Skip to main content

AI Tools

General AI Statement

AI Statement and Methodology

In accordance with NMBU's Guidelines for Use of Generative Artificial Intelligence (AI) and the transparency requirements for synthetic content under Article 50 of the EU AI Act , the following outlines the use of generative Artificial Intelligence (AI) as a tool in the production and analysis of the materials provided on this platform.

AI Tools Utilized

The following AI models and platforms were used during the production of this material (accessed during early 2026):

Claude Opus 4.6, Sonnet 4.6, and Haiku 4.5

Gemini Gemini 3 Deep Think, Gemini 3.1 Pro, Gemini 3 Flash, Nano Banana, Veo 3.1

ChatGPT GPT-5.2

Grok xAI Grok-4.1 and 4.2

Google NotebookLM Research interface powered by Gemini 3.1 Pro, Gemini 2.5 Pro, Gemini 2.0 Flash, specialized text-to-audio models and Nano Banana Pro

Lovable Full-stack deployment platform running on Gemini 3 Pro, 3 Flash, 2.5 Pro, 2.5 Flash, GPT-5.2, GPT-5, GPT-5 Mini, GPT-5 Nano, Claude Opus 4.6, Claude Sonnet 4.5, Nano Banana Pro

Replit Collaborative cloud-based IDE and deployment platform using Claude 4.5, Claude 3.7 Sonnet, GPT-5.2, Gemini 3 Pro, GPT-5.2 Pro, OpenAI o3-pro, and DeepSeek-R1

Bolt.new Full-stack web agent using Sonnet 4.5, Haiku 4.5, Sonnet 4.6, Opus 4.5 and Opus 4.6

Google AI Studio Platform interface for Gemini 3.1 Pro, Gemini 3 Flash and Nano Banana 2

Google Antigravity Agent-first IDE using Gemini 3.1 Pro and Gemini 3 Flash

Purpose and Application (Methodology)

AI tools were integrated into the production process to generate, analyze, and structure the content:

Text and Audio Generation and Analysis: Claude, Gemini, ChatGPT, and Grok were used as sparring partners and writing assistants to draft, summarize, translate, and analyze the written, visual, and audio-based content.

Source Processing: Google's NotebookLM was utilized specifically as a methodological tool to process, analyze, and synthesize underlying source material.

Code Generation and Analysis: Lovable, Replit, Google AI Studio, Bolt.new, Google Antigravity, Claude, and Gemini were used to assist in the development, analysis, improvement, and debugging of programming code.

Quality Assurance and Human Oversight

AI-generated outputs have not been used as the sole source of factual information. To ensure quality, traceability, and accountability, the material has been subject to the following quality assurance procedures:

Text, Visual, and Audio: All AI-generated text, audio, and visual content have been critically evaluated and manually reviewed by the author. Certain explanations contain analogies, anecdotes, or pedagogical simplifications of complex concepts; these have been intentionally curated and adapted by the author to effectively serve the purpose of the material.

Programming Code: Code generated by Lovable, Replit, Bolt.new, Google Antigravity, Claude, and Gemini has not been analytically verified for its underlying syntax. Instead, it has been functionally evaluated through practical testing to confirm that each function or component operates as intended. The code provided is intended for educational, demonstrative, or analytical purposes, and is not designed for deployment in secure or high-consequence environments. Code that successfully produces the desired outcome or product is utilized, while non-functioning code is discarded.

Deployment and Synchronization: The transition from development to production was validated through a systematic GitHub-to-Vercel deployment check. This ensures that all AI-generated code successfully synchronized from the editor to the GitHub repository and passed all automated build requirements on Vercel before being served to the user.

Security and Secrets Management: To maintain the integrity of the platform and protect sensitive integration data, all API credentials have been isolated from the source code. These were managed exclusively through secure environments, such as the Lovable Secrets panel, and injected at runtime via serverless Edge Functions to ensure that no private keys are exposed in the client-side code or public repositories.

As the author, I have exercised human oversight throughout the entire production process. I have applied my own judgment and bear full personal responsibility for the final content.

← Back to Home