DAILY AIM · 30 TARGETS · DATE-STABLE COURSEDaily Aim Trainer
Complete one deterministic thirty-target pointer course for the date. Daily Aim keeps its own local history and streak while remaining strictly separate from the frozen Today’s 6 rotation.
One course for the calendar day
Daily Aim provides one date-stable Baseline course for each calendar day. The date is converted into the same deterministic planning system used by seeded Practice, so reopening the same Daily date recreates the same target order instead of drawing a new random sequence each time. That makes the session replayable for verification and easy to resume conceptually across devices, although local completion history itself remains in the current browser. The Daily course uses the familiar thirty-target Baseline rather than silently changing mode from day to day, keeping the meaning of the specialist record consistent.
Daily Aim is not Today’s 6
This specialist Daily exists beside the main DailyBrainArc rotation rather than inside it. The frozen 2026 Today’s 6 sequence remains unchanged, and Aim Trainer is not added to its source pool. Completing Daily Aim writes to the Aim specialist history and streak only. It must not increase the Today’s 6 completed-day counter, alter a frozen lineup slot or change the established daily hash. This separation is deliberate: specialist games can offer their own date-based ritual without destabilizing a product contract that was previously sealed and independently verified.
Why Daily uses Baseline 30
Baseline is the most straightforward Aim Trainer mode: one visible target at a time, thirty successful selections, explicit miss counting and timing for every successful acquisition. Daily therefore uses this mode so one date is directly comparable with another date on a similar device. Precision, Switching and Tracking remain available in ordinary Practice, where you can choose the task intentionally. Locking Daily to one rule set avoids a streak in which a tiny-target Precision day and a twenty-second Tracking day produce fundamentally different result structures under the same record label.
The date controls the course, not your score
The Daily date determines only the visual course. It does not predetermine how quickly you will reach each target, whether you will miss or what result you will record. Human input timing is measured live with the browser’s high-resolution timing clock. The deterministic plan simply makes target placement reproducible. That distinction is important because reproducibility should help QA and fair personal replay without turning the application into a scripted result. A user can perform differently on repeated runs of the same date, while the underlying target locations remain stable.
What counts as a miss
A pointer-down event inside the active arena that does not select the valid target counts as a miss and leaves the same target active. This prevents inaccurate extra inputs from disappearing from the record. The Daily summary can therefore show both target timing and accuracy. A clean run is not automatically called better than every faster run; the literal measurements remain visible so you can decide which pattern matters to you. Miss rules are the same as Baseline Practice, so Daily does not use a hidden scoring exception merely because a streak is involved.
Daily completion and streak rules
When all thirty Daily targets are completed, the specialist writes that date to its own local history and recalculates the specialist streak. Reopening a completed date can show the saved completed state rather than incrementing the streak again. Consecutive-date logic is based on calendar day keys rather than elapsed twenty-four-hour intervals, which avoids strange results around the time of day a session was played. The best-streak field is kept with the specialist state. These records are local to the browser and can disappear if the site’s local storage is cleared.
Personal records should stay device-aware
Daily repetition can tempt users to compare every date as if the measurement environment were identical. Pointer tasks are sensitive to device size, mouse or trackpad behavior, touch input, browser zoom, display conditions and system settings. If your setup changes substantially, the safest interpretation is that you started a new measurement context. DailyBrainArc does not correct scores with a secret device model and does not claim that a result maps to a universal skill percentile. The date-stable course improves reproducibility, but it cannot remove hardware differences from a browser-based pointer task.
No penalty for opening the page early
Loading Daily Aim does not itself mark the date complete and does not consume an attempt. The specialist record changes only when the actual course is finished. This allows you to inspect the page, understand the controls or return after an interruption without destroying the day. A visibility interruption during an active timed attempt invalidates that in-progress run rather than allowing a long hidden interval to contaminate the target timing. The design favors understandable state transitions over artificial scarcity mechanics or a one-click mistake that permanently ruins the date.
Why there is no global Daily leaderboard
The project currently keeps Daily Aim records in local browser storage and does not run a remote account or ranking service. More importantly, pointer performance depends enough on input hardware and display conditions that a universal leaderboard can suggest more precision than the measurement supports. The page therefore emphasizes your own completed dates, local bests, timing and accuracy. It does not fabricate a server population, percentile or age group. This keeps the implementation honest and cost-free while still giving the Daily specialist a reason to return through calendar history and streaks.
Use the same setup for a cleaner trend
For a personal Daily series, consistency is more useful than trying to optimize every possible variable. Use roughly the same browser zoom, input device and comfortable posture when practical. If you switch from a small trackpad to a large mouse setup, note mentally that the context changed. Run the course normally instead of trying to memorize exact coordinates from a prior attempt; each calendar date has its own deterministic layout. Over time, the local history can show participation while individual session summaries give the literal timing and accuracy details for each completed run.
Daily Aim on touch screens
The application uses browser pointer events so Daily Aim can be completed with direct touch as well as mouse-like devices. Targets remain within padded normalized bounds so they are not intentionally placed half outside the arena, and the responsive layout prevents horizontal overflow on the tested mobile viewport. A touchscreen result remains a touchscreen result: direct tapping is mechanically different from moving a cursor with a mouse or trackpad. The interface supports both because accessibility and reach matter, not because it assumes their millisecond values can be compared without context.
Daily history is specialist-only state
Aim Trainer has its own `aimStats` object with Daily history, current streak, best streak and last-solved date alongside ordinary session information. During V0.104 to V0.105 migration, the platform creates the new specialist state while preserving previously stored Reaction Time, Star Battle and other game records. The old serialized store is not mutated in place; V0.105 writes a new versioned store. That migration contract matters because adding one new Daily specialist must not erase or reinterpret the progress already earned in earlier canonical releases.
Reopening a completed date
A date that is already recorded as complete should restore as complete instead of granting another streak increment. This behavior is part of actual browser QA rather than an assumption based only on helper functions. The release test creates a populated prior-version fixture, finishes a Daily Aim course through the rendered application, confirms the specialist history and Today’s 6 containment, then reloads the same date to verify restoration. That end-to-end check catches integration errors that a pure deterministic course verifier would not see.
Why Daily has one focused search page
Daily Aim is a genuinely different intent from open-ended Aim Trainer Practice because it promises one repeatable date-based course and specialist streak. That justifies one focused Daily guide. It does not justify pages for every calendar date, target index, score threshold, device type or target size. Those would multiply URLs without adding a distinct product. V0.105 therefore keeps exactly two Aim acquisition surfaces in total: one general Practice guide and this Daily guide, both routing into the single real `/games/aim-trainer/` application.
What the independent verifier checks
The core verifier does not trust the UI to declare its own courses valid. It generates thousands of seeded plans for all four modes, checks every normalized point against the allowed bounds and minimum-spacing contract, verifies that Switching sessions contain valid candidate groups and balanced active choices, samples Tracking interpolation along deterministic paths and derives Daily keys across an entire year. It also checks summary calculations for timing, accuracy and tracking percentage. Browser interaction QA then covers what the core verifier cannot: actual pointer events, rendered targets, migration, storage and Daily completion.
A small daily ritual without exaggerated claims
Daily Aim is intended as a brief coordination challenge and a reason to return, not as a diagnosis or a prediction of performance outside the browser. A faster or more accurate day can be satisfying, and a streak can make practice easier to remember, but normal variation is expected. Sleep, attention, device conditions and simple randomness in human movement can all affect a session. The interface therefore sticks to observable facts—targets, time, misses, accuracy, completion date and local history—rather than converting a short browser exercise into claims the product cannot support.