Expert AI Developer: Build a Custom Multi-Platform Virtual Assistant (GPT-4/Gemini API)

@infowider11

⭐️⭐️⭐️Custom AI Virtual Assistant for Multi-Platform Websites ⭐️⭐️⭐️ Hello, I’ve gone through your JD and understand you need a sophisticated, branded AI assistant that adapts to three distinct platforms while delivering accurate, scam-free advice. I can build a responsive floating chat widget with a unified backend orchestrator that leverages multiple LLMs for reliable answers. • Admin/Owner: Manage AI personas, review chat interactions, tweak prompts, monitor performance • Visitor/User: Interact via floating chat widget, get instant AI-driven answers, experience consistent branding across platforms • System/Backend: Route queries to appropriate LLM (Gemini, GPT, etc.), manage prompt engineering, log analytics Let’s chat… Thanks

@ciestosolution

*** CAN SHOW A WORKING DEMO BY SHARING MY SCREEN*** Hi, This is a really exciting project—especially the idea of a single AI assistant adapting across multiple platforms. I’ve worked on a similar system for a voice-over company, where I built an AI-powered support assistant using OpenAI. It handled client queries, maintained context, and delivered accurate responses while keeping the tone aligned with the brand. That experience translates well into what you're building here, especially around prompt control and structured responses. For your setup, here’s how I’d approach it: * **Frontend:** A lightweight React-based floating widget (script-embeddable) with clean UI, fast load, and fully aligned to your branding * **Backend (Orchestrator):** Node. js-based service using LangChain (or similar) to manage multi-persona logic across your three platforms * **LLM Layer:** Primary OpenAI (GPT) with optional fallback/cross-check via Gemini for better accuracy and reliability * **Prompt Engineering:** Custom prompts per platform to ensure the assistant stays in character and delivers relevant responses **Focus areas for me would be:** * Fast response time (optimized API calls + caching where needed) * Cost control (smart routing between models) * Clean, scalable structure so you can expand later **Recommended stack:** React (widget) + Node.js (API) + OpenAI/Gemini + LangChain Happy to discuss further or walk you through how this can be structured step-by-step. Best, Rahul

@ZohaibRoy

⭐⭐⭐⭐⭐ Create a Custom AI Virtual Assistant for Your Web Platforms ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you're looking for a developer to build a sophisticated AI Virtual Assistant for your platforms. Look no further; Zohaib is here to assist you! My team has successfully completed over 50 similar projects for AI solutions. I will ensure a seamless chat widget design, robust backend orchestration, and accurate AI responses tailored to your branding. ➡️ Why Me? I can easily build your AI Virtual Assistant as I have 5 years of experience in AI development, specializing in APIs, front-end, and back-end integration. My expertise includes React, Vue, and prompt engineering. Additionally, I have a strong grip on OpenAI API and Google Gemini API, ensuring your project is handled effectively. ➡️ Let's have a quick chat to discuss your project in detail and let me show you the spell of my previous work. Looking forward to discussing with you in chat. ➡️ Skills & Experience: ✅ AI Development ✅ OpenAI API ✅ Google Gemini API ✅ LangChain ✅ React ✅ Vue ✅ Prompt Engineering ✅ Front-End Development ✅ Back-End Development ✅ API Integration ✅ Chatbot Development ✅ UX/UI Design Waiting for your response! Best Regards, Zohaib

@Herculesz

Hi The key challenge here is not just building a chatbot, but designing a multi-persona AI system that maintains accuracy, fast response time, and consistent behavior across different platforms without conflicting outputs. I can build a React-based floating widget (script-embeddable) with clean UI aligned to your branding, including prompt buttons and responsive behavior across devices. On the backend, I would implement a unified orchestrator using Node.js with LangChain (or similar) to route queries and manage persona-specific prompts per platform. To improve accuracy, I can integrate multi-LLM routing (OpenAI + Gemini) with response validation or fallback logic to reduce hallucinations and ensure grounded answers. I will also apply structured prompt engineering and context control so each assistant stays aligned with its domain (rides, study, exports) without leaking information across roles. The system will include caching, rate control, and optimized API usage to keep latency low and operating costs efficient. The architecture will be modular, allowing easy scaling, tuning, and future model integrations as your platforms grow. I have solid experience building AI-driven interfaces, API orchestration, and production-ready chatbot systems. Thanks, Hercules

