Stage 2 Lane B. Two jobs, both riding the existing prep-bench machinery
(prepQueue drained through enterPrep/runNextPrep before enterToastFlow, results
folded into the judged scorecard) — extended, not rebuilt.
JOB 1 — the juice station is a real day now.
- orders.ts: PrepStep is a discriminated union; new 'juice' kind carries the
juicer tier + optional halve + fixed seed count. Day 12 (Deidre): "fresh
orange juice with the toast" — juicer comes from the ORDER (Pyramid Classic,
the starter, no seed moat), the halve is left clean (dead-centre) so the twist
is the whole test; the halve->juice chain stays M12's own later order. seeds
fixed at 5 so Pips is a skill row, not a lottery.
- game.ts: the Game owns a JuiceView (like PrepView). runNextPrep branches on
step kind; enterJuice mirrors enterPrep. The glass is scored on its own
criteria (juiceCriteria) folded into judge() via a new `extra` param; its
spray joins The Bench through the same prepResult path a cut order uses.
- lines.ts: JUICE_LINES merged into the verdict BANK; juicerRecognitionLine
wired off order.prep (the Juicernaut announces itself before the verdict).
- dev.ts: t.juice(revs, press) drives the REAL routed game.juiceView (not the
__tj sandbox); follow with t.handoff() to serve the glass.
JOB 2 — M14 onions, the technique test (brief section 6).
- The stop-line rides the existing cut sim with one additive hook: on the
onion dice's root-ward first pass, RELEASING the blade mid-saw commits a cut
that stops short of the root (liftKnife now commits + returns its frame).
finishCut is factored so a stopped cut and a through cut share the path.
Saw all the way (progress hits 1) and the root severs -> the layers scatter.
Gated behind pattern { kind:'dice', root:true } so day 10's plain dice
(M11-verified) is untouched. That is the "ending a cut deliberately short"
feel — restraint one cut at a time, not a menu choice.
- Sting clock: stingStep raises sting with open cut-surface x time x how much
you crushed rather than sliced (blunt/squashy = tear gas). Rendered as a
cheap full-screen DOM overlay (radial vignette + backdrop blur) that grows
with sting, plus an "eyes fine/watering/streaming" readout and a green
stop-line marker on the onion.
- Scored as two new rows (judging.ts): The Dice (stem discipline, w1.3) and
The Eyes (sting endured, w0.7). The Pieces (CV) stays the criss-cross
spacing, so the two skills are told apart. Lines for 'dice' and 'sting'.
- Day 13 (the inspector): dice the onion PROPERLY with The Best Thing.
- dev.ts: t.chop gains stopAt; t.diceOnion({stopAt|through}) drives both.
Constants and why:
- STOP_MIN 0.15 — a release shallower than this is a fumble, not a stop.
- STING_RATE 0.02 — a sharp, quick clean dice finishes ~0.05 (clear-eyed);
the same onion left open 10s floods to 1.0. Sharp+fast wins, dawdling blinds.
- stemDiscipline band: full marks 0.55..0.9 depth, graze 0.9..0.97, through
>=0.97 = confetti; undercut <0.55 = joined chunks.
- t.diceOnion default stopAt 0.8 -> commits ~0.85, level with the 0.82 marker.
Verified headless (deterministic; sim is pure):
Day 12 juice, t.day(12); t.juice(3, 0.7):
extracted 0.728, theoretical 1.0, yieldOfReachable 0.728, pips 4,
seedsCaught 0 (Classic has no moat -> serve the pips or fish them).
Criteria: The Juice score 0.631 (w1.3), Pips 0.200 (w1.1). t.handoff()
serves the glass; the toast half then runs as any non-loaf day, and the
scorecard shows THE PREP (The Juice, Pips, The Bench) beside THE TOAST/SPREAD.
Day 13 onion, t.day(13); t.diceOnion(): // proper dice, stop short
16 pieces, CV 0, rootThrough 0, stopDepths [0.85,0.85,0.85],
The Dice score 1.000, sting 0.052 -> The Eyes 0.939 ("clear-eyed").
t.day(13); t.diceOnion({ through: true }): // cut through the root
rootThrough 3, stopDepths [1,1,1], The Dice score 0.000 (confetti line
fires), CV still 0 -> the disaster reads on The Dice, not a lying CV.
Sting accumulation: after a proper dice, t.run(600) (10s idle) ->
sting 0.052 -> 1.000 ("blind"), The Eyes 0.939 -> 0.000. The cut onion
stings while it sits, exactly as it should.
Plain dice unaffected: onion { kind:'dice', n:4 } (no root) -> 16 pieces,
CV 0, rootThrough 0, phase done — M11's day 10 is byte-for-byte the same test.
typecheck clean, npm run build clean.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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| .claude | ||
| public/assets | ||
| scripts | ||
| src | ||
| .gitignore | ||
| index.html | ||
| MASTERPLAN.md | ||
| OPUS-BUILD-BRIEF-2.md | ||
| OPUS-BUILD-BRIEF.md | ||
| package-lock.json | ||
| package.json | ||
| README.md | ||
| tsconfig.json | ||
| vite.config.ts | ||
TOASTSIM
Bread goes in. You are judged.
A browser game about making toast, where the inputs are analog and the output is scored by a man who has been doing this for thirty-one years.
npm install
npm run dev # http://localhost:5173
The loop
Order → toast → drawer → spread → verdict → next day.
- The ticket tells you what someone wants: how dark, which spread, how much, which utensil, and whether they'll tolerate burnt bits.
