ADMM · DETAIL

How ADMM becomes you.

The complete picture — the architecture, the nine-chapter pipeline, and the road ahead.

BECOMING · GROWTH SCENARIO

The more we talk, the more we grow

As our conversations gather, synapses cluster and the tree grows lush. Sign in and your own tree grows — for real — on your dashboard.

CHAPTER 01 · MEETDay 1

We meet

In the first days, we pick up your voice and what you care about — the first sentence that sounds like you is born here.

CHAPTER 02 · RECOGNIZEDay 90

Patterns emerge

As moments pile up, your emotional rhythms and recurring choices come into view. We learn what “so you” really means.

CHAPTER 03 · BECOMEDay 365

A fuller you

Now we sense how you feel first, and answer — even decide — in your own style. Even when you’re away, as you.

Using ADMM is simple — just live alongside us. No setup, no dashboard to manage. Here's what we quietly do while you go about your day:

Self-evolution

No “train” button. Every conversation nudges us closer to you — the more we talk, the more we become you, on our own.

Always with you

We live on your device, always by your side. Even when you’re away, we can act for you — as you.

We talk, together

By text or by voice. Ask anything and we recall your moments to answer inside your own context.

Memory that notices

We keep the moments that mattered, and point out the patterns that keep repeating — before you ask. (Pattern nudges unlock as we grow.)

That day, redrawn

Say “what was there again?” and from your GPS trail we recreate that day and place as a first-person image.

Learns your way

Opt-in: we learn your real rhythms — gait, expressions, habits — over time. Not face-reading; understanding how you move through the world.

Health, as signals

We watch body signals like HRV, sleep and steps and flag changes gently. Signals, never a diagnosis — when it matters, we nudge you to see a professional.

Wholly yours

Memories and keys stay on your device — on-device first, encrypted. We never hand you over to anyone.

Everything here becomes real on your dashboard — the tree grows only as far as we've actually learned. No faking.

Start your tree

In every moment

In every moment, the us beside you.

A new day, together

Like morning light, a warm glow that gently wakes the day beside you.

Beside you, even in focus

In moments of deep focus, a quiet light that simply stays.

Right beside your choice

When you hesitate, quietly there — 'this one feels more you.'

Wherever you go, together

Even on unfamiliar roads, a journey you don't take alone.

Brighter, together

Even amid laughter, a gentle light beside you makes the moment shine.

A gentle comfort at day's end

On a weary night, a warm light that simply stays beside you.

One body,
two existences.
Your digital alter ego
lives on.

The human brain links 8.6 billion neurons across 100 trillion synapses to create "you." ADMM transplants this architecture into an AI neural network. Even when you're away, your digital self acts on your behalf.

"The brain does not operate through pairwise interactions — it functions as a multi-region cooperative network activating simultaneously."

Nature CommunicationsUniversity of Birmingham · 2024

"Brain-region-inspired specialized LLM modules interacting cooperatively significantly outperformed single LLMs in planning and reasoning tasks."

Nature CommunicationsModular Agentic Planner (MAP) · 2025

"The human brain's 8.6 billion neurons form 100 trillion synapses — a scale too vast for the brain itself to fully comprehend."

Harvard Medical SchoolConnectomics Lab · Wei-Chung Allen Lee
8.6B
Neurons
Azevedo et al., 2009
100T
Synaptic Connections
Harvard Med. School
200+
Distinct Brain Regions
PLOS, 2024
20%
Body's Energy Budget
PNAS · Brain share

Architecture · Inspiration

Brain–AI Structural Analogy Mapping

This mapping represents a functional analogy, not a 1:1 equivalence. Modern neuroscience emphasizes that cognition is distributed across regions — ADMM uses this as inspiration for its system architecture.

Frontal LobeOrchestrator LLM
Judgment · Planning
Temporal LobeLong-term Memory LLM
Memory · Storage
Parietal LobeMultimodal LLM
Multi-channel
Limbic SystemPersona Layer (LoRA)
Emotion · Pattern
Corpus CallosumBridge (Redis Bus)
L-R Bridge
CerebellumFine-tuning (QLoRA)
Habit · Learning
Brain Region (Biological)
LLM Module (Computational)
LoRAFine-tuned module

The pipeline that
turns signal into
a second self.

Three columns, one direction. Raw inputs flow into a private pipeline that produces a small, opinionated model. The model powers seven modules that, together, behave a great deal like you.

