Custom GPT & LLM Integration

OpenAI & Claude integration
wired straight into your product

Custom GPTs, prompt engineering, and chatbot interfaces that plug directly into your existing app, website, or CRM, not a bolt-on widget, a properly integrated feature.

What We Build

LLM integration that fits your
product, not a generic chatbot.

Whether it's OpenAI, Claude, or an open-source model, the integration is built around your actual product flow, data, and brand voice, not a copy-pasted widget.

Why It Matters

A chatbot widget isn't the same as a properly integrated AI feature

Bolting on a generic chat widget is fast, but it rarely matches your brand, data, or actual user flow. We integrate the model into your product the way any other core feature would be built.

Native Product Integration

Built into your existing frontend and backend, not an embedded third-party script that breaks your design.

On-Brand Prompt Design

Prompts engineered and tested for your tone, domain, and edge cases, not a default system prompt.

Cost-Aware Architecture

Token usage, caching, and model selection designed so AI features don't quietly drain your budget.

Full Code Ownership

Integration code, prompts, and configuration belong to you, switch providers any time without rebuilding.

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5-star Upwork rating, 40+ systems shipped
LLM integration into a software product
40+ Systems Shipped
9+ Years in Software
OpenAI, Claude, Zoho, LangChain
How It Works

From prompt draft to a live integration in 4 stages

Every LLM integration follows the same process, because consistent output comes from disciplined prompt design, not luck.

Prompt engineering and LLM integration process
Our Integration Flow

Design, Prompt, Integrate, Tune

01
Use Case & Model Selection

Define the feature and pick the right model

We map the exact use case and choose between OpenAI, Claude, or other models based on cost, quality, and latency needs.

02
Prompt Engineering

Design and test prompts systematically

Prompt drafts tested against real inputs and edge cases until outputs are consistent and on-brand.

03
Integration

Build the feature into your product

API integration, streaming, structured outputs, and UI built natively into your existing app or CRM.

04
Tune & Launch

Tune cost and quality, then ship

Token usage and response quality tuned before launch, with monitoring in place to catch drift after.

Custom-Built ChatGPT & LLM Integration, Frequently Asked Questions

Answers to the questions US & UK clients ask us most.

What does a “custom-built ChatGPT” mean for my business?

A custom-built ChatGPT is a chat assistant trained on your tone, rules, and data and wired into your product, website, or CRM. Unlike the public ChatGPT, it answers only from your approved information, follows your brand voice, and can trigger actions in your systems.

Can you integrate ChatGPT or Claude into our existing app or CRM?

Yes. We provide ChatGPT integration and Claude integration services that connect to your existing app, website, Slack, or CRM through secure APIs, no rebuild required. We handle prompt engineering, context handling, and the chat interface.

Will our custom ChatGPT answer only from our own data?

Yes, by pairing the LLM with a retrieval (RAG) layer, your custom ChatGPT draws answers from your documents and database, with citations, instead of generic internet knowledge. This keeps responses accurate and prevents off-topic or made-up answers.

How much does a custom ChatGPT integration cost?

Pricing is fixed-scope based on the integrations, data sources, and interface you need. A focused ChatGPT integration is an affordable, fast project; larger multi-system builds are quoted up front. Contact us for a free, no-obligation estimate.

Which is better for my use case, OpenAI GPT or Anthropic Claude?

It depends on the task. OpenAI GPT models are strong all-rounders with broad tooling; Anthropic Claude often excels at long documents, careful reasoning, and safety-sensitive work. We help you choose, and many of our builds use both, routing each request to the best model.

Let's Build

Ready to wire AI directly into your product, the right way?

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