Run the trial
Complete a short obstacle course while the page records compact, local performance signals.
AIMAXIN Lab / Second Player
Second Player is a WebMCP play lab where an agent can inspect a short trial and propose one narrow adjustment. Nothing changes until the player approves it—and no comparison can call it better until the player reports how it felt.
One bounded experiment
The agent helps carry evidence across the loop. The human decides what may change and remains the only authority on whether the experience improved.
Complete a short obstacle course while the page records compact, local performance signals.
The agent reads bounded measurements and their limits instead of inventing a diagnosis.
A narrow proposal becomes actionable only after the player gives exact, visible permission.
After the second run, the player's own check-in unlocks comparison, keep, and undo.
The interface is the permission model
WebMCP is not a hidden shortcut around the game. Each capability appears only when the visible human workflow has earned it.
The agent can inspect the trial and supported options, but it cannot quietly apply a tune.
The apply capability becomes visible for the approved proposal—and no broader change.
The agent can summarize both runs, but the player's report constrains the verdict.
Evidence, not magic
The prototype demonstrates a control pattern for human-agent collaboration. It does not diagnose a player, certify accessibility, or pretend that telemetry can speak for someone's lived experience.
Built for the 2026 WebMCP Challenge
The public challenge build, source, and demonstration will be linked here after the final validation pass. Until then, the page documents exactly what the current build proves.