SaaS Platform
Hair Babes Content Club
A membership SaaS for hairstylists that brings content libraries, monthly drops, a content calendar and Instagram insights into one member dashboard.
Next.js · React · Node.js · Express · MongoDB
AI Integration
AI integration that makes your product smarter.
AI is most valuable when it is quietly built into a workflow people already use: drafting a reply, summarising a document, pulling data out of a form, or answering a customer at any hour. I add these features to existing web applications without a rebuild, and with the same engineering standards as the rest of your product.
I work across the major model providers, including OpenAI, Anthropic Claude, Google Gemini and xAI Grok, and choose the right model for each task on quality, speed and cost. The work goes well beyond calling an API: prompt design, grounding answers in your own data, streaming responses, handling failures and keeping costs predictable as usage grows.
Overview
Practical AI, built into the product you already have.
- Experience
- 8+ years · 100+ projects delivered
- Tech stack
- OpenAI, Claude, Gemini, Grok, Higgsfield
- Pricing
- Fixed price or hourly
- Response time
- Within 1 hour · remote, worldwide
What's Included
What's included in my AI Integration service.
OpenAI, Claude and Gemini features added to your existing app: AI chat, content and media generation, data extraction and voice, with cost and quality under control.
01
AI chat & assistants
In-app assistants with streaming replies and history, able to answer from your own documents using a vector database.
02
Content & media generation
Text generation with large language models, plus AI image and video generation with tools such as Higgsfield.
03
Data extraction & structured output
Turn emails, PDFs and free text into clean, validated data your application can use.
04
Voice AI
Phone and in-app voice assistants built with Vapi, connected to your data and business rules.
05
Multi-model setup
OpenAI, Claude, Gemini and Grok behind one interface, with the best model per task and automatic fallback.
06
Cost & quality controls
Caching, token limits, moderation, test prompts and monitoring, so AI stays reliable and affordable.
Is This Right For You?
Who this service is for.
- Products adding AI features for their customers without a rebuild
- Businesses that want an assistant that knows their own documents and data
- Teams whose AI prototype needs to become reliable and production-ready
Technologies I use
- OpenAI
- Claude
- Gemini
- Grok
- Higgsfield
- Vapi
- Vector databases
- Next.js
- Node.js
- Python
Not sure which technology fits? I'll recommend a stack based on your goals, budget and the team that will maintain it after launch.
Related Work
AI Integration projects.
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Diverge GPT
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How We Work Together
A clear process. No surprises.
Every project follows the same simple steps, so you always know what is happening, what it costs and what comes next.
- 01
Discovery call
We talk through your goals, users and constraints. I ask the questions that shape scope, and you leave with a clear recommendation, even if we don't work together.
- 02
Plan & estimate
You receive a written scope with milestones, technology choices, timeline and a fixed price or clear hourly budget. No surprises later.
- 03
Build in the open
Work ships in short milestones to a live staging site, with regular updates, so you see real progress and can steer early.
- 04
Launch & support
I handle deployment, monitoring and handover documentation, then stay available for improvements, fixes and the next phase.
FAQ
AI Integration: frequently asked questions.
Can you add AI to my existing app without rebuilding it?
Yes. AI features are usually added as new API endpoints and interface components alongside your existing code, whether it is built in React, Next.js, Node.js, Laravel or Python.
Which AI model should I use: OpenAI, Claude, Gemini or Grok?
It depends on the task. Some models are stronger at writing, others at reasoning, long documents or speed and price. I test the options on your real data and often use different models for different features, behind one interface so you can switch later.
Can the AI answer questions from my own documents?
Yes. Your documents are split into passages and stored in a vector database, and the most relevant passages are given to the model with each question. Answers are based on your content and can show their sources.
How do you keep AI costs under control?
Through caching repeated requests, choosing the right model for each task, limiting how much text is sent, per-user usage limits and monitoring, so costs stay predictable as usage grows.
Start a Conversation
Ready to start your AI Integration project?
Tell me what you are building. I'll reply within one business day with honest advice on scope, timeline and cost.