1The Frontier, Defined: Capability, Cost, and the Moving EdgeThe frontier is not one model; it is the moving boundary where capability, cost, latency, and control meet.Practitioner 2The Cost-to-Outcome Curve: Token Efficiency as the New FrontierThe next advantage in AI is not spending more tokens, but turning each token into more useful customer outcome.Practitioner 3The Hill-Climbing Flywheel: Co-Optimizing Model, Harness, and RLEsThe durable advantage is not a bigger model alone, but a loop that improves data, model, harness, and evaluation together.Practitioner 4Agentic Coding Trained in the Production HarnessThe MAI coding model shows why coding agents improve fastest when training, evaluation, and production share the same harness.Expert 5The Excel Climb: Cross-Domain Transfer via RL EnvironmentsA coding-trained agent can become a strong spreadsheet worker when the same checkpoint is retuned in a faithful Excel environment.Expert 6Frontier Tuning at Enterprise Scale: RLEs, Compliance & SubstitutabilityFrontier Tuning turns work traces into governed improvement loops, while keeping models, tools, and data inside enterprise control.Expert