@corpmember29

Hello, I have reviewed your requirements and fully understand the vision of building a multi-platform AI Virtual Assistant with a unified orchestrator and dynamic personas. I have 10+ years of experience in AI/LLM integrations, including OpenAI, Gemini, LangChain, and custom chatbot systems. I can develop a lightweight, embeddable React-based widget (script tag integration) with a sleek UI aligned to your branding (Inter font, #0066FF, rounded design). On the backend, I will implement an orchestrator architecture using Node.js with LangChain to route queries across multiple LLMs, ensuring accurate, grounded responses while maintaining persona-specific behavior for each platform. The system will be optimized for low latency and cost efficiency through smart caching, prompt design, and model selection. I WILL PROVIDE 2 YEARS OF FREE ONGOING SUPPORT AND COMPLETE SOURCE CODE, WE WILL WORK WITH AGILE METHODOLOGY AND WILL GIVE YOU ASSISTANCE FROM ZERO TO DEPLOYMENT. I eagerly await your positive response. Thanks

@planDapps

THREE PLATFORMS, ONE ORCHESTRATOR PERSONA BLEED IS THE RISK TO SOLVE FIRST A unified backend serving three distinct AI personas needs strict context isolation at the routing layer. Without prompt boundary enforcement per platform, ProximaRide answers study questions and Canadian Exports gives ride pricing. That's a LangChain chain design problem, not a UI problem. Our build: Embeddable widget lightweight vanilla JS wrapper around a React core, injected via single script tag, branded per your specs (Inter, #0066FF, 12px corners), zero style conflicts with host sites Node.js orchestrator LangChain based routing layer, platform detected persona activation, OpenAI + Gemini cross referencing for accuracy validation, response caching to reduce per call costs Prompt engineering persona locked system prompts per platform, guardrails against off persona responses, engineered for scam free community advice 12+ years building custom software and API integrations in-house. LLM orchestration, widget, and prompt architecture owned by one team no prompt engineer handing a spec to a backend developer who's never read it. For cost efficiency: Gemini Flash as primary responder, GPT 4o for cross reference validation only when confidence threshold isn't met. Cuts per query cost significantly. Are the three platforms on separate domains, or subdomains and should the widget pull live content from each site to ground its responses? Let's scope the orchestrator. Regards, Haider

@khurshid040462

Hello, I’m excited about your project to build a custom AI Virtual Assistant for ProximaRide, Proxima Study, and Canadian Exports. With over five years of experience in developing sophisticated AI solutions, I have worked extensively with the OpenAI and Gemini APIs, utilizing frameworks like LangChain to create engaging chat experiences. For your virtual assistant, I propose building a flexible React or Vue widget that easily integrates into your platforms. The AI will leverage multiple LLMs for maximum accuracy and tailored responses while maintaining your branding guidelines. One improvement idea is to implement dynamic persona switching to enhance user engagement based on the specific platform context. In my previous project, I developed a similar chatbot for an educational platform, which successfully increased user interaction by 30%. I estimate this project will take about 4-6 weeks to complete. Regards, Khurshid Ahmed

@WebTechDesignBG

Woah Hello, I see you're looking to create a custom AI Virtual Assistant for your platforms: ProximaRide, Proxima Study, and Canadian Exports. You want a sleek chat widget that can adapt its persona based on the site it's on, while also ensuring accurate and reliable information from various language models like Gemini and GPT. With 7+ years of experience in AI development and a strong background with OpenAI and LangChain, I can build a responsive widget using React or Vue that aligns with your brand’s design. My expertise in prompt engineering will help maintain the assistant's character across different platforms, ensuring users receive tailored, helpful responses. I’m excited about the potential of this project and how it can serve your community. Best regards, Ivan Mandinski

@seefattechnologi

YES---------READY to get started on this as per the given specifications----------Please come over on chat for the quick discussion . Provide to you full satisfaction with my work. .I recommend frontend react and backend Node.js I have 7 years of experience as a PHP/Full stack developer . I am expertise in web designing , Laravel, CSS/CSS3, HTML/HTML5, angular, react, PHP, WOO-Commerce, WordPress, Shopify ,MySQL, JavaScript, plugin installation etc. Thanks !

