ASCII Dream Loom

while (world) {
  observe();
  infer();
  hallucinate?();
  self-correct();
}
while (world) {
  observe();
  infer();
  hallucinate?();
  self-correct();
}
while (world) {
  observe();
  infer();
  hallucinate?();
  self-correct();
}

001101
010011
sigil::bagua
seed::entropy
trace::mechanical
awe::human
001101
010011
sigil::bagua
seed::entropy
trace::mechanical
awe::human
001101
010011
sigil::bagua
seed::entropy
trace::mechanical
awe::human

temperature=0.92
top_p=0.95
sampler=stochastic
runtime=deterministic
user=astonished
temperature=0.92
top_p=0.95
sampler=stochastic
runtime=deterministic
user=astonished
temperature=0.92
top_p=0.95
sampler=stochastic
runtime=deterministic
user=astonished

☰☱☲☳☴☵☶☷
oracle != truth
ritual == interface
meaning <- interpretation
☰☱☲☳☴☵☶☷
oracle != truth
ritual == interface
meaning <- interpretation
☰☱☲☳☴☵☶☷
oracle != truth
ritual == interface
meaning <- interpretation

diff
patch
deploy
measure
repeat
diff
patch
deploy
measure
repeat
diff
patch
deploy
measure
repeat

oracle/latent-seed.map

seed = hash(question + state);
noise = sample(temperature);
pattern = deterministic(seed, noise);
if (human_can_track === false) mark("mystic");
return explainability_gap(pattern);
seed = hash(question + state);
noise = sample(temperature);
pattern = deterministic(seed, noise);
if (human_can_track === false) mark("mystic");
return explainability_gap(pattern);

critique/anthropomorphism.md

## Not a person, still persuasive
- interface implies intention
- language implies confidence
- user infers agency
=> design for interpretability
## Not a person, still persuasive
- interface implies intention
- language implies confidence
- user infers agency
=> design for interpretability

systems/ritual-engine.ts

cast.bagua = pickTrigrams(seed);
cast.moonBlocks = deriveHexagram(seed);
cast.fortuneSticks = burnModel(intensity);
cast.scapula = generateCracks(seed);
return readable_fiction(cast);
cast.bagua = pickTrigrams(seed);
cast.moonBlocks = deriveHexagram(seed);
cast.fortuneSticks = burnModel(intensity);
cast.scapula = generateCracks(seed);
return readable_fiction(cast);

runtime/feedback-loop.json

{ "observe": true,
  "decide": constrained,
  "act": reversible,
  "measure": behavior,
  "learn": weekly }
{ "observe": true,
  "decide": constrained,
  "act": reversible,
  "measure": behavior,
  "learn": weekly }

lattice/state-space.py

def perceivable_randomness(system):
    return complexity(system) > attention_budget

if perceivable_randomness(llm):
    user.labels_output = "fate"
def perceivable_randomness(system):
    return complexity(system) > attention_budget

if perceivable_randomness(llm):
    user.labels_output = "fate"

logs/epoch-ghosts.txt

[trace] t=02:13 system murmurs
[trace] tokens fall like ash
[trace] certainty simulated
[trace] mechanism remains
[trace] human names it chance
[trace] t=02:13 system murmurs
[trace] tokens fall like ash
[trace] certainty simulated
[trace] mechanism remains
[trace] human names it chance

artifact/scapula.svg

artifact/flow-sketch.svg

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2026 live

Prompt-to-ASCII image creator that turns text concepts into generated character art with controllable style, density, and resolution.

Astro
TypeScript
Procedural Generation
Creative Coding

Demo

Problem

Most generative tools hide the rendering process and require heavyweight model infrastructure for even playful concept exploration.

Solution

Built a deterministic prompt-seeded ASCII renderer that runs entirely client-side: no API key, no backend dependency, fast iteration, and exportable outputs.

Impact

Demonstrates productized creative tooling with instant feedback loops, explainable generation mechanics, and zero-infra deployment on static hosting.

ASCII Dream Loom is a compact creative tool: describe a concept, choose style controls, and generate text-native visual output.

What it proves

Prompt-based generation can be made transparent and deterministic
Creative AI-style experiences can run fully in static hosting environments
Good UX controls (reroll, copy, download, presets) matter as much as generation quality

Demo flow

Enter a concept prompt
Pick style, density, and character ramp
Generate, reroll, and export to .txt

For a full interactive run, open the live demo.

Demo Mirror

Live Preview

Mini preview of the actual demo. Use the launch button for full-screen interaction.

Open Demo