5 games and 19 training modes, each built around one skill. Games are for replayable play; training modes give you scored feedback on confidence and reasoning.
Compose today's session
Start from your constraint, not the mode list.
One recommended next session
Uncertainty Engine
Time fit
Uncertainty Engine has a ~5 min standard loop.
Goal fit
Uncertainty Engine turns certainty into a score you can compare with accuracy.
Evidence fit
Personal evidence unavailable: Personal evidence is still being checked. This choice uses only your time and goal.
What this will show you
Your stated confidence lands closer to the evidence grade on the next attempt.
These cards are built to answer the real pre-session questions: what this mode trains, how long it will take, and whether it fits the kind of thinking work you want right now.
Learn to name the specific bias operating in any argument, recommendation, or decision. Fluency reduces susceptibility by roughly 30% in follow-up tests.
Rate confidence on every answer. Track the gap between stated certainty and actual accuracy. The top forecasters in the world train precisely this — and it's measurable inside 50 attempts.
Train the move from distorted interpretation to evidence-based reframe. This mode sharpens emotional regulation by improving the thought structure underneath it.
Train emotional self-awareness as a metacognitive skill. Emotional Radar focuses on how feelings distort judgment, not on labelling feelings for their own sake.
Log quantitative predictions on real-world events with timestamps. Your Brier score accumulates; your calibration curve becomes a public receipt of your judgment over time.
Reason clearly when the answer is not fully knowable.
Free
A high-ambiguity mode where the conclusion matters less than the proportionality of your reasoning. This is the purest test of judgment under uncertainty.
Quick
~3 min
Standard
~5 min
Deep focus
~9 min
Trains: Ambiguity handlingAmbiguous, slower judgment work
Train the habit of asking what must be true for a conclusion to follow. Assumption Audit targets the invisible premises that make arguments feel stronger than they are.
Most errors aren't content errors. They're monitoring, control, evaluation, or planning errors. Scan trains you to classify the meta-level failure behind any thinking sample.
Quick
~3 min
Standard
~6 min
Deep focus
~10 min
Trains: Meta-error classificationMeta-review and self-diagnosis
Metacognition is not just noticing errors. It is selecting the best intervention. Strategy Selector trains the mapping from problem pattern to mental move.
Quick
~3 min
Standard
~5 min
Deep focus
~9 min
Trains: Metacognitive regulationPlan before you solve