The chain built its own worst moment: hero and tail deadlock at orientations 0
and +2 and open only at +1, with +3/+4/+5 left entirely to chance. That is why
some levels released at exactly one of six orientations, and why every model
kept writing "I don't know which way to turn" — at +2 one direction was right
and the other five were dead ends.
createDeepLock now traces candidates at all six orientations and requires the
tail to also release at +3, certified with the real swept tracer. A player
stuck at +2 turns either way and something moves. Measured by the rule bot
over the regenerated set: blind rotations, wrong-way turns and extra rotations
all go to zero, from 1.17 / 0.44 / 1.22 per level. Endgame orientation counts
shift from {1:4, 2:10, 3:4} to {2:3, 3:13, 4:1}.
It costs yield: switchback r3 and crossing r3 now produce nothing, and the set
comes out at 17 levels rather than 18. The test witnesses moved with it — a
witness is whichever seed still satisfies the construction, so they are
re-derived from the sweep rather than pinned.
docs/level-board.html is the task board for getting to 50 levels. Task state is
in bench/board.json; every number on the page — candidate count, rotation
quota, blind turns, monkey actions-per-piece, the agent batches — is measured
from the level set and the run archive at build time.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
The shipped 1000 levels have a hole: 568 of them need no rotation at all, and
none needs more than two — the mechanic the game is built on is mostly
decoration. This fills the empty band with levels that need at least three.
createDeepLock builds a four-piece chain where each link only releases at a
later orientation, and growDeepLevel packs the rest of the board around it
without opening a shortcut. Candidate pools are built per orientation and left
untruncated; ranking by bend count first starved the packer and capped levels
at four to six pieces instead of twelve.
deadTurnAudit enumerates every reachable (orientation, remaining-set) state to
prove no dead ends exist, and counts how long a player can be left with
nothing to do — solvable and feeling solvable are different things, which is
what "level 2 is impossible" turned out to be about.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Let any agent with a shell play a level the way a person does: look at the
board, decide what to tap or which way to turn, read the feedback, decide
again. Every step carries the agent's own reason, so a human can watch and
judge the level from how it was played.
observe() returns what the eye sees — each piece's drawn route, which cells it
crosses, who is sitting on it, and who it brushes past — never "which pieces
can leave". act() goes through the real Game rules; metrics() scores the run
afterwards with the solver.
Pieces are wide, so a route with nobody standing on it can still be blocked by
a neighbour the curve hugs. That is invisible in a cell listing, so every
obstacle is reported, on-route and grazing alike: reporting only the leading
one hid the rest, and in 113 of 581 such cases clearing the blocker sprang a
collision the agent had never been shown.
AGENT.md is the single file an agent reads — rules, board reading, commands,
rating scale, worked example.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Add the paper direction with thin tracks, outlined hexagons and line arrows, without exterior color markers or piece numbers. Add a unified catalog for five designs and their 25 themes, with direct review links.
Organize each design into an authored design.md, generated tokens.json and preview. Add Agent routing, shared integration guidance, a machine-readable manifest and an executable rendering example. Preserve legacy preview and document links.
Validation: 16 focused design, theme and package tests passed; npm run design and static build passed. Confirmed all eight authored documents survive generation unchanged. Browser checks covered mobile, tablet and desktop layouts, theme links and migrated previews. Native engine integration and visual verification remain pending.
Restore v0.1 and v0.2 archives with separate progress, publish the curved v0.3 campaign, and document the original 24-level design with reproducible evidence. Refine board presentation and movement, and keep video lab tooling within its own directory.
