How IQMindware works
The core loop is simple: assess baseline, regulate readiness, train capacity, then run delayed re-checks to test whether gains carry over under changed conditions.
Assess to Regulate to Train to Re-check
Each step has a specific output and trigger so users know what to do next.
What each tool does
The tools are designed to work as one loop, not as isolated apps.
How carryover is tested under change
Carryover is tested with condition shifts, not inferred from repetition in one fixed task format.
Same cognitive demand, different game wrapper.
cross-format checkRule edges test whether strategy is robust under variation.
boundary checkRe-test after training blocks to check retention across time.
time-lag checkApply scripts in real tasks and log outcomes.
applied checkInspect protocol definitions at /proof#protocols and published summaries at /proof#data.
Example week and routing
A simple default schedule that adapts to readiness output.
| Day | Flow | Time |
|---|---|---|
| Mon | Assess + Regulate + Train | about 25 min |
| Tue | Regulate + Train | about 20 min |
| Wed | Rest or low-load day | - |
| Thu | Regulate + Train | about 20 min |
| Fri | Regulate + Train | about 20 min |
| Weekend | Delayed re-check window if due | about 5 min |
Run Zone Coach only and preserve continuity.
Downshift or reset before training.
Avoid adding new load before mission-critical tasks.
What is published and what stays private
Protocols are public. Published summaries are aggregated. Personal logs remain user-controlled and exportable.
Flow: local session trail -> aggregated summary -> published proof update.
No raw personal logs are published.
Open protocol details are listed in /proof#protocols.
Aggregated evidence summaries are published at /proof#data with caveats.
Users can export their own training trail from the tool layer.
Run the loop once, then re-check under change.
Start with one guided session and create your first baseline today.