AI Prediction Workflow

What problem does it solve?

It helps translate messy historical lottery draw data into structured, provider-ready AI prompts and prediction outputs, reducing manual analysis and speeding up repeatable forecasting workflows.

Core Features & Use Cases

• AI prompt construction for lottery constraints: Converts recent draws into human-readable text and builds a provider-specific instruction prompt with lottery rules (e.g., valid ranges).
• Flexible modeling across lottery types: Supports dual-pool modeling (separate red/blue pools) and single-pool modeling (one unified number set) depending on the game mechanics.
• Automated data normalization and updates: Normalizes issue numbers across sources and performs incremental synchronization to keep history consistent before prediction.
• Multi-model support and ensemble logic: Dispatches prompts to multiple LLM providers and combines results with statistical/ML engine recommendations.

Quick Start

Ask the system to generate an AI prediction for a selected lottery using the latest N historical periods, then review the returned markdown analysis and recommended number sets.