# The Development of an OpenAI-Based Solution for Decision-Making
## 2 Materials and Methods
### Real-Time AI Decision Support
#### 2.7.3 Clarification of Blockchain Implementation: Why PoA over PoS? The Proof of Authority (PoA) consensus mechanism was selected over Proof of Stake (PoS) due to the specific needs of the enterprise decision-making application. PoA processes transactions much faster than PoS, which is crucial for real-time decision-making. Since PoS relies on staking-based consensus, it can introduce unnecessary delays due to validator selection and staking mechanisms. Unlike PoS, which still requires nodes to perform computational work to some extent, PoA is far more energy-efficient, making it ideal for an enterprise setting where environmental impact is a consideration. PoA relies on a fixed set of pre-approved validators, reducing the risk of malicious actors gaining control of decision-making processes. PoS, while secure, can be vulnerable to economic attacks where wealthy stakeholders manipulate the consensus. Furthermore, the architectures in this application use OpenAI's API, blockchain protocols, and user management features to make sure that there is transparency, scalability, and efficiency in the decision-making system. In the current app design, Angular is used because it is a robust framework with a modular structure, making it easier to scale and maintain this application as organizational needs evolve. Another reason for using Angular is that it can provide high performance, which is needed in organizational decision-making because there are complex dashboards, real-time updates, and data visualizations. Additionally, PoA is used because it provides faster transaction validation, making it ideal for an enterprise decision-making system where decisions must be quickly recorded and processed. Moreover, it has better efficiency, speed, and resistance to attacks. In addition, in the current application for token generation, GPT-3.5-turbo with 16,385 tokens is used. The following table (Table 2) explains step by step the methodology which was followed in this study:The OpenAI model which was selected for this study was ChatGPT 4o. Regarding its architecture, GPT-4, with approximately 1 trillion parameters, significantly surpasses GPT-3.5's 175 billion, resulting in enhanced contextual comprehension and response coherence. Variants such as GPT-4 Turbo and GPT-4o exhibit enhanced efficiency. GPT-4 models utilize an extensive and varied dataset during training, enhancing their capacity to manage intricate inquiries and produce precise solutions. Improved training and quality assurance procedures lead to enhanced performance. GPT-4 possesses the capability to comprehend extended input (up to 128,000 bits) and exhibits superior contextual comprehension and precision. It encompasses multimodal functionalities, managing text, graphics, audio, and video. Blockchain technology was integrated into the system because of decentralized and transparent decision-making process. At the core of the decision-making platform there is a process which uses OpenAI's API for real-time data processing, natural language processing (NLP), and recommendation systems. Moreover, the backend of the platform was designed so that the user inputs can be handled in a secure manner, and these can relay API calls to OpenAI for analysis. All backend processing is carried out using Node.js and Python. The API is used to provide decision insights, predict outcomes, and support decision-makers, and all of these steps are carried out by processing large amounts of historical