Personal AI Assistant

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

Personal assistant app for planning and execution support with clear action flow and follow-through.

React 18
TypeScript
Vite
Supabase
Tailwind CSS

Problem

Most personal productivity and coaching tools are either too generic or too rigid, so users drop off quickly.

Solution

Implemented a configurable assistant UI foundation for rapid prompt and flow iteration inside a production-ready frontend scaffold.

Impact

Provides a reusable base for evolving assistant features into a maintainable app architecture.

This repository is the code-backed implementation track for the personal assistant concept. Read the companion essay: Philosophy of Personal AI Assistant.

Current direction

Rapidly test assistant interaction patterns
Keep UX and code structure easy to evolve
Use a modern React stack with clean component primitives

Notes

Initial concept iterated quickly, then rebuilt for full control and maintainable ownership
Stack aligns with other projects for fast cross-project reuse

Demo Mirror

Live Preview

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

Open Demo