Get a fully functional AI microservice or chatbot built with GPT, Gemini, or Vertex AI — including API integration, fine-tuning, and clean source code delivered by an experienced AI engineer based in London.
I Will Build a Custom AI Chatbot or Microservice with Gemini or GPT
A single functional AI microservice with API integration and source code.
- Research into your specific AI use case
- Fine-tuning and prompt engineering
- Full API integration (GPT, Gemini, or equivalent)
- Clean, deployable source code delivered
- Supports chatbot, classification, or model integration builds
- Order-chat support throughout
Everything in Starter, plus data preprocessing and model documentation for a more complete build.
- All Starter deliverables included
- Data preprocessing pipeline for cleaner model inputs
- Model documentation so your team understands the build
- Suitable for more complex integrations or multi-step workflows
- Covers LangChain, Flowise, N8N, Vertex AI and similar orchestration
- Extended delivery window for broader scope
Full-scope AI build with validation, testing, and performance monitoring included.
- All Standard deliverables included
- Model validation and rigorous testing against real-world inputs
- Performance monitoring setup so quality holds post-deployment
- Comprehensive documentation covering architecture and usage
- Ideal for production-ready SaaS features or complex LLM pipelines
- Priority order-chat support with detailed handover
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Key details about this service to help you decide. Generated by Zinn Hub, not the seller.
Value Position
AI Stack
Entry Delivery
Tier Differentiator
Solution Breadth
What You'll Receive
Full Description
Your business deserves AI that actually works — not a template, not a demo, but a production-ready microservice or chatbot built precisely for your use case. Whether you need a conversational AI assistant, a GPT or Gemini-powered API integration, or a custom LLM solution embedded into your existing stack, this service delivers clean, tested, deployable code from an AI engineer with deep hands-on expertise.
Zinn Digital® is a London-based AI and full-stack development studio specialising in large language model (LLM) solutions, AI SaaS applications, and cloud-native AI architectures. Every engagement is collaborative — your goals and context drive the build, not a generic off-the-shelf approach.
**What You Get**
At every tier, the engagement begins with dedicated research into your use case and target environment. This informs the approach taken to fine-tuning, prompt engineering, and model selection — whether that is OpenAI's GPT family, Google Gemini, Vertex AI, Llama 2, or another suitable model. Full API integration is handled end-to-end, and you receive clean, well-structured source code you can deploy, extend, or hand to your own team.
The standard engagement covers a focused AI microservice — a single functional unit such as a chatbot endpoint, a prompt-driven classification service, an AI-powered API call handler, or a model integration layer. The scope scales with your ambitions: larger builds add data preprocessing pipelines (so raw inputs are cleaned and structured before reaching the model), thorough model documentation (so your team understands exactly what was built and why), and full model validation and performance monitoring (so you know the solution holds up under real-world conditions).
**Technologies in Use**
The studio works across the leading AI and cloud ecosystems: OpenAI, Gemini, Vertex AI, Google Cloud Platform, AWS, LangChain, LangFlow, Langfuse, Flowise, N8N, Zapier, TensorFlow, PyTorch, Autogen, Llama 2, and more. No-code orchestration tools are used where they add speed and maintainability; custom code is written where precision matters.
**Who This Is For**
This service is ideal for founders building AI-powered products, technical leads who need a specialist to deliver a specific AI component, businesses automating internal workflows with LLMs, and teams looking to integrate conversational AI into an existing platform. You do not need a technical background to engage — clear communication of your goal is enough to get started.
**How It Works**
Once your order is placed, you will be asked for a brief project overview. The team reviews your requirements, clarifies scope if needed via the order chat, then gets straight to work. Deliverables arrive as source code with any supporting files agreed during scoping. Any questions along the way are handled through the order manager.
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Compare Packages
| Feature | Starter | Standard | Premium |
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 10 days |
| Revisions | 1 | 2 | 3 |
| Research into your specific AI use case | ✓ | ✕ | ✕ |
| Fine-tuning and prompt engineering | ✓ | ✕ | ✕ |
| Full API integration (GPT, Gemini, or equivalent) | ✓ | ✕ | ✕ |
| Clean, deployable source code delivered | ✓ | ✕ | ✕ |
| Supports chatbot, classification, or model integration builds | ✓ | ✕ | ✕ |
| Order-chat support throughout | ✓ | ✕ | ✕ |
| All Starter deliverables included | ✕ | ✓ | ✕ |
| Data preprocessing pipeline for cleaner model inputs | ✕ | ✓ | ✕ |
| Model documentation so your team understands the build | ✕ | ✓ | ✕ |
| Suitable for more complex integrations or multi-step workflows | ✕ | ✓ | ✕ |
| Covers LangChain, Flowise, N8N, Vertex AI and similar orchestration | ✕ | ✓ | ✕ |
| Extended delivery window for broader scope | ✕ | ✓ | ✕ |
| All Standard deliverables included | ✕ | ✕ | ✓ |
| Model validation and rigorous testing against real-world inputs | ✕ | ✕ | ✓ |
| Performance monitoring setup so quality holds post-deployment | ✕ | ✕ | ✓ |
| Comprehensive documentation covering architecture and usage | ✕ | ✕ | ✓ |
| Ideal for production-ready SaaS features or complex LLM pipelines | ✕ | ✕ | ✓ |
| Priority order-chat support with detailed handover | ✕ | ✕ | ✓ |
Portfolio
Examples of the seller's work related to this Zinn.
Build a Custom AI Chatbot or Microservice with Gemini or GPT
Build a Custom AI Chatbot or Microservice with Gemini or GPT
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Frequently Asked Questions
A clear description of what you want the AI to do is enough to begin. For example: the type of input it will receive, the output you expect, the platform or language it needs to integrate with, and any model preference you have (GPT, Gemini, Llama 2, etc.). If more detail is needed, the team will follow up via the order chat before work begins.
The studio works with OpenAI (GPT-3.5, GPT-4 and variants), Google Gemini, Vertex AI, Llama 2, LangChain, LangFlow, Flowise, N8N, Zapier, TensorFlow, PyTorch, and both Google Cloud Platform and AWS. If you have a specific model or cloud environment in mind, mention it in your project brief.
An AI microservice is a self-contained, deployable unit of AI functionality — for example, a chatbot endpoint, a prompt-driven API, a document-classification service, or a model integration layer that your wider application can call. It is production-grade code you can plug into an existing system or launch as a standalone feature.
The Starter tier delivers a focused, functional AI microservice with API integration and source code in two days. The Standard tier adds data preprocessing and model documentation for more complex builds. The Premium tier adds model validation, testing, and performance monitoring — everything needed for a robust, production-ready deployment.
For most builds, yes — you will need your own OpenAI, Google Cloud, or relevant API credentials so the integration is tied to your account and billing. If you are unsure what is needed, mention this in your project brief and the team will advise before work starts.
Revisions cover adjustments to the delivered scope — for instance, tweaking prompt behaviour, adjusting API response handling, or correcting anything that does not match the agreed brief. They do not cover new features or significant scope changes beyond what was originally specified.
This service focuses on AI microservices and chatbot components rather than an entire SaaS application in a single order. That said, larger or multi-component projects can be discussed — reach out via the order chat after purchase or contact the seller before ordering to discuss a custom scope.
Deliverables are typically provided as source code files (Python, Node.js, or the relevant language for your stack), shared via a cloud link or the order manager. For Premium tier engagements, documentation is included as a written report alongside the code.
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