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🤖 AI Workflow Integration

What is it?​

AI integration is not just about "plugging in GPT".
It's about:

  • building working scenarios,
  • creating reliable agents,
  • embedding AI into daily processes so that it truly helps.

I help you do this without cloud risks and with respect for privacy:

  • I use local LLMs (Mistral, DeepSeek, LLaMA, Phi, Codellama),
  • I work on your infrastructure or help you set it up.

When do you need it?​

  • You want to automate routine and eliminate repetitive actions
  • You need to speed up analytics, documentation, planning, or support
  • You need to integrate AI into existing business processes
  • It's important to keep control over data and not send it to the cloud
  • You want to build your own AI agents tailored to your domain

What I do​

  • Analyze current processes and identify where AI can help
  • Design AI pipelines: from task → through agent → to result
  • Write agents in Python / Bash / Go, set up web interfaces and console scripts
  • Integrate with familiar tools: Telegram, Notion, Excel, Google Docs
  • Set up local LLMs (Mistral, DeepSeek, LLama, etc.) on your machine or local network
  • Develop clear chat interfaces or forms so employees can simply "ask" and get results
  • Apply Prompt Engineering and create templates for your business
  • Set up RAG (Retrieval-Augmented Generation) pipelines
  • Help adapt the model to your context and input

What you get​

  • Ready-to-use AI agents with a simple interface:
    • Web interface, Telegram bot, local form, or chat window
  • Automated scenarios: planning, data analysis, documentation generation
  • Integration with your documents and data (Excel, text files, Google Docs)
  • Private AI infrastructure that works on your computer or server
  • Documentation and instructions: how to use, adapt, and scale
  • Consulting and support for system expansion

Work format​

  • from 2 weeks — for basic integration and agent setup
  • Joint sessions: define scenarios, build the pipeline
  • Further: train your team, scale, support

For whom​

  • For companies that want AI but are not ready to share data with OpenAI
  • For teams that are tired of routine and want to automate
  • For architects and analysts who need a smart assistant
  • For startups that want to embed AI in the product from the start

Result​

✅ You will have:

  • A working system with AI agents embedded in real processes
  • Full control over code, data, and logic
  • Private AI without cloud dependency
  • Understanding of how it works and how to develop it further

This is not magic. This is engineering.
And I'll help you make it your own.