.
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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Shopify CRO & UX Optimization – Fashion Ecommerce
I help fashion and lifestyle brands increase conversions, average order value, and customer engagement through strategic Shopify CRO and UX optimization.
For this project, I conducted a comprehensive audit of the customer journey, homepage structure, navigation hierarchy, product discovery experience, mobile usability, and conversion funnels. Key improvements focused on reducing friction, enhancing visual hierarchy, strengthening category navigation, optimizing call-to-action placement, and improving product merchandising.
Using data-driven CRO principles and ecommerce best practices, I identified opportunities to increase shopper engagement, streamline the path to purchase, and create a more intuitive shopping experience across desktop and mobile devices.
Services Delivered:
• Shopify CRO Audit
• UX & UI Evaluation
• Homepage Optimization
• Mobile Experience Review
• Navigation & Information Architecture
• Product Discovery Optimization
• Conversion Funnel Analysis
• Ecommerce Growth Strategy
• A/B Testing Recommendations
• Revenue & Engagement Optimization
Goal: Increase conversion rates, improve user experience, reduce drop-offs, and drive sustainable ecommerce growth through strategic design and data-backed optimization.
Solid approach starting with a full journey audit. From the dev side, a lot of CRO wins hide in PDP load time and trimming page-builder bloat, since every extra app embed adds render-blocking scripts. Did the audit flag any third-party scripts you could defer or drop? Curious how much speed factored into the lift.
Which Home Screen Feels Better? 👀
I'm exploring two directions for an Influencer Discovery Platform and would love your feedback.
Version A (Left)
Light and clean visual style
Minimal distractions
Focused on readability and accessibility
Creates a fresh and welcoming experience
Version B (Right)
Dark mode experience
More premium and immersive feel
Strong visual contrast
Emphasizes content and personality
'd love to know:
Which screen would you choose? (A or B)
What was the first thing that caught your attention?
Which version feels more trustworthy for discovering influencers?
Any usability or visual improvements you'd suggest?
Your feedback will help shape the next iteration of the product. Thanks for taking a look! 🚀
60 voted
64%
34 voted
36%
94 votes
Closed
A. feels cohesive
Multi-Agent AI & RAG Knowledge System for Real Estate
The challenge: Design a complete agentic AI architecture for a real-estate marketplace — one capable of serving buyers, sellers/brokers, and document-verification workflows through specialized AI agents, grounded in real data rather than free-floating LLM responses.
What we built: A full multi-agent system design comprising a fleet of specialized agents (a buyer-facing conversational concierge, a seller/broker AI co-pilot, a document/listing verification agent, and a pricing-valuation agent), coordinated through a central model-routing and orchestration layer. The system is grounded by a Retrieval-Augmented Generation (RAG) pipeline spanning multiple structured knowledge bases (legal/regulatory corpus, market pricing data, locality/infrastructure data) plus a graph-based knowledge layer linking listings, agents, leads, and locations for relationship-aware retrieval — with human-in-the-loop approval gates on consequential actions.
The outcome: A complete, implementation-ready technical architecture covering agent orchestration, RAG pipeline design (vector + graph retrieval), model-routing strategy, and safety guardrails — the kind of specification an engineering team can build directly from.
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