How to vibe-code an AI sports intelligence terminal without losing your mind
259
Backend Functions
164
Data Entities
55%+
Model WR (Agreement)
Before You Buy This
This guide was written from a real build. Every architecture decision, pipeline pattern, debugging framework, and prompt template comes from actual production experience — including the failures. It is designed to save you time and orient your thinking, not hand you a finished product.
WHAT THIS GUIDE GIVES YOU
The architecture and pipeline design
API patterns and normalisation code
The two-model philosophy and why it works
Debugging frameworks and audit patterns
The calibration feedback loop concept
Prompt templates for AI-assisted building
UI layout and signal display logic
WHAT IT DOES NOT GIVE YOU
Live production model weights
Confidence mapping thresholds
Proprietary edge formulas
Protected suppression tuning logic
The specific values that drive Shark Desk
A replication of the live terminal
Guaranteed results or edge
The live Shark Desk terminal exists because the model weights, calibration logic, and suppression rules were built and tuned over months of graded results. This guide gives you the system to build your own version. What you tune it to is your edge.