The reader inputs a name and a skill. On clicking Request Decision, one of 30+ letter templates is selected at random, with {skill} and {action} / {action_noun} substituted from rotating verb lists (integrated, optimised, assimilated, digitized, processed, absorbed, synthesised, catalogued…). A signoff is drawn from ten variants. The letter is displayed on aged paper with typewriter typography. An appeal button triggers one of 20 APPEAL DENIED modal variants — all routed through the same determination system. System interruption dialogs surface at intervals — system notices, productivity tips, philosophical inquiries, efficiency reports — that treat the reader's continued presence as further evidence. A dismissal counter persisted in localStorage increments on each generation and is displayed at page top. A determination archive accumulates in localStorage. Export triggers a download of the current letter as a text file via Blob URL.

Thirteen documents drawn from a hardcoded corpus (AI safety incident, platform moderation variance, biometric deployment, climate modeling, election infrastructure, executive misconduct, contract irregularities, Arctic acquisition feasibility, Greenland infrastructure, regime change operation, military contingency, invasion intelligence, sanctions violations, whistleblower retaliation) are loaded one per session. On Initiate Assessment, the document is rendered word by word with redactions applied at density derived from the confidence slider (1–5; value 3 = 0.6 density). Redacted spans are clickable and reveal the underlying text on click. Pulling the slider to 1 and holding it for 2 seconds triggers epistemic collapse: the system redacts everything, including previously revealed text. Three appeal actions (Increase Exposure) progressively reduce redaction density. After three exposures a FOIA form is unlocked — submitted grounds return one of nine denial variants. Night vision mode applies a phosphor green filter. PDF export via jsPDF renders the document with redaction bars, a random small chance of doubled lines (ghost text), and a footer stating the production of the record neither confirms nor denies the existence of responsive records.

All interactions are captured: keydown, mousedown/up (press duration), touchstart, touchmove (swipe velocity), DeviceOrientationEvent (tilt variance above 5°, direct increment above 30°). Phrases are drawn from four phase vocabularies — Early, Middle, Late, Extreme — each as a second-order Markov chain. Phase threshold is set by contribution count. Simulated other users contribute at stochastic intervals, advancing a collective count persisted in localStorage and synchronised across tabs via storage events. At threshold, the Ghost Training Protocol modal surfaces: on acceptance, a TensorFlow.js sequential dense network is compiled (input [4]: tap rate, swipe velocity, tilt variance, press duration; layers: 8-unit relu → 4-unit relu → 1-unit sigmoid) and trained on the session's behavioural data. A 60Hz sine drone activates on first interaction, gain rising with count. A heartbeat oscillator activates on ghost training acceptance. Session export generates a standalone HTML replay document.

The debt engine measures the gap between keydown events in milliseconds and adds each to a running total. Backspace adds a flat 400ms surcharge. Four thresholds key the phase: SOLVENT (0–10,000ms), LEVERAGED (10,000–30,000ms), INSOLVENT (30,000–50,000ms), FORECLOSURE (50,000–80,000ms). From LEVERAGED: sixteen words in the VULNERABLE set — love, hate, fear, sorry, help, pain, dream, mother, god, die, hope, fail, lost, shame, regret, feel — are replaced with [SENTIMENT_DETECTED] on word completion. From INSOLVENT: 20% of completed words receive a gravity animation, drifting 18px and rotating 3°. The cursor dilates and turns red. At 80,000ms the session freezes and exports a unique SVG: hex Unix timestamp edition ID, timezone, total debt, a per-keystroke latency heatmap (red above 500ms, black below), and the surviving field HTML with all scars intact.

Official sources (White House, UK Gov, EU Commission, SEC, Federal Reserve, Treasury, ECB, SCOTUS, USGS seismic) and dissent sources (Amnesty, EFF, HRW, ACLU, AFL-CIO, Greenpeace, ProPublica, SEIU, The Intercept, RSF) are ingested alternately every 15 seconds. Each fragment enters the ledger as a word-unit span, coloured blue (official) or red (dissent), and immediately begins mutating. The constraint engine selects from 13 Oulipo-derived transforms — LIPOGRAM_E, HOMOPHONIC, PALINDROME, ANAGRAM, SNOWBALL, ROT13, CAESAR_SHIFT, PHONETIC_NATO, NUMERIC_POSITION, XOR_MASK (keyed to 'dearmadta'), VIGENERE (key: CIPHER), REDACTED, STATIC — applied at probability scaling from 0.32 at revision 0–9 to 0.12 at revision 45+. Cross-stage bleed chance (0.15) fires constraints from later stages early. GPT-2 (Xenova, quantized) runs on-device and generates commentary on the constraint drift every 30 seconds; at high mutation counts the observer begins reporting stability while everything decays. Gun.js + SEA keypair connects to a relay network: mutations from peer sessions propagate in. The entropic contract modal (wallet connect) commits a generated witness ID to the Gun graph. Snapshot exports PNG via html2canvas; GIF recording captures 20 frames at 1fps.

