What is Native AI

How is Native AI Different?

What is Native-AI

1) Native AI Solutions

We at BlueCallom created this Native AI Solutions concept to leverage the full potential of Agentic AI.

DESIGN BASICS
The Native-AI design started by leveraging Natural Language as a dominating factor in sophisticated business solutions. We realized that future business solutions must operate autonomously, conduct decision-making, learning, and reasoning at any given point in time, not just when a Python code sends a request to an LLM. It should be entirely managed and executed by the intelligence provided by an Agentic AI Infrastructure or AI Operating System.

ENTERPRISE PREREQUISITES
Moreover, unlike any chatbot, Co-Pilot, or Agent, which maintains a 1:1 relationship with a human individual. True Native AI Solutions and their AI infrastructure must be able to support tens or even hundreds of thousands of employees. It would need technology that navigates intelligent workflows, information (data), instructions, analytics, dynamic change alignment, and more throughout an AI Network (AIN).

NATIVE AI SOLUTIONS
Those new types of business solutions are no longer ‘coded’ and no longer just follow fixed and repetitive tasks; that can be done with conventional software. They must be intelligent, adaptive, non-deterministic, and responsive to new situations. That requires intelligence and adaptability. And that means, native AI Solutions can perform tasks and constitute entire workflows that can support situations that were not expected before or known to be edge cases.

Sales Workflows can now adapt to buyer behavior that is not managed through a company-defined sales process.
Innovation processes become intelligent workflows that adapt to the many variations of a creative process.
Marketing can be connected to hundreds of touchpoints inside and outside a company to fully understand the market and create activities that resonate with the audience.
HR no longer hires a ‘profile’ for robotic tasks, but a person who matches culturally, intention, and environment. People who can deliver expected outcomes with the help of AI.

Your most significant benefits of Native-AI Solutions:

Superior Process Measurability
Intelligent Workflow Capabilities
Non-deterministic flow control
Dynamic predictability
Solution Scalability
Easy Solution Maintenance
Rapid Solution Design
Fast Agent-to-Agent communication and data exchange
Future AI readiness

NATIVE AI TECHNOLOGY

The above concept cannot be realized with conventional software. Today, most AI agents are written in “Python”, a 35-year-old programming language. But any other programming language would fail too. We needed to find a way to make stiff and hard-coded processes dynamic and adaptable workflows. Neither the coding techniques, conventional software, nor conventional CPUs would allow that. We decided we need to make the “process” an “intelligent workflow”.

GUIDING THOUGHT:
A prompt is the most strategic connection between the human and the artificial brain (AI). Intelligence-over-Code (IoC) must become the method.

With this guiding thought, we began to build “BluePrompts” that talk ‘natively’ to the GPT and LLM, on one side, and to necessary technology like mail servers, APIs, on the other side. In between, we developed a memory system and connection mechanism for our multi-agent architecture. At least this is the simplified version of the Intelligence over Code Design. It is now INTELLIGENCE that manages the workflow. Not the computer code that we used for 125 years. Don’t confuse “no-code” with “Intelligence-over-Code”.

Now we have a technology that allows ‘Intelligence Dominates Code’, not the other way around. It’s that simple.

Native AI Solutions, Native AI Design, Native AI Framework, and Native AI Tech are available through a “Common Creative” License. We don’t want to uphold progress through patents. We are developing with a new and innovative mindset, and together we get farther than any of us alone.

2) Native AI Design

‘Intelligence over Code’ Method

ORIGIN
In recent years, AI Agents have been written in Python, a 35-year-old programming language. Our intuition signaled that this was a huge trap. Going back to stiff and linear code would stop truly inteligent application design right there. After some major exploration, we eventually put AI Solution Design on its head – 180°. To fully access the power of agentic AI directly, we decided to expand on the prompt design and structure it in a way that prompts can drive every aspect of a workflow.

BLUEPROMPT
When we talk about PROMPTS, we talk about natural language communication with a GPT/LLM, which is the language the LLM is operating on. However, those prompts are not comparable to the text you enter into a chatbot like ChatGPT. BluePrompts can send emails, access databases, be triggered by events, and have many other features. In other words, BluePrompts are almost like agents. BUT – instead of being written in Python and call an LLM for intelligent responseses, The BluePrompt itself drives and desides what it needs to make intelligent decisions.

THIS IS NOT A ‘NO-CODE SYSTEM’.
Those powerful “BluePrompts” could do things that conventional software could never achieve. In the end, we connect the human brain directly with the artificial brain via those BluePrompts. Note: Native-AI is not a “No-Code” system. Native-AI uses code to enable interaction with external systems, interfaces, and APIs through so-called ‘function calls’. Then, responses and data are processed by the AI. In other words, intelligence dominates the workflow and every aspect of the solution, including function calls. Code is only a subordinate to the intelligent BluePrompts. But that is not all, we needed a robust integration with the environment the AI is acting in – We needed special technology.

NATIVE AI HIERARCHY

Prompt communication with the LLM, with users, with infrastructure, with the environment.
Prompt / LLM process intelligence.
Prompt dominates any code.
Prompt calls Code whenever needed (i.e. with a function call).
Code returns content back to the prompt.

Learn more about Intelligence-over-Code here.

3) Native AI Technology

Technology

Instead of a Python code-dominated structure, we build a prompt-dominated structure. Obviously, prompts needed to be far more complex than the one you create for ChatGPT. Prompts in this environment need the ability to send Emails, access Databases, Data lakes, APIs, Interfaces, and more. Also, to learn and improve, the BluePrompts needed to learn and leverage reinforced learning and other learning techniques. Even more importantly, they need to be able to communicate with each other. The technology for all of this was an entire technology suite that works in the dark, invisible to users and even developers. We call this technology suite AgenticBlue. It helps connect all AI Assets (Prmopts, agents, multi-agent applications, clusters, function calls, custom models, and more) through what we call “AgentcSpine“. Our Neuroscience Background came in very handy. We learned countless lessons from nature, like how braincells are connected and control information flow, how the Corpus Callosum operates at quantum speed.

Additional Technological Benefits

Standardized Agent-to-Agent Protocols
Synaptic Agent Connectivity
Agent build Agent Methodology
Agentic Spine navigation
Transparent Memory Management
Easy state management

The AI manages the workflow, interaction, and decisions, handles the reasoning and memory, and even handles code-based features.

The birth of Native-AI Solution.

The positive impact on developing speed, workflow intelligence at every step, agent-to-agent communication, multi-lateral process design, parallel processing, autonomous feature variety, memory management, and many more aspects is even mind-bending for us.