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Practical writing on AI, automation and software development. From projects, not theory.

GEO: how to get recommended by ChatGPT, Perplexity and Google AI

Websites and e-commerce · November 6, 2026

GEO: how to get recommended by ChatGPT, Perplexity and Google AI

Generative Engine Optimization in practice: how to make your company appear in AI assistant answers. Content structure, llms.txt, schema, citations and speed.

What is RAG and how does it work: a guide for companies that want AI over their documents

RAG and knowledge bases · November 4, 2026

What is RAG and how does it work: a guide for companies that want AI over their documents

RAG (Retrieval Augmented Generation) explained simply: how AI answers from your company documents, why it does not make things up, what vectorization is and what it costs.

How we built an AI assistant for tax and legal regulations

Case studies · November 2, 2026

How we built an AI assistant for tax and legal regulations

Case study: a RAG system over a huge regulatory database for a large consultancy. Architecture, challenges, phases and results: MVP in 2 months, full system in 5.

How much does a custom app cost in 2026

Software development · October 31, 2026

How much does a custom app cost in 2026

Realistic price ranges for web and mobile apps, MVPs and SaaS platforms, what drives the price and how to get an accurate estimate without surprises.

RAG or fine-tuning: how to make AI really know your company

RAG and knowledge bases · October 28, 2026

RAG or fine-tuning: how to make AI really know your company

When to use RAG, when fine-tuning and when both. A comparison by accuracy, cost, freshness, security and time to implement.

12 processes every company can automate with AI this month

Automation · October 24, 2026

12 processes every company can automate with AI this month

A concrete list of processes for AI automation: invoices, email, quotes, CRM, reporting, HR, support and content, with savings potential and difficulty.

How to build an AI assistant over your company documents: 7 steps

RAG and knowledge bases · October 21, 2026

How to build an AI assistant over your company documents: 7 steps

A practical plan for introducing a private AI assistant (RAG): from choosing documents and preparing data to measuring accuracy, permissions and going live.

Automated invoice processing with AI and OCR: how it works and what it saves

Automation · October 17, 2026

Automated invoice processing with AI and OCR: how it works and what it saves

How AI reads incoming invoices, extracts data, validates it and enters it into your ERP. Accuracy, controls, integrations and realistic savings for accounting teams.

Vector databases explained: pgvector, Qdrant, Pinecone and what to choose

RAG and knowledge bases · October 14, 2026

Vector databases explained: pgvector, Qdrant, Pinecone and what to choose

What a vector database is, how semantic search works and how to choose between pgvector, Qdrant, Pinecone, Weaviate and Chroma for a RAG project.

An AI chatbot for your website: how to make it bring leads, not frustration

Automation · October 10, 2026

An AI chatbot for your website: how to make it bring leads, not frustration

What separates a good AI chatbot from a bad one: product knowledge, clear handover to a human, lead capture and measurement. Examples, costs and rollout tips.

Local AI (LLM) for companies: when it pays off and what hardware you need

Artificial intelligence · October 8, 2026

Local AI (LLM) for companies: when it pays off and what hardware you need

When a company needs an AI model on its own server, which open models are good enough, how much VRAM you need and how local AI compares with cloud APIs on cost.

An MVP in 6 weeks: how we plan and ship a product's first version

Software development · October 6, 2026

An MVP in 6 weeks: how we plan and ship a product's first version

Week by week: workshop, prototype, development, testing and launch of an MVP. How we decide what goes into version one and how we measure success.

n8n, Make, Zapier or a custom integration: what to choose for automation

Automation · October 3, 2026

n8n, Make, Zapier or a custom integration: what to choose for automation

A comparison of automation tools: price, flexibility, privacy, AI capabilities and when it is better to build a custom integration.

IT infrastructure maintenance: a checklist for small and mid-sized companies

IT infrastructure · October 1, 2026

IT infrastructure maintenance: a checklist for small and mid-sized companies

Daily, weekly, monthly and yearly IT checks: backups, updates, security, accounts, network and documentation. A practical list for companies with 5 to 200 employees.

AI agents in 2026: what they can really do and where they still fail

Artificial intelligence · September 30, 2026

AI agents in 2026: what they can really do and where they still fail

A realistic look at AI agents for business: which tasks they handle reliably, where the risks are, how to design controls and what rolling out an agent looks like.

