Get a fully functional AI chatbot — FAQ bot, document Q&A, lead-gen or customer support — built with RAG, LLM integration and source code handed over, ready to deploy on your website or app.
I Will Build a Custom AI Chatbot for Your Website or App
A focused MVP AI chatbot — ideal for FAQ, knowledge-base or simple Q&A use cases.
- AI LLM model integration (OpenAI, DeepSeek or Claude)
- Retrieval-Augmented Generation (RAG) trained on your content
- Pre-set conversational journey (up to 10 intents)
- User authentication included
- Multi-language support
- Full source code handover
A fuller chatbot build with CRM or database integration — suited to lead-gen, support or e-commerce bots.
- Everything in Starter, expanded to more complex conversational flows
- CRM or database integration (up to 2 endpoints)
- Deployment to website, mobile app or messaging platform (WhatsApp or Facebook Messenger)
- Extended RAG pipeline supporting larger document sets
- Multi-language support with locale-aware responses
- Full source code handover with documentation notes
End-to-end AI chatbot platform — multi-channel, CRM-connected, deeply customised and production-ready.
- Everything in Professional, built for production scale
- CRM and database integration with up to 5 endpoints and custom data mapping
- Multi-channel deployment (website + mobile app + WhatsApp or Facebook Messenger)
- Custom LLM fine-tuning or advanced RAG pipeline on your proprietary dataset
- Document Q&A module for private business documents (no third-party data exposure)
- Full source code, architecture notes and post-delivery support window via order chat
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Key details about this service to help you decide. Generated by Zinn Hub, not the seller.
Value Position
AI Stack
Deployment Targets
Delivery & Revisions
Source Code Included
What You'll Receive
Full Description
Your customers expect instant, intelligent answers around the clock. A custom AI chatbot delivers exactly that — reducing support load, capturing leads, and guiding visitors through decisions without a human in the loop. This listing is for businesses and developers who want a production-ready chatbot built properly, not a no-code widget bolted on.
With 5+ years of experience building scalable AI-powered applications from London, this team has delivered chatbots across real estate, e-commerce, hospitality, healthcare, travel and more. Every chatbot is built on proven AI infrastructure — OpenAI, DeepSeek, Claude, LangChain and custom-trained LLMs — giving you genuine flexibility on the model that powers your product.
WHAT YOU CAN GET BUILT
The three packages cover the full journey from a focused MVP chatbot through to a CRM-connected, multi-platform AI assistant. Common chatbot types include:
— FAQ and knowledge-base bots trained on your own data
— Document Q&A bots for private business documents (no third-party data exposure)
— Lead generation and survey bots
— Customer support bots
— E-commerce, restaurant, real estate and travel bots
— Conversational agents integrated with Facebook Messenger, WhatsApp, websites or mobile apps
EVERY BUILD INCLUDES
All packages include LLM model integration, Retrieval-Augmented Generation (RAG) so the bot answers from your actual content, a pre-set conversational journey, user authentication, multi-language support and full source code handover. You own what is built.
HOW IT WORKS
1. You share your project brief after purchase (or book a consultation beforehand — highly recommended for complex requirements).
2. The team reviews scope and confirms the approach via order chat within one business day.
3. Build begins. You receive updates and can review progress.
4. Revisions are applied per your package, then final deliverables are handed over with source code and deployment guidance.
WHO THIS IS FOR
This service suits startups wanting an AI-first product, SMEs looking to automate customer support, SaaS founders adding a chat layer, and developers who need a reliable AI integration partner. Whether your stack is web, mobile or desktop, the team has built on all three.
AI MODELS AND FRAMEWORKS USED
OpenAI (GPT-4 / ChatGPT), DeepSeek, Anthropic Claude, LangChain, custom LLM fine-tuning and RAG pipelines. Integrations span websites, mobile apps, WhatsApp, Facebook Messenger and desktop applications.
Discussing your project before ordering is strongly encouraged — it ensures the right package is selected and that delivery timelines are accurate for your scope.