@vashishtrupinder

Hello, Thank you for sharing your detailed project. I can develop a sleek, responsive AI Virtual Assistant embedded as a floating widget using React or Vue, aligned with your branding. The backend "Orchestrator" will intelligently manage multiple personas across ProximaRide, Proxima Study, and Canadian Exports, leveraging OpenAI, Google Gemini APIs, and LangChain for accurate, scam-free responses. I’ve built custom chatbots and widgets for various platforms—happy to share examples. For optimal speed and cost-efficiency, I recommend a serverless architecture with optimized API calls, caching, and load balancing. This approach ensures quick responses and scalable performance.

@Rekhathakur

As an AI specialist with extensive experience in OpenAI, Google Gemini API, and LangChain, my team at WellSpring Infotech can fulfill all your project requirements. We've built sophisticated chatbots and widgets before, some of which I would love to showcase to you. With our in-depth knowledge of React and Vue.js, we're well-equipped to create a floating widget for your platforms that's not only responsive but also integrates seamlessly via a script tag. In terms of the 'stack' that we recommend, we believe Node.js and Python are an ideal combination for building such a high-performance system whilst keeping the response time fast and costs low. On top of this, we have mastered Prompt Engineering which is exactly what you’re looking for with ensuring that each Persona stays true to its branding. We even breathe scalability into our designs by deploying them via Docker and AWS so that they're ready to handle any sudden spikes in traffic. Our dedication to quality, scalability, and security resonates perfectly with your needs. Let's discuss further on how we can bring your vision of Proxima Ride, Proxima Study, and Canadian Exports' virtual assistant to life!!! Thank you!!!

@mubeenm5026

With a solid decade's experience, Web Crest and I undoubtedly possess the skills, expertise, and capacity to construct an extraordinary AI Virtual Assistant tailored specifically for your trio of websites - ProximaRide, Proxima Study, and Canadian Exports. We have significant experience in AI and Automation, enabling us to proficiently use OpenAI API, Google Gemini API, LangChain or other relevant frameworks. Additionally, our adeptness in Node.js and Python gives us the capability to build the responses stack in a manner that upholds minimal response time while keeping costs low. Furthermore, promoting accuracy is a priority for me and my team. We understand the importance of avoiding vague or misleading information through prompt engineering tailored towards brand essence and intent. This proficiency of ours would be vital in ensuring each platform gets its personalized response. Our projects are not built just to look good but ultimately to perform exceedingly well. We can assure you a sleek yet practical design across all three websites by incorporating Inter font, #0066FF color with 12px corners chat widget positioned at the bottom right for ease of access. We also deeply appreciate your consideration of user experience by insisting on a responsive "floating" widget which can be easily embedded via script tag- believe me when I say none of these specifics are lost on us.

@umer6316326

Hi, I have thoroughly reviewed your project requirements for a custom AI Virtual Assistant across your three platforms, ProximaRide, Proxima Study, and Canadian Exports. I am writing this bid myself and am confident I can craft a sophisticated, branded assistant that meets your vision. With extensive experience in OpenAI API, Google Gemini API, LangChain, and React, I will build a responsive floating widget with seamless persona switching and integrated multi-LLM cross-referencing for accuracy and scam-free advice. I propose to start with a detailed tech stack alignment and a prototype within two weeks, aiming for a streamlined final delivery in 30 days. Which platform among the three do you anticipate will have the highest user interaction, and how do you envision the AI's responses differing per persona to maintain their unique brand voice? Thanks,

@Apurva510

Hello, I am an AI/ML Engineer with 5+ years of experience building AI-driven solutions, including AI chatbots, AI agents, LLM-powered applications with RAG, and workflow automation systems. I specialize in Python, NLP, LLMs (OpenAI, Hugging Face, Llama), RAG systems, and AI automation using tools like n8n and serverless cloud infrastructure. I build end-to-end AI systems — from data processing and model development to API deployment and automation workflows. I can help you with: - AI Chatbots and AI Agents - LLM Applications with RAG - AI Automation and Workflow Optimization - NLP and Data Extraction - End-to-end AI system deployment I focus on building practical, production-ready AI solutions that automate processes and improve business efficiency. I would be happy to discuss your project requirements and see how I can help. Thank you.

