The AI Playground helps developers share their ideas and get them into production quickly.
🧭 V0.1 Dec 2024: Implementation of long range planning methodology (SOFT)
The first idea is the implementation of a long range planning methodology. Many companies use SWOT. SWOT probably originated from the Stanford Research Institute's Long Range Planning Service, known as SOFT. SWOT is nothing more than a re-labelling of the SOFT acronyms. The team of open source developers is dedicated to modernising this approach by integrating the latest Agentic RAG technology.
⚙️ V0.1 Dec 2024: Achievement
The AI correctly picks up the sentiment of the problem from the user by selecting the "T" for threats. It suggests a good description, a reference and actions to take. The user can use this as a source of inspiration. Accuracy to the standard jumps from 40 to 90%.
⚙️ V0.2 Jan 2025: UI-Concept
Inspired by mobile mood apps, an innovative user interface concept has been adopted that encourages user interaction through chat. Based on user input, the application can suggest context, configurations and workflows. The AI in the background is instructed to distinguish between assistance and task input. The user can agree or disagree to keep the behaviour transparent. The app must be able to undo its actions upon the users request.
💡 V0.3 March 2025: Use business process management tool called n8n
The open source team plans to simplify the chat and make it fit into any workflow. The developers are currently investigating a business process management tool called n8n, which is known for its agentic AI capabilities. The idea is that the AI figures out what the user wants to do and chooses the right workflow to do it.
✨ V0.4 March 2025: User in the loop
The “human in the loop” provision in the EU AI Act is a cornerstone of the EU’s approach to regulating high-risk AI systems. By mandating meaningful human oversight, the Act aims to mitigate risks associated with automation while ensuring that AI remains a tool that serves, rather than replaces, human judgment. This balanced approach was embraced by the development team and rephrased as "user in the loop," meaning that the AI-reasoning is shared between the frontend and the backend, giving control optionally back to the user.