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Compare Packages
| Feature | Starter | Professional | Enterprise |
|---|---|---|---|
| Delivery Time | 10 days | 18 days | 35 days |
| Revisions | 1 | 2 | unlimited |
| AI LLM model integration (OpenAI, DeepSeek or Claude) | ✓ | ✕ | ✕ |
| Retrieval-Augmented Generation (RAG) trained on your content | ✓ | ✕ | ✕ |
| Pre-set conversational journey (up to 10 intents) | ✓ | ✕ | ✕ |
| User authentication included | ✓ | ✕ | ✕ |
| Multi-language support | ✓ | ✕ | ✕ |
| Full source code handover | ✓ | ✕ | ✕ |
| Everything in Starter, expanded to more complex conversational flows | ✕ | ✓ | ✕ |
| CRM or database integration (up to 2 endpoints) | ✕ | ✓ | ✕ |
| Deployment to website, mobile app or messaging platform (WhatsApp or Facebook Messenger) | ✕ | ✓ | ✕ |
| Extended RAG pipeline supporting larger document sets | ✕ | ✓ | ✕ |
| Multi-language support with locale-aware responses | ✕ | ✓ | ✕ |
| Full source code handover with documentation notes | ✕ | ✓ | ✕ |
| Everything in Professional, built for production scale | ✕ | ✕ | ✓ |
| CRM and database integration with up to 5 endpoints and custom data mapping | ✕ | ✕ | ✓ |
| Multi-channel deployment (website + mobile app + WhatsApp or Facebook Messenger) | ✕ | ✕ | ✓ |
| Custom LLM fine-tuning or advanced RAG pipeline on your proprietary dataset | ✕ | ✕ | ✓ |
| Document Q&A module for private business documents (no third-party data exposure) | ✕ | ✕ | ✓ |
| Full source code, architecture notes and post-delivery support window via order chat | ✕ | ✕ | ✓ |
Portfolio
Examples of the seller's work related to this Zinn.
Build a Custom AI Chatbot, App or SaaS Platform
Build a Custom AI Chatbot, App or SaaS Platform
Build a Custom AI Chatbot for Your Website or App
Build a Custom AI Chatbot for Your Website or App
Extra Information
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Frequently Asked Questions
Yes — it is strongly recommended. Chatbot scope varies enormously depending on the number of intents, data sources, integrations and target platform. A quick conversation in the inbox ensures the right package is selected and that the delivery timeline is realistic for your project. You can also book a consultation call from the seller's profile page.
You will need to share: (1) a description of the chatbot's purpose and target users, (2) the platform it will live on (website, mobile app, WhatsApp, etc.), (3) any data sources or documents it should be trained on (FAQs, PDFs, knowledge bases), and (4) your preferred LLM (OpenAI, DeepSeek, Claude or open to recommendation). The more detail you provide, the smoother the build.
Yes. Using Retrieval-Augmented Generation (RAG), the chatbot can be built to answer questions drawn exclusively from documents you provide — such as internal PDFs, manuals or knowledge bases. For clients who need to keep data private, the architecture can be set up so documents are not sent to any third-party API.
The team builds on OpenAI (including GPT-4 / ChatGPT), DeepSeek, Anthropic Claude and other LLMs as required. LangChain is used for orchestration and RAG pipelines. Custom LLM fine-tuning on proprietary datasets is available on the Enterprise package.
Yes. The chatbot can be integrated into a new or already-built web or mobile application. The Professional and Enterprise packages include deployment to a target platform as standard. If you have a specific stack (React, Next.js, Flutter, etc.) please mention it when sharing your requirements.
Yes. Full source code is included in every package. On the Enterprise package, architecture notes are also provided to help your team maintain and extend the codebase after handover.
Starter includes 1 revision, Professional includes 2, and Enterprise includes unlimited revisions. A revision is a round of changes based on feedback — for example, adjusting conversation flows, modifying responses, or tweaking UI elements. New features or significant scope changes are treated as separate additions.
Yes. The team has 5+ years of experience building end-to-end AI-powered web applications, mobile apps and SaaS platforms. If your project extends beyond the chatbot scope described here, please get in touch via the inbox to discuss a custom arrangement.
Customer Reviews
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Great app!
Did a great job, very responsive and really wanted to build a future relationship. Would work with again.
Great job!
He was amazing, I would highly recommend him, he helps you with whatever you need.
Another great delivery of service from Muhammed and his team. I love working with them, they show proactiveness and communicate quickly.
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