Mental Performance Training.

Problem.

Most existing solutions treat focus as a binary state or rely on external scaffolding (apps, timers, blockers) that create dependency rather than capability. What is needed is a system that cultivates autonomous mental performance through structured practice and validation, rather than imposing focus from outside.

Approach.

A neuroscience-grounded training system that develops cognitive autonomy through three foundational capacities: attention training (sustained focus independent of external stimuli), emotional regulation (recognizing and modulating affective states without suppression), and metacognitive awareness (accurate self-assessment of cognitive state and capacity).

Core architecture.

• TAS-20 alexithymia assessment gates users into three training tracks based on baseline emotional awareness.
• Structured progression through exercises targeting specific cognitive capacities (breath awareness, body scan, open monitoring, metacognitive journaling).
• On-device Whisper transcription for voice-based self-assessment without cloud dependency.
• Gate criteria system — users advance only after demonstrating measurable improvement in target capacity.
• Local-first data architecture (Flutter + Drift) — all training history stored on device, no cloud sync required.

Specifications.

Status.

Prototype in active use. Track structure validated against TAS-20 outcomes. Next step: longitudinal effect-size study against baseline.

Documentation.