Each completed word is evaluated by the adjudication system and assigned one of five intervention types: overprint (CENSORED / REDACTED / VOID stamped in red), block redaction (solid fill), strikethrough, paste intrusion (replacement text injected), or burial. Each intervention is logged to the right-panel sidebar with a reason string, criticality stamp, and critique. The Purity Index bar decrements with each intervention. The Appeal modal accepts formal grounds as a text field: on submission, grounds are SHA-256 hashed via Web Crypto API, appended to an in-session Merkle tree, and returned DISPOSITION: NON-ADJUDICABLE | RELIEF: DENIED. Export: SVG Official Record with text in the left two-thirds, annotations ruled off to the right, all appeal hashes at the foot as MERKLE APPEAL RECORD, surviving text below as SURVIVING TEXT. Mobile receives a hard block screen.

SmolLM2-360M-Instruct is loaded via WebLLM and WebGPU, cached after first download. The model is prompted with one of four rotating templates asking it to describe a canonical painting poetically but ambiguously, as if half-remembering, at temperature 1.1, max 60 tokens. Artworks are drawn from a corpus spanning Renaissance through NFT era; each attempt runs five times before advancing. A gallery card shows title, artist, year, and live Wikipedia provenance. Each sentence is rendered character-by-character. A mutation interval (1.8s or 3.5s, randomly chosen) replaces characters with glitch symbols at probability 0.015 per character per tick. After 25 mutations the text collapses to em-dashes. Meta-commentary fires at up to 10% probability at session open, decaying linearly to zero over 6 hours: the model receives one of 15 hardcoded self-referential prompts instead of an artwork. The corpus degrades on a timer — eras eliminated in sequence — until the pool empties and the frame holds white. Template-based fallback substitutes when the model is unavailable.

Seven RSS feeds (BBC, NYT, TechCrunch, The Verge, Rolling Stone, Bloomberg, ScienceDaily) are fetched via rss2json proxy on load and every 90 seconds. Each headline is cleaned, deduped by a 60-character key, and passed to the Warholification engine: the headline is matched against ten thematic signature regexes (death/disaster, finance, technology, politics, celebrity, climate, science, conflict, food, identity), and a frame is selected from the matched set's array of ten variants — or a generic frame from fifteen options. The frame text is then optionally passed through one of eight STRUCT transforms (repetition, dash repeat, tripling, edition numbering, ellipsis, NO. prefix, parenthesis, slash repeat) at 38% probability. The Warholified text is displayed below the raw headline in a colour-blocked cell. Twelve palettes cycle with no duplicate background on screen. Each cell is stamped with a series label from twelve options and a unique four-digit serial. Clicking a cell copies an image generation prompt to clipboard; a toast confirms. A ticker runs the raw pool. SNAPSHOT triggers a canvas composite export as PNG.

Phi-3.5-mini-instruct is loaded via WebLLM and WebGPU (Chrome/Edge 113+). The model outputs strict JSON with three keys: title (1–4 uppercase words), instructions (1–6 imperatives, one of which must be impossible or must change the meaning of the others), and duration_seconds (15–70). Subject matter is drawn from ~80 seed prompts: AI systems, crypto, attention, latency, notification liturgy, late-session Vesper seeds, and Frame seeds addressing the act of reading on a device. The decay bar drains over duration_seconds. The PERFORM button requires an 800ms hold to register. Outcome is stamped: PERFORMED, EXPIRED, or MISSED. All outcomes are logged to localStorage. After five or more scores, a behavioural observation surfaces — flat, non-evaluative. Once per session, generation is bypassed for a hardcoded Confession score. When JSON generation fails, the error surfaces as a score. Mobile receives one of eight static scores.

Llama-3.2-3B-Instruct-q4f16_1-MLC is loaded via WebLLM and WebGPU (Chrome/Edge 113+; desktop only). Five prompt templates cycle in random order, each seeding a different episode type: paternity and infidelity, family implosion, addiction and recovery, workplace transgression, secrets returning. Each template requests strict JSON output with two keys: name (first name, era-correct working-class American) and descriptor (6–12 words, reductive, present or perfect tense, written by a production assistant who feels nothing). Output is sanitised, validated for length and character set, and rejected if it contains code-like characters, CJK runs, or JS keywords; up to three retries before a fallback fires. An image is selected from a curated set served from the ./images/ directory, discovered on boot via an images.json manifest (required for Netlify static hosting); a directory-listing fallback covers local dev. Images are shuffled without immediate repeat. A 30-second countdown ring triggers each new cycle; the next chyron is prefetched during the countdown so display is near-instantaneous. Space bar forces an immediate cycle. P pauses. Every generated chyron is logged to a session panel (Shift+L); clicking any log entry recalls it to screen. A boot sequence animates on first load. Mobile and non-WebGPU browsers are blocked with a message overlay.