What is the difference between Native AI, AI First, and AI Software
AI (Artificial Intelligence) can mean different technologies to different people.
You will find Native-AI, AI-First, and AI Software. Let us describe the differences, which are more serious than most people think.
1) Native AI
Native-AI describes a solution that is written in Natural Language, so that intelligence, autonomous actions, decision-making processes, learning, and reasoning are completely controlled and managed by intelligence and not by code. To fully access the power of agentic AI, we developed a special “BluePrompt” technology so that the human intention, the relevant context, and the expected outcome can be rapidly communicated with the GPT and its LLM. However, 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.
The Intelligence-over-Code Method was the breaktrough for a first Native-AI system.
Your most significant benefits of a Native-AI architecture:
- Intelligence First Hierarchy
- Superior Process Measurability
- Intelligent Process Capabilities
- Solution Scalability
- Rapid Solution Design
- Easy Solution Maintenance
- Rapid Agent Development
- Fast Agent-to-Agent communication and data exchange
- Future AI readiness
Additional Technological Benefits for you as a developer
- Standardized Agent-to-Agent Protocols
- Synaptic Agent Connectivity
- Agent build Agent Methodology
- Agentic Spine navigation
- Transparent Memory Management
- Easy state management
Learn more about Intelligence-over-Code here.
2) AI-First
The term AI-First was coined when AI Agents, built with Generative AI, became popular. AI-First indicates that a software solution was designed with AI as a design priority in mind. However, AI-First solutions are still developed using conventional software that is coded in a linear, step-by-step process and only uses prompts to an AI LLM, when needed.
AI-first solutions are still dominated by software code. Yet they have a substantial part of intelligence integrated. Examples include chatbots, co-pilots, and almost all single agents.
AI-First was a great start, yet we believe it was just an interim path to get to Native-AI Applications.
3) AI Software
AI Software, also described as algorithmic AI, is actually conventional software, written in any programming language that involves algorithms to perform specific mathematical or algorithmic actions or machine learning mechanisms. It has an advantage over generative AI in that it handles 100% precise mathematical results. Yet, it lacks the enormous power of LLM-driven AI applications.
Most business Software has AI Software attached to improve the user experience of CRM, ERP, SCM, HR, and other solutions. Those attachments may include agentic AI agents, triggered by their software or isolated as a service to users. Yet, they lack intelligent company-wide workflows, intelligent decision making, lack reasoning for the final results, process learning, and other features compared to Native-AI solutions.
4) How can I start?
As a Corporate Manager
Let’s jointly explore your specific situation.
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As an AI Implementation & Consulting Manager
Upcoming or past Knowledge Transfer Webinars.
You find additional partner information here.
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As an Agentic AI Developer
Upcoming or past Knowledge Transfer Webinars.
You can find more about our GPTBlue Development Studio,
Send us an email here or give us a call +41 44 500 6480
As a Student
Find out more about Agentic AI, Enterprise AI in our upcoming or past Knowledge Transfer Webinars.
Send us an email here or give us a call +41 44 500 6480