Next.js or WordPress for a business website: which to choose

Websites and e-commerce · September 27, 2026

Next.js or WordPress for a business website: which to choose

Next.js vs WordPress compared on speed, SEO, security, cost, content editing and maintenance. When each one is the better choice.

How much does AI automation cost and how to calculate ROI

Automation · September 24, 2026

How much does AI automation cost and how to calculate ROI

What makes up the price of AI automation, the monthly cost of models and how to calculate ROI and payback period with a real-world example.

Multilingual websites and SEO: hreflang, multiple scripts and mistakes that cost rankings

Websites and e-commerce · September 20, 2026

Multilingual websites and SEO: hreflang, multiple scripts and mistakes that cost rankings

How to build a multilingual website Google indexes correctly: URL structure, hreflang, x-default, Cyrillic and Latin versions, translations and sitemaps.

Data security and AI: what every company needs to know

Artificial intelligence · September 17, 2026

Data security and AI: what every company needs to know

How to use ChatGPT, Claude and other AI tools without leaking business data: business agreements, GDPR, permissions, local models and internal policies.

Shadow AI: the risk when employees use ChatGPT on their own

Artificial intelligence · September 10, 2026

Shadow AI: the risk when employees use ChatGPT on their own

Shadow AI is the use of AI tools without the company's knowledge. The risks for data, costs and quality, and how to replace it with a controlled AI workspace.

How to choose an AI model: GPT, Claude, Gemini, DeepSeek or open models

Artificial intelligence · September 3, 2026

How to choose an AI model: GPT, Claude, Gemini, DeepSeek or open models

A practical guide to choosing an AI model for business tasks: quality, speed, price, language support, privacy and why using several models is best.

How much can AI help developers: ChatGPT, Claude and Copilot in daily work

Artificial intelligence · October 9, 2025

How much can AI help developers: ChatGPT, Claude and Copilot in daily work

How AI tools speed up software development, where they really save time, where they fail and how to roll them out safely across a team.

How to keep code clean and scalable for years

Software development · October 9, 2025

How to keep code clean and scalable for years

Long-term software health depends on discipline: standards, code review, tests, modularity and documentation. The practices we use on multi-year projects.

EU vs US clients: work culture differences outsourcing teams need to know

Software development · October 9, 2025

EU vs US clients: work culture differences outsourcing teams need to know

How EU and US clients approach working with development teams differently: documentation, speed, communication and expectations, with practical tips.

Laravel vs Node.js for SaaS: how to choose for faster growth

Software development · October 9, 2025

Laravel vs Node.js for SaaS: how to choose for faster growth

A practical guide to choosing a SaaS backend: when Laravel wins, when Node.js wins and when to combine them. Lessons from Webinars.rs and Intrascope.

10 common web project mistakes and how to avoid them

Websites and e-commerce · October 9, 2025

10 common web project mistakes and how to avoid them

From poor planning to weak communication: ten mistakes that wreck web project timelines and budgets, and concrete tips to avoid them.

An AI agent in IT support: does it really take pressure off the team?

Automation · October 8, 2025

An AI agent in IT support: does it really take pressure off the team?

What an AI agent can solve in IT support, where you still need people and the results we saw: 42% of tickets resolved automatically, response time from 12 to 2 minutes.

How AI is changing the way we build software

Artificial intelligence · October 8, 2025

How AI is changing the way we build software

AI is no longer just an assistant but a member of the development team. How speed, quality and the developer's role are changing, and what it means for companies that commission software.

The real value of DevOps: how we cut deploy time from 40 to 3 minutes

Case studies · October 8, 2025

The real value of DevOps: how we cut deploy time from 40 to 3 minutes

Case study: CI/CD, Docker, automated tests and automatic rollback cut releases from 40 to 3 minutes and reduced incidents.

What we learned from mistakes building our first product version (MVP)

Case studies · October 8, 2025

What we learned from mistakes building our first product version (MVP)

Mistakes we made on our own MVP and how we fixed them: too many features, no feedback loop, neglected onboarding. Lessons for every founder.

UX design and conversions: 58% more purchases after a checkout redesign

Case studies · October 8, 2025

UX design and conversions: 58% more purchases after a checkout redesign

Case study: how a UX redesign of navigation and checkout increased completed purchases by 58% and cut abandoned carts from 42% to 18%.

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