An AI AGENT is a digital worker you can employ
Imagine there is a type of software that can research a market, technology, or customer behavior, assess it, and then create intelligent suggestions. You can pick one of those suggestions, maybe add your own thoughts, and request agents to generate the construction manual for experts or robots to build a solution.
With a large group of sophisticated and specialized agents, one can compose highly intelligent ERP or CRM systems that surpass the capabilities of current non-intelligent systems by order of magnitude.
Also, AI agents can advance workflows in small businesses. and perform jobs of employees that the company could never afford to hire.
Agents have the intellect and capacity to perform many tasks that only humans can do. With the freed-up time, employees can simply do more and more purpose-driven work. The result is more satisfying tasks and faster-acting businesses.
Artificial intelligence already surpasses the human brain in several ways. Yet, together, they are more powerful than either could ever be alone.
Before AI Gents we had prompts
When Open AI introduced ChatGPT on Nov 29, 2023 the AI world flipped yet another time from a short AI winter to an AI Summer. This time it may have been the last AI winter. Prompts have been a sensation. But without accessing other systems, as simple as a mail server and as complex as an ERP system, prompts have limited capabilities. To make it work, it requires the availability of other functions that can be called, proprietary models that can be built, the ability to run autonomously, a way to be aware of its surroundings, and split complex processes with multiple prompts but with the capability to communicate with each other. They need to get a so-called stateful architecture and be able to manage more complex memory from short-term to long-term memory. And last but definitely not least an even more ‘intelligent’ model. All this has happened in 2024 unfolding the capabilities needed for serious business applications, which now are built with what we call AGENTS.
No, Prompts are parts of Agents
Interestingly enough, agents use ‘prompts’ to talk to key functions of an AI like the ‘Large Language Model’. The LLMs represent a key component of a Generative AI System. So all the above-mentioned functionalities PLUS prompt results are handled within an agent. A prompt is the most strategic direct connection between the human brain and a generative AI system. The power of an agent grows with the quality of its prompts. This led to the term Agentic AI. Agent-based AI with its powerful prompts and all the functionalities mentioned above gave AI its real breakthrough in business.
ONLY NOW, companies like BlueCallom could develop enterprise-grade solutions with a level of complexity and intelligence no conventional software could provide. For instance ‘DISRUPT’ is a highly sophisticated innovation development solution with a creativity horizon no human can beat on their own. BANKCIRO is another example that can develop solutions to increase a bank’s Cost Incom Ratio (CIR) to a degree that is outside the human comprehension span.
And only now we can start augmenting our own intelligence with artificial intelligence.
Agents have one of two things inside:
A) Conventional software code, often written in Python and with access to a Large Language Model. This is currently the most used model.
B) Multi-Functional-Prompts, written in natural language, and with access to conventional programs, other models, and APIs whenever needed. This Prompt-over-Code model is betting on the future of rapidly growing intelligence in the model and faster access to future Large Action Models.
Deciding between one or the other is not easy. Developers know their code and see a huge advantage in code-based software, including flexibility, and output precision. Native AI developers see the benefit of process intelligence, non-linear process development, even better LLM leverage, and many others. This may be a religious battle between two ways of thinking. Only time will tell.
Learn more about Agents
And the year of the agents?
Where can I learn more about it?
Managers and Executives
Twice a year, we offer Agentic-AI management programs to acquire the foundational knowledge of modern AI, the future of Agents, and entire business solutions. This program is for non-IT managers, to understand the cause and effect of Agentuc-AI solutions in corporations over the next 2 to 5 years.
AI Solution Implementer and Developer
We are conducting quarterly online Agent-AI BootCamps. You find them on the BlueCallom Website. Those Boot Camps are two-day instructor-based workshops with hands-on exercises so you learn the theory and the practical results in one program.
Join this new economy
Why Agentic AI Economy?
The steam engine was the most important invention in the industrial revolution 300 years ago. Today, agentic AI changes everything we can imagine. BlueCallom developed the first “Multi-Functional Prompts” end of 2022. In 2024 we gradually adopted the term Agent and added even more functionality to those prompts.
In 2025, the year of the agents, we all take AI one step further and build entire enterprise-level AI Business Solutions with multiple, highly sophisticated agents. The economic impact is nothing less than transformational.
Join – Learn – Contribute – Shape the Agent Economy.
Manager, Engineer, Designer, Architect, Educator, User, or otherwise contributing participant of this new economy.