01 · INPUTSTHE RAW MATERIAL OF A LIFE
VOICETEXTPHOTOSHEALTHCALENDARLOCATIONBROWSE
02 · SPINE
INGESTEMBEDCLUSTERDISTILLTUNEEVALSERVE
03 · MODULESWHAT THE TWIN ACTUALLY DOES
MEMORYPERSONALITYREASONINGVOICESTYLEVALUESGUARDRAILS
CHAPTER · 01CAPTURE

Catch every moment before it fades.

ADMM passively collects from seven input channels — chat, voice, journal, emotion, behavior, biometric, and multimodal — building a living data portrait that captures who you are, not just what you type.

7 INPUT CHANNELS
KEY POINTS
01Chat logs · voice memos · journal entries · emotion tags · behavior signals
02Biometric sync: HRV, sleep stages, step count via HealthKit / Google Fit
03Passive ambient capture with explicit per-channel opt-in controls
04All raw data encrypted at rest — on-device processing by default
METRICS
7
Input channels
<50ms
Capture latency
On-device
Storage mode
INPUTS · 7 SOURCES1 CAPTURE.ADMM
CHAPTER · 02REFLECT

Speak. Whisper. Be overheard by yourself.

Voice memos, midnight journals, quick notes — every reflection feeds the model. Your unfiltered thoughts become the richest training data for the most personal AI ever built.

VOICE + TEXT · REAL-TIME
KEY POINTS
01Voice memos auto-transcribed with speaker diarization at 48kHz
02Sentiment analysis and emotion tagging run fully on-device
03Temporal tagging: every entry linked to time, mood, and location context
04Journal entries segmented by topic, people, and emotional valence

Private by default — zero cloud exposure without explicit consent.

METRICS
5
Reflection modes
98%
Transcription acc.
On-device
Processing
MODALITY · VOICE + TEXT2 REFLECT.ADMM
CHAPTER · 03PATTERN

Your habits are whispering. We translate.

Sleep cycles, response latencies, word frequencies — the patterns you never notice tell the story your words don't. ADMM reads between the lines of your daily life and surfaces what you've never seen about yourself.

BEHAVIORAL HEATMAP · 90 DAYS
KEY POINTS
01Sleep/wake cycles correlated against cognitive output quality scores
02Linguistic drift detection — vocabulary and tone changes over weeks
03Circadian rhythm modeling: peak focus window predicted daily
04Behavioral entropy score: how consistent you are across contexts
METRICS
30+
Tracked signals
90 days
Rolling window
Daily
Update frequency
ANALYSIS · BEHAVIORAL3 PATTERN.ADMM
CHAPTER · 04MODEL

Six minds, one you.

A dedicated orchestrator routes your data to six specialized LLM modules — each expert in a different facet of your identity. Language style, emotion mapping, episodic memory, behavior modeling, multimodal perception, and self-consistency all run in parallel.

6 SPECIALIZED LLM MODULES
KEY POINTS
01Orchestrator LLM (128K ctx) routes context and synthesizes final output
02Long-term Memory LLM stores episodic vectors in pgvector
03Persona Layer uses LoRA r=16 — only 16MB extra per user
04Bridge Bus (Redis Pub/Sub) synchronizes all module outputs in real-time
METRICS
6
LLM modules
128K
Context window
16MB
LoRA size / user
MODULES · 6 LLM4 MODEL.ADMM
CHAPTER · 05GROW

Better at knowing you than you know yourself.

LoRA weights update in real time. EWC prevents forgetting. Every conversation makes the model sharper. By day 100, ADMM knows patterns in you that you've never consciously noticed — and it keeps getting better.

ACCURACY OVER TIME · CONTINUOUS
KEY POINTS
01EWC (Elastic Weight Consolidation) prevents catastrophic forgetting
02Replay Buffer: retrain on prior conversations to preserve long-term memory
03Active Learning: high-uncertainty inputs prioritized for labeling
04Meta-Learning (few-shot): new users reach baseline accuracy in < 7 days

Day 100 model is measurably 3.2× more accurate than Day 1.

METRICS
Real-time
Update cycle
3.2×
Day 100 vs Day 1
< 7 days
Onboarding
LEARNING · CONTINUOUS5 GROW.ADMM
CHAPTER · 06REMEMBER

Nothing you've told us disappears.

