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AI Integration
Estimate after a brief — I first review the data, model and quality requirements
Integrating artificial intelligence into your products and processes: chatbots, automation, data processing and content generation.
# what I build
- AI bots based on GPT-4 / Claude / Gemini
- RAG systems: search over your knowledge base
- Text task automation (generation, summarization, classification)
- AI integrations into Telegram bots and web apps
- Voice assistants (Whisper + TTS)
- AI document, PDF and spreadsheet analysis
- Agents and autonomous workflows
stack
OpenAIClaude APILangChainQdrantWhisperPythonFastAPI
# how it works
- 1 Task analysis: what to automate
- 2 Model and architecture selection
- 3 Prompt engineering and testing
- 4 Integration into your product
- 5 Token cost optimization
# FAQ
Q: Which AI models do you use?
GPT-4o, Claude 3.5, Gemini — we choose based on the task, considering token cost and quality.
Q: Is it expensive because of tokens?
We optimize: prompt caching, right model selection, batching. Most projects cost $5–50/month.
Q: Can my data be used as a knowledge base?
Yes — RAG system on your documents, PDFs, spreadsheets. Data is not used for model training.
# related projects
AI Nastaŭnik — AI Assistant Bot for Teachers
A smart assistant for teachers: quickly finds excerpts from laws, orders and methodological guidelines in education.
view casePoker AI Trainer — Poker Learning Bot with AI & Subscriptions
An interactive bot for learning poker: lessons, quizzes and AI-powered game analysis. Payment via Telegram Stars and crypto.
view case