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Cycling Training Intelligence — A Case Study in Grounded AI

How Orbital built an AI coaching platform whose recommendations are grounded in the athlete's own power data, fitness trajectory, and past conversations — not generic advice. The public proof of concept for the approach Orbital takes with every client.

April 28, 2026
Case-studyProjectsAiCti

CTI's Fitness Metrics: TSS, CTL, ATL, TSB — the Numbers Behind the Coach

How CTI's Performance Management Chart implementation — Critical Power, Normalized Power, TSS, CTL, ATL, TSB, plus subjective Feeling and RPE — gives the AI coach a quantitative model of fitness, fatigue, and form.

April 28, 2026
DevelopmentProjectsAiCti

CTI's Reinforcing Evals Loop: Prompts, Skills, Traces & Telemetry

How CTI's prompt versioning, skill system, admin trace review, Evalite evals, and Langfuse telemetry form a reinforcing loop that makes the AI coaching layer improve with every user interaction.

April 22, 2026
DevelopmentProjectsAiCti

CTI's AI Architecture: How the Coaching Layer Works

A deep dive into the intent routing, layered prompts, three-tier memory system, and hybrid search that power CTI's AI coaching layer.

April 7, 2026
DevelopmentProjectsAiCti

Building Cycling Training Intelligence in One Week with Claude Code

Transform indoor cycling training files into an interactive, cinematic experience. Not just charts — a way to discover insights about routes, locations, and performance through exploration.

January 19, 2026
DevelopmentProjectsAiCti
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