An episodic memory engine stores every significant moment — not as raw text, but as semantically indexed vectors across a persistent knowledge graph. Ask ADMM about something from three years ago. It will remember.

EPISODIC MEMORY · VECTOR INDEX
KEY POINTS
011536-dimension vector embeddings per memory fragment (text-embedding-3-large)
02HNSW cosine similarity search returns results in < 10ms at 1M memories
03Emotion-tagged episodic index: VAD (valence, arousal, dominance) per entry
04Forgetting curve applied — salience score determines long-term retention
METRICS
1536
Vector dimensions
<10ms
Search latency
1M+
Capacity
MEMORY · EPISODIC6 REMEMBER.ADMM
03 · How It Works

Your digital self, built in 4 steps

This isn't just AI chat. A 5–15 minute daily routine grows both your mind and your ADMM together.

STEP 01 / 04

Input what defines you

"Who am I?" — this question is where your digital self begins.

Enter your values, ways of thinking, and experiences that matter. No set format required. Three keywords work just as well as a long story. However you feel comfortable.

"When LLMs learn from human language and experience data, they begin forming response characteristics increasingly similar to that individual's cognitive patterns."

arXiv 2025 · Brain-Inspired Functional Networks in LLMs

  • Input values · worldview · beliefs
  • Record key experiences · memories · emotions
  • The more you add, the sharper your self becomes
digitalmindme.ai/onboarding
ADMMearly access

Step 01 · Define Self

Input what defines you

Next — Start neural training

Roadmap

Four phases.
One destination.

01ACTIVE

2026

MVP Launch

  • ·Web launch · waitlist of 5,000 users
  • ·MVP with 2 core modules
  • ·Orchestrator + Memory
  • ·Early pilot program begins
02PLANNED

2027

Beta & Commercialization

  • ·Closed beta — 1,000 users
  • ·All 6 LLM modules integrated
  • ·Pro tier launch
  • ·3 B2B pilot partners
03PLANNED

2028–29

General Release

  • ·Full public launch
  • ·Limited API access
  • ·1–2 clinical research collaborations
  • ·Unit economics validation
04HORIZON

2030–32

Global Expansion

  • ·Global rollout
  • ·Digital legacy feature launch
  • ·V6 / V7 research track active
CHAPTER · 07PROTECT

Your data has one owner. You.

On-device processing by default. Zero-knowledge architecture. GDPR Article 17 right to erasure. Your digital self belongs entirely to you — not to us, not to advertisers, not to anyone. Ever.

GDPR · AI ACT · ON-DEVICE
KEY POINTS
01GDPR Article 17: right to erasure — complete deletion within 72 hours on request
02EU AI Act Tier 2 self-assessment completed and publicly documented
03K-GDPR (Korea): personal data stored on domestic servers as default
04Zero-knowledge architecture — model providers never see your raw data

Quarterly transparency report published. Audit log available to every user.

METRICS
4+
Regulations
72 hrs
Erasure SLA
Quarterly
Transparency
COMPLIANCE · GDPR + AI ACT7 PROTECT.ADMM
CHAPTER · 08ACT

The other you, available when you aren't.

Your digital self can respond, advise, and decide in your preferred style — across API integrations, team workflows, and personal automations. The you that never sleeps, never forgets, and never loses context.

PHYSICAL · DIGITAL TWIN
KEY POINTS
01API integrations: Notion, Slack, Calendar, email — responds in your voice
02Confidence scoring: autonomous actions only execute above set threshold
03Full audit log: every action is recorded, reviewable, and reversible
04Escalation protocol: uncertain decisions are routed back to you
METRICS
<3s
Response time
REST + WS
Protocol
100%
Audit log
MODE · AUTONOMOUS AGENT8 ACT.ADMM
CHAPTER · 09BECOME

The longer you use it, the more it is you.

This isn't an app you use. It's a self you build. Every input, every reflection, every correction shapes a model that grows into the most accurate representation of you that has ever existed — a living digital identity.

DIGITAL IDENTITY · EVOLVING
KEY POINTS
01Digital Identity Score tracks model fidelity and coherence over time
02Version history: every model checkpoint is preserved and restorable
03Legacy mode: your digital self persists and can be shared selectively
04Full export: model weights + memory graph downloadable at any time

You own the model. You can take it with you. Forever.

METRICS
Full
Version history
100%
Data portability
v0 → v∞
Horizon
HORIZON · DIGITAL IDENTITY9 BECOME.ADMM

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