Working-memory control
Adaptive n-back blocks train update-and-hold ability under time pressure.
Training tool
Capacity Training
Build the active workspace for problem solving: cognitive-control and relational working-memory practice designed for transfer.
Capacity Gym combines adaptive n-back, relational n-back, varied challenge formats, and coach-guided progression to help you hold variables, track predictive transitions, and carry control into new tasks.
Want the full method spec? Read the public protocol.
Typical session
10 to 20 minutes
Session format
Guided 10-block flow
Data model
Local-first + exportable
Design Intent + Proof Posture
- Designed for far transfer: Designed to train general intelligence capacity and cognitive resilience, and to test whether gains carry over under changed conditions.
- How transfer is checked: Game swaps (same skill in a different task format), boundary/trap probes (checks that look for failure points), and delayed re-checks (does the gain still hold later).
- Transparency: Protocol + progression logic are public; users can export their training trail; we publish aggregated summaries of test results as the evidence base grows.
- Scope boundary: Skills training and self-regulation, not diagnosis or treatment. Outcomes vary.
What Capacity Gym helps you train
This is not just score chasing in one task. Capacity Gym is designed to build stable training habits that still work when conditions change.
Attention stability
Coach-guided routing helps reduce overload spirals and noisy performance blocks.
Pattern and relationship tracking
Relational modes train structure tracking, not just surface-level stimulus habits.
Transfer checks inside training
Game swaps and small controlled challenge changes test whether gains survive format changes.
Consolidation discipline
After strong blocks, the app stabilises gains instead of forcing random disruption.
Session logic: stabilise, challenge, swap-check, consolidate
- Stabilise signal quality. If a block is noisy, use recovery before increasing challenge.
- Build challenge in steps. Adjust one training dial at a time where possible.
- Run game swaps. Check whether progress holds when the task format changes.
- Lock in gains. When performance is strong, protect it before pushing again.
This cycle is designed to increase the probability of real carryover, not just in-game spikes. See how to train dual n-back well for the applied progression and plateau protocol.
Inside the app
These screens show the guided flow, adaptive challenge control, and transfer-oriented training structure.
Validation and scope limits
- What is known now: Working-memory training evidence in the wider literature is mixed, so transfer is treated as something to test, not assume.
- What this app is designed to test: Whether gains are more likely to carry over through explicit game swaps, challenge checks, and consolidation structure.
- What it does not do: Capacity Gym supports skills and performance training, not diagnosis or treatment, and does not guarantee outcomes.
For technical inspection, use the public protocol source.