Blog
AI implementations without the marketing fog
We write about the things clients ask us in the first conversation: what it costs, how long it takes, what the regulations require, how AI agents, RAG and n8n work – and when AI makes no sense. No promises that can't be held to account.
All articles
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What is a prompt and how to write good instructions for AI
- User, system and automation prompts
- What a good prompt is made of
- Ready examples for a small business
- Common mistakes and prompt injection
What is an LLM: a large language model and how it works
- Tokens, context window and next-token prediction
- How a model is built: training and tuning
- GPT, Claude, Gemini, Llama, Bielik – an overview
- Cloud or local model and how to choose
How much an online store costs in 2026
- What goes into the price of a store
- Subscription, open source or custom code
- Hidden costs and the cheapest options
- Sample calculation for a year
AI agent: what it is and how it works in a company
- Agent, chatbot and automation – how they differ
- What an agent is made of: model, tools, knowledge, rules
- Six real use cases in a small company
- Risks and where to start
RAG: what it is and how an AI knowledge base works
- Why the model doesn't know your documents
- How RAG works step by step
- RAG, fine-tuning or pasting into ChatGPT
- Local RAG for sensitive data
n8n: what it is and what it's used for in a company
- Nodes, triggers and self-hosting
- What you can automate in an SME
- n8n and AI: language models and agents
- n8n, Make or Zapier
The AI Act in Poland: who it applies to and what to do
- What took effect on 2 August 2026
- Provider or deployer – who has which obligations
- KRiBSI, regulatory sandboxes and penalty ranges
- The 2 December 2026 deadline for systems already in operation
How much an AI implementation costs for a company
- Project model versus subscription model
- What really drives up the price – and what can be postponed
- Sample calculation with a grant
- How to calculate return on your own numbers
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