Laetus is an experimental AI-powered platform for exploring decision-making under uncertainty through behavioral analytics, probability, and real-world experimentation.

Rather than trying to predict the future, Laetus investigates how independent signals can help people better understand uncertainty over time.

The platform combines multiple experimental modules, including behavioral observations (Luck Pulse), AI-assisted forecasting, probability analysis, blockchain-based randomness, virtual lottery experiments, and long-term statistical tracking. Each source is analyzed independently before contributing to a higher-level decision framework, allowing signals to reinforce or contradict - one another as new evidence is collected.

Laetus is built around a simple research philosophy: uncertainty shouldn't be reduced to a single prediction but explored through continuous observation, experimentation, and learning.

The project was developed using an AI-assisted workflow (often described as vibe coding), where AI acted as an engineering collaborator throughout architecture design, backend implementation, analytics modeling, UI/UX design, localization, documentation, and product strategy. This enabled a solo founder to rapidly prototype, iterate, and evolve a complex research platform.

Technically, Laetus includes:

• Cross-platform mobile applications built with Flutter

• Cloud-native backend and automated data pipelines

• AI-assisted forecasting and behavioral analytics

• Multi-source decision support framework

• Blockchain-based randomness integration

• Real-world experiment tracking

• Administrative and monitoring infrastructure

Laetus is not a gambling application and does not sell lottery tickets or promise winning predictions.

It is an independent research platform exploring how AI, behavioral science, probability, and human intuition can be combined to better understand decision-making under uncertainty.