AI integration

I integrate AI into products: assistants built on Claude and OpenAI, speech recognition with Whisper, image analysis and knowledge-base search with embeddings. The AI runs inside your website, bot or internal system.

Discuss your project
Deliverable
An AI feature in your product with cost and quality under control
Stack
  • Claude
  • OpenAI
  • Whisper
  • Embeddings

01Scope

What you get

  • 01Chatbots and assistants on the Claude and OpenAI APIs
  • 02Answers from your documents: RAG and embeddings
  • 03Voice message transcription with Whisper
  • 04Photo and document analysis
  • 05MCP servers that give the model access to your data and tools
  • 06Local models via Ollama when data can’t leave your servers

02Use cases

What it’s for

  • Customer support

    The bot answers common questions from a knowledge base and escalates tricky cases to a human.

  • Voice to text

    Transcripts of voice messages and calls with a short summary.

  • Image analysis

    Recognise dishes, products or documents from a photo.

  • n8n automation

    LLM-powered workflows: request classification, reply drafts, reports.

03Process

How we’ll work

  1. 01

    Brief

    You describe the idea or the problem, I ask questions and suggest a solution.

  2. 02

    Estimate

    I pin down the scope, timeline and cost. Large projects are split into stages.

  3. 03

    Development

    I share progress along the way so feedback comes early, not at the end.

  4. 04

    Launch

    I deploy to a server, connect the domain and payments, and test on real devices.

  5. 05

    Support

    I stay in touch after release for fixes, improvements and new features.

04Cases

Related projects

  1. #00

    Ratsion for MAX

    MAX bot · Website · AI

    A nutrition bot and website for the MAX messenger. It analyses meal photos, counts calories and macros, gives recommendations and a 3-day meal plan, keeps a food diary and manages subscriptions.

    • Python
    • AI photo analysis
    • MAX Bot API
    • Subscriptions

05FAQ

Questions and answers

Which model should I choose?

It depends on the task, budget and data requirements. Claude is strong at complex reasoning and long documents, Whisper handles speech recognition, and local models via Ollama fit when data can’t be sent outside.

How will the bot know about my company?

Your documents are split into chunks and stored as embeddings. For each question the system finds relevant chunks and passes them to the model — that’s RAG. The model answers from your data instead of guessing.

How much does AI usage cost?

Models are billed per token. I estimate usage up front and keep it down with caching, concise prompts, the right model for each task and per-user limits.

How much does it cost and how long will it take?

It depends on the scope. Describe the task on Telegram — after a couple of clarifying questions I’ll give you a price and a timeline. Large projects are split into stages so you see results as we go.

How do we get started?

Message @vozaaz on Telegram: what needs to be built, whether you have a design or examples, and your deadline. If you have a spec, send it over — it speeds up the estimate.

07Contact

Got a task?
Let’s talk.

Tell me what needs to be built, your timeline and budget — I’ll suggest a solution and an estimate.