01A fast algorithm has a planned grip path
Every move should specify which finger acts and where that finger lands for the next move. An algorithm with fewer move tokens can still be slower if it forces a stop, regrip or awkward wrist reset.
Good execution feels repeatable rather than desperate. It preserves cube control, reduces lockups and ends in a position that supports AUF or the next pair.
02A practice sequence that builds the skill
Learn U and U’ index flicks, R U R’ U’ triggers, double U2 flicks and common F push or pull entries. Add M moves and wide-turn techniques only after the core R U grip is stable.
Loop two- to four-move triggers at a speed where every turn is clean. Record ten executions, rest and repeat. Then place the trigger inside a full algorithm without changing the starting grip.
03How to measure improvement
Track average execution, worst execution and success rate. A slightly slower average with no lockups is more valuable than one fast outlier surrounded by failed attempts.
Use the algorithm-page timer and compare primary versus alternative algorithms from the same starting orientation. Keep the option with the strongest repeatable average, not only the best single.
04Common mistakes and what to learn next
Avoid over-tight gripping, moving the whole hand for every U turn, inventing a regrip mid-algorithm and practicing only at maximum speed. Tension hides weak transitions until full solves.
Apply the technique to Sune, T-perm and Ua-perm, then combine smooth execution with lookahead so fast turns do not create longer pauses.