Contact us
Our team would love to hear from you.
Articles by Alexandar Apostolov (5)
Practical applications of AI communication protocols (MCP, ACP, A2A, ANP)
In multi-agent systems and artificial intelligence (AI) applications, individual agents face a fundamental limitation: they cannot achieve complex goals in isolation. Without standardized communication mechanisms, agents remain trapped in silos, unable to coordinate with one another or use external tools effectively. Communication protocols solve this critical bottleneck by establishing the rules and interfaces that enable agents to share information, negotiate tasks, and access external resources.
AI agents: capabilities and use cases
As businesses increasingly adopt generative AI (GenAI), AI agents represent the next frontier, redefining how autonomous problems are solved. With the ability to reason, act, learn, and make decisions independently, AI agents offer businesses across various domains unprecedented efficiency and productivity. The question is no longer if you should embrace agentic AI, but how quickly you can integrate it to stay ahead.
Top 7 frameworks for building AI agents: which one fits your use case?
Every company wants its workflows to be smarter and more efficient, and AI agents are the ideal solution. These intelligent systems act like loyal employees that operate around the clock, orchestrate a myriad of unrelated workflows simultaneously, and solve big-picture problems independently. But what if building a ground-up AI agent is too costly for your business? AI agent frameworks offer more cost-efficient and time-saving options.
Generative AI consulting company: what you need in place before you start
Generative AI (Gen AI) is valuable only when the use case, data requirements, and risk controls are clearly defined. Without these foundations, projects slip into rework, security gaps, compliance problems, and wasted investment. Gen AI strategy consulting helps organizations establish these foundations from the outset.
LLM comparison: how to choose the right model for your business
Major companies like Spotify, Salesforce, and Duolingo are already using large language models (LLMs) to improve podcast recommendations, facilitate financial analytics, and deliver hyper-personalized experiences to global users. Following their lead, more businesses have begun integrating LLMs into their operations. But with an impressive list of large language models, choosing the right one becomes a challenge.
authors
Other experts
Vladimir Arefyev
Solution Consultant
Valentine Koronevski
Senior Software Engineer
Andrey Stasishin
Senior AI Data Solutions Architect
Anton Karzhavin
Solution Consultant
Esteban (Potter) Alvarado
Senior AI Software Engineer
Mayela Zúñiga
Location Head, Costa Rica
Yan Sychov
Head of PMO
Veronika Gaponova
Business Analyst