@teodorgeorge

Hello, I can build a custom AI Virtual Assistant for your three platforms aligning with your vision of a sleek chat widget and unified backend. My experience with OpenAI API, Google Gemini API, and LangChain will help create an accurate assistant that cross-references multiple LLMs to provide reliable advice. I'll develop a responsive floating widget in React following your branding requirements and apply prompt engineering to keep the AI in character for each brand. This approach ensures a smooth user experience while optimizing response time and costs. Thanks, Teo

@iosifpeterfi

I'm Iosif Peterfi, 15+ years of delivering secure, scalable tech solutions across web, automation, and cloud. This is my speciality: building branded AI assistant ecosystems that reliably stay in character, cross-validate across models, and protect users with clear risk controls. You're looking for a three-site AI chat with a bottom-right widget, a unified orchestrator that activates three personas per site, cross-LLM grounding for accurate, scam-free advice, and a design that matches your branding, all delivered via an embeddable script. I'll deliver a lightweight, responsive widget, a central orchestrator that routes to the right persona, brand-specific prompts, and a simple monitoring layer to keep responses on-brand and safe, with fast, predictable costs. A recent project for a multi-brand education platform required a branded AI chat across two micro-sites, navigating brand voices and safety rules. We reduced support loads by a third and lifted user trust scores within two months. Let's chat - I can walk you through my approach in 15 minutes.

@ShaikhAneesa

Hi there, I’ve carefully reviewed your vision and understand you’re looking to build a sophisticated AI assistant with a unified backend orchestrator, multiple personas, and a sleek embedded chat widget across your three platforms. My approach begins with designing a modular backend using Node.js or Python (with LangChain) that acts as the orchestrator. It will intelligently route queries based on the active website, apply persona-specific prompt engineering, and optionally cross-reference multiple LLMs (GPT, Gemini) for more grounded and reliable responses while optimizing for latency and cost. On the frontend, I will build a lightweight React-based floating widget that can be embedded via a simple script tag. It will follow your branding (Inter font, #0066FF, 12px radius) and include prompt suggestions like “Ask” or “Try” to guide user interaction and improve engagement. I’ve previously built AI chat assistants for lead generation and support, integrating APIs, handling multi-context conversations, and reducing response times through smart caching and request handling. I can share examples and walk you through architecture decisions during our discussion. Recommended stack: Node.js + LangChain + OpenAI/Gemini APIs + Redis (for caching) + React widget for speed and scalability. Do you want the assistant to maintain shared memory across all three platforms, or keep each brand’s conversations fully isolated? Let's chat and get started now! Warm regards, Aneesa.

@ixorawebmob

Hello, I’ve gone through your project details, and this is something I can definitely help you with. I have 10+ years of experience in AI development and website design, specifically working with OpenAI and various LLMs including Gemini. I focus on crafting scalable and responsive solutions, ensuring a seamless user experience that aligns with your brand. For your project, I would recommend building a floating chat widget using React, which allows for easy embedding and a smooth user interaction. Leveraging LangChain for seamless orchestration between the AI and your three platforms will enhance response times and provide accurate, personalized advice through effective prompt engineering. Here is my portfolio: https://www.freelancer.in/u/ixorawebmob I’m interested in your project and would love to understand more details to ensure the best approach. Could you clarify: Which "stack" do you envision using to keep the response time fast and the costs low? Let’s discuss over chat! Regards, Arpit Jaiswal

@Ekarthaan

Hi Amad E., This is quite similar to a project I delivered last week, so I can jump straight into execution. Ready to start immediately. 1) What are the exact knowledge sources per site (URLs to crawl, PDFs, DBs/APIs), and do you need live web search or scheduled sync? 2) What are target latency and budget per 1k chats, and any hosting preference (AWS/GCP/Vercel) to size models and caching? Suggestions: 1) Add a RAG layer with nightly crawl + pgvector so answers are grounded with citations, cutting hallucinations. 2) Use a cost-aware router that prefers fast/cheap models, caches with Redis, and falls back to a second model on low confidence. Approach - Phase 1: Scope personas, intents, KPIs; confirm branding (Inter, #0066FF, 12px corners) and tone per site. - Phase 2: Build a React floating widget (iframe + script-tag embed), responsive, with prompt buttons and analytics. - Phase 3: Orchestrator with LangGraph: site-aware persona, tools (RAG, search, calculators), multi-LLM routing (GPT-4o-mini/4o and Gemini 1.5 Flash/Pro). - Phase 4: Grounding: crawl/sync content, chunking, embeddings, eval set, citations. - Phase 5: Guardrails: prompt hardening, safety filters, PII redaction, tests Best Regards, Sid