Blog

Insights on digital transformation, technology, and business automation.

August 6, 2026

5 Processes Small Businesses Should Automate with AI in 2026

Practical guide to business automation using AI. Discover 5 key processes that yield immediate returns, from invoice parsing to lead sourcing.

August 2, 2026

Data-Driven Customer Service: Building AI Models from Chats and Tickets

How to leverage NLP, ML, and predictive analytics to train AI agents that autonomously resolve customer queries 24/7 with full personalization.

August 1, 2026

Pet Industry E-Commerce Challenges — And Why Automation Alone Isn't Enough

Analysis of pet industry e-commerce challenges. Why generic chatbots fail and how to responsibly combine AI, RAG architecture, EU AI Act compliance, and GDPR with Asellio.

July 30, 2026

Agentic Commerce: What Happens Behind the Mask of an Agent-Based Sales Channel

Deep technical analysis of autonomous AI agents in e-commerce: from four-plane architecture to A2A protocols and token cost optimization.

July 28, 2026

RAG vs Fine-Tuning: What Teams Are Choosing in 2025? Data from Practice

New benchmarks show: hybrid approach (RAG + fine-tuning) delivers 86% accuracy vs 75% for base GPT-4. How to choose in practice?

July 23, 2026

Lakehouse, RAG and Vector Databases: What from the Modern Data Stack Makes Sense for SaaS?

Pinecone for speed, pgvector for cost control, or Lakehouse for governance? Concrete metrics and case studies for small SaaS teams.

July 21, 2026

Hybrid Human-AI Teams: A Review of Recent Trends and Challenges

Artificial intelligence is ceasing to be a tool, becoming a full-fledged team member. A review of key concepts and challenges in building hybrid teams.

July 16, 2026

Cursor vs OpenAI Codex vs Claude Code vs Antigravity: 2026 Analysis

Deep technical analysis of four leading AI coding agents. Comparison of architecture, benchmarks, and real-world production use cases.

July 14, 2026

AI Costs in Production: How to Optimize OpenAI and Gemini Spending

The cost difference between closed and open-source models reaches 62x. Learn routing, caching, and compression strategies that will reduce bills by 85%.

July 9, 2026

World Models vs LLM: Revolution in AI Based on the Physics of Reality

Major AI labs are transitioning from language models to World Models. Analysis of NVIDIA's Cosmos architecture and the future of physical AI.

July 7, 2026

Embeddings in E-commerce: Better Search Without Large Models

Embedding technology is revolutionizing product search and recommendations without the need for massive AI models. See how this method works.

July 5, 2026

AI in Marine Aquarium Monitoring: Data Analysis and Early Detection

How AI, computer vision, and intelligent sensors are revolutionizing marine aquarium monitoring by detecting problems before they cause losses.

July 2, 2026

Data Science Pipeline in a Small SaaS: Architecture from Zero to Production

How to build an efficient data science pipeline in a small SaaS company? A practical guide to architecture, tools, and challenges for teams of 1-2 engineers.

June 29, 2026

Copyright and open source AI: legal asymmetry blocking transparency

The legal asymmetry between training legality and the distribution ban of copyright-protected datasets is blocking the creation of true open source AI. Check out this analysis of challenges and solutions.

June 26, 2026

AI-first vs Data-first: Which strategy wins in production systems?

Analysis of AI deployment approaches in production shows that system durability and stability require a data-first strategy. See why data quality surpasses model size.

June 24, 2026

Your AI Skills Stack: Building Competencies That Survive the Next Six Months

With AI capability doubling every six months, learning to prompt is no longer enough. Discover the 6-level AI Skills Stack and how to build lasting professional value.

June 21, 2026

SFT in Practice: How Fine-Tuning a Small Language Model Can Beat GPT-5 at Invoice Processing

Running frontier LLMs in production is expensive and slow. Learn how LoRA fine-tuning of a 2B Vision Language Model on an NVIDIA L4 GPU achieves parity with GPT-5 at a fraction of the cost.

June 18, 2026

Multi-Agent Systems in Enterprise Commerce: How IFPOF Is Reinventing Product Onboarding

Traditional workflow automation fails in complex, non-linear enterprise product launches. Multi-Agent Systems like IFPOF coordinate pricing, catalog, and compliance autonomously.

June 16, 2026

AI Agents in E-commerce and SaaS: When Is ROI Real, and When Is It Just Hype?

Is the ROI of AI agents real or just hype? A comparison of Google Cloud and Deloitte reports, combined with real B2B and retail case studies.

June 12, 2026

Agentic RAG in E-commerce: When a Simple Chatbot Isn't Enough

Retrieval-Augmented Generation (RAG) is transforming e-commerce, but simple linear search is no longer enough for complex expert niches. We need Agentic RAG and Multi-Agent systems.

June 11, 2026

Autonomous AI Agents in E-commerce and SaaS 2026: Data Architecture, Business Models, and Implementation

We are observing a structural shift in enterprise software: transitioning from AI copilots to fully autonomous Multi-Agent Systems, redefining SaaS business models and data architectures.

June 7, 2026

From Copilot to Agent: The Joy Paradox and the New Era of AI in 2026

We have officially entered a phase where artificial intelligence is no longer just a novelty tool. The transition from micro-automation to full-fledged agentic workflows brings an unexpected challenge: the Joy Paradox.

April 14, 2026

AI Business Roles 2026: Career Maps in the Digital Age

By April 2026, the talent landscape in technology and business has undergone radical transformation. It’s no longer sufficient to have "an ML Engineer" or "a Data Scientist." Modern enterprises now seek specialists with precisely defined roles that blend technical depth with business strategy.

April 13, 2026

April 2026: When AI Moved from Experimentation to Operational Reality

Without hyperbole: April 2026 will be remembered as an inflection point. Not because one breakthrough model emerged, but because the entire ecosystem simultaneously shifted toward something that previously seemed impossible—autonomous, reliable agentic systems running in production.

April 12, 2026

AI Agent Orchestrator: Why This May Become One of the Most In-Demand Roles of 2026

84% of executives expect to deploy AI agents within the next 18 months, but only 23% say they know how to do it effectively. That gap matters. It suggests the main challenge is no longer access to AI tools. The real challenge is operational: how do you organize people and agents so they work together in a controlled, measurable, and useful way?

April 11, 2026

Small Language Models – Benefits and Pitfalls

In the world of machine learning systems, a thoughtful shift is taking place. Instead of betting on gigantic, difficult-to-scale models, we increasingly opt for "agile" ones. Small Language Models (**SLMs**) promise lower costs and faster adaptation to project specifics. Sounds good, but concrete challenges stand behind success.

April 10, 2026

A New Chapter in Open-Source AI: How Zhipu GLM-5.1 is Taking Over the Coding Market

April 2026 brought the Zhipu GLM-5.1 model – an open-source system with 754 billion parameters that, on paper, wins against solutions such as Claude Opus 4.6 or GPT-5.4.

April 9, 2026

AI Technologies at the Turn of Q2 2026: TurboQuant, Gemma 4, and Claude Mythos 5

In the first weeks of 2026, three AI initiatives appeared on the scene that are worth knowing – but before we jump into testing, we need to look at the broader context and possible challenges.