- The toaster has a dial and a lever and no timer. You go by smell.
- The drawer makes you find the right piece of cutlery in a tangle of similar ones — while your toast goes cold.
- The bench is where the game actually lives. See below.
- The judge scores nine criteria and has something to say about the worst one.
The mechanic
One control — the knife's angle (mouse wheel) — and three behaviours fall out of it:
| angle | contact | what happens |
|---|---|---|
| flat | wide, low pressure | spreads — or tears the bread, if the spread is stiffer than the pressure you're allowed to make |
| steep | narrow, high pressure | scrapes spread back off, or lifts char off burnt toast |
| steep + fast, on bread with nothing left to take | gouges |
The trap: pressure comes from steepness, but past the scrape threshold a steep knife stops spreading. So a spread can demand more pressure than spreading mode can physically give:
| situation | yield | angle needed | scrape cliff at 0.62 |
|---|---|---|---|
| fridge butter / cold toast | 0.72 | 0.75 | impossible |
| bench butter / cold toast | 0.54 | 0.57 | one click from disaster |
| fridge butter / fresh toast | 0.36 | 0.38 | fine |
| soft butter / fresh toast | 0.16 | 0.12 | dream mode |
Cold toast with hard butter cannot be spread at any angle. The way out isn't technique — it's not dawdling in the drawer. That's why the drawer is there. The pressure gauge draws both marks so you can watch the gold sit past the red and understand exactly why you're losing.
Scraping is the other tension: it rescues burnt toast and wrecks evenness doing it (char 99.9% → 54.5%, evenness 0.029 → 0.226). The judge notices both.
And MITEY is its own skill: spread it on, then take almost all of it back off. He wants to see the toast through it.
Peanut butter comes smooth or crunchy, and both are natural — the jar
separates while it sits. The oil rises; the paste underneath dries out. An
unstirred first dip is a slick (flows at almost no pressure, goes on thin and
shiny), the dips after it are grout (fights like cold butter). Swirl the knife
in the jar — about two and a half circles — to mix it back, and yes, stirring
costs time, and time costs toast warmth. The judge reads the mass-weighted mean
and spread of the consistency that actually landed: oil 0.50 ±0.00 — just right versus oil 0.54 ±0.23 — slick here, grout there, because a slick strip
and a grout strip average to "correct" and nobody eats the average. Crunchy
additionally has chunks, and the chunks are judged like rind (below).
Marmalade adds a second axis: the rind. Bits drop off the blade per unit of stroke distance, so a dabbing knife makes a pile and a moving knife lays a trail — and because the shed rate scales with what's left on the blade, one dip can't cover the slice. The judge scores the scatter with the Clark–Evans nearest-neighbour index (R ≈ 0 one clump, 1 random, above 1 deliberately even) and quotes it on the card: a corner dab reads "one clump (R 0.24)", three well-placed dips read "evenly strewn (R 1.17)". Scraping picks rind back up, so a clump can be argued with rather than started over.
The bread
Same dial, same 18 seconds, four breads:
| bread | 4s | 9s | 18s | char |
|---|---|---|---|---|
| white | 0.22 | 0.54 | 1.08 | 93% |
| multigrain | 0.20 | 0.52 | 1.06 | 92% |
| raisin | 0.30 | 0.76 | 1.14 | 99.8% |
| sourdough | 0.11 | 0.33 | 0.74 | 14% |
Sourdough's water has to boil off before the crust can brown, so it stalls and then accelerates hardest. Raisin bread is sugar: it browns early and burns early.
How it's built
- Vite + TypeScript + three.js, Rapier for the drawer. No framework; the UI is a DOM overlay over one WebGL canvas.
- The slice is the whole game's canvas: an extruded loaf silhouette with four
128×128 scalar fields —
browning,dryness,spread,damage— packed into one RGBA8 texture per frame and composited by a custom shader. Everything the player does writes a field; everything the judge reads is a statistic over one. - Cutlery is procedural on purpose. The drawer asks you to tell a dessert fork from a dinner fork, and that's only fair if the silhouettes are authored.
- Physics: compound boxes, never trimeshes. Grabbing is a capped PD spring, so a snagged piece fights what's lying on it instead of tunnelling through.
Layout
src/
core/ app + loop, input, seeded rng, 2D field, synthesised audio
sim/ bread, slice (geometry/fields/shader), toasting, spreads,
spreading (the star mechanic), cutlery
scenes/ kitchen (toast + spread), drawer (rapier), judge, props
game/ game loop, orders, judging rubric, the judge's lines
ui/ hud, title, cutlery silhouettes
dev.ts dev-only harness — drives real gestures deterministically
Dev harness
The game is driven by mouse gestures over a 3D scene, which makes "does it work"
hard to answer by inspection. In a dev build, window.__t drives the real code
paths at a chosen dt:
__t.toast(10, 6) // lever down, 10s at power 6, pop, land
__t.spread(9, 0.55) // dip and raster the slice at 0.55 units/sec
__t.stats() // every field statistic the judge will read
It's also the escape hatch for headless browsers that never fire rAF —
everything calls app.step(dt) directly.
Assets
Every asset was generated on-device and free via MODELBEAST, and is reproducible:
./scripts/gen-assets.sh # fixed seeds; skips anything already present
flux_local → bg_remove_local → hunyuan3d_mlx. The judge's five expressions
are one fixed seed and one fixed description with only the expression phrase
varying, which is why he stays the same man while his face falls.
The toaster is procedural rather than the generated GLB — it needs a lever we can actually drive, and a dial that turns.