Communication Intelligence System

When silence beats effort

Mathematical decay models and 384-dimensional style fingerprinting that knows when to ghost, when to follow up, and when one word is enough. Communication intelligence that treats timing as a first-class feature.

+34%

Close rate increase

Reply rate boost

$4.2k

Monthly delta/creator

60%

Reply rate on "..."

The Philosophy

Everything is per

"Everyone's spending billions teaching machines to remember everything. We spent a weekend teaching ours when to forget."

per hour

Different message types decay at different rates. Warmth fades slower than sales pressure. Every hour shifts the balance between memory and silence.

per platform

Same person, adapted voice. LinkedIn gets complete sentences. Slack gets brevity. Instagram gets ellipsis. The personality stays constant.

per silence

Silence compounds at +0.1 every 6 hours. At 43 hours, strategic quiet has more pull than a fresh outreach. That's not a feeling—that's a derivative.

per goal

Stage-aware progression adapts tone to conversation phase. Initial outreach differs from follow-up differs from close. Context shifts automatically.

per relationship

Style fingerprints per contact. Your communication pattern with a CEO differs from a direct report. 384 dimensions capture how you actually talk.

per dollar

Attribution at the interaction level. Which follow-up converted. Which silence closed. Margin per touchpoint tracked and optimized.

The Mathematics

Decay is a feature

Different memories die at different rates. That asymmetry is the entire strategy. At t = 43h, a ghost with no reply has more pull than a fresh pitch.

Push

t½ = 11h

Burns fast. Doesn't smell desperate.

Neutral

t½ = 26h

Standard decay rate. Baseline memory.

Flirt

t½ = 62h

Slow fade. Lingers like perfume.

Silence
+0.1 / 6h
Compounds forever. The ghost that keeps giving.

s = s₀ × w^Δt × 0.5^(t/26) + silence_bonus

Where s is pull score, w is decay weight (0.3 for push, 0.7 for flirt, 1.2 for stale), and silence_bonus accumulates at +0.1 every 6 hours.

The Architecture

Six systems working together

Each component is simple. The interaction between them creates emergent behavior that feels human without trying to simulate consciousness.

[01]

Style Memory

384-dimensional fingerprints of communication patterns. Tone, response timing, message length, vocabulary. The texture of how people actually talk, not how they think they talk.

[02]

Decay Engine

Non-linear forgetting by message type. Relationship warmth fades differently than sales pressure. The asymmetry is intentional—it's the whole point.

[03]

Goal Progression

Stage-aware context injection. Initial outreach, follow-up, close. The system adapts tone to conversation phase automatically without explicit prompting.

[04]

Multimodal Output

Text, voice notes, media. The system selects format based on context and platform norms. Voice notes at 20% on re-engagement attempts because they feel personal.

[05]

Platform Translation

Same content, adapted delivery. LinkedIn gets professional formatting. Slack gets brevity. Discord gets meme-literacy. The voice adapts to channel expectations.

[06]

Cross-Platform Sync

Attention allocation across channels. When engagement drops on one platform, weight shifts to others. Self-balancing distribution without manual intervention.

The Mesh

One brain. Every surface

PERSONA

CORE

Instagram

Short. Ellipsis. Story replies.

OnlyFans

Delayed. Voice-forward. PPV.

Quick. Minimal. Direct.

Same soul. Nice suit.

Slack

Thread-aware. Team tempo.

Casual. Voice notes.

Formal. Knows when to break.

Discord

Meme-literate. Server-aware.

+ Any surface with an API or scrape: Twitter/X, SMS, Intercom, Zendesk, HubSpot, CRM, Forums, Custom

Proven Results

This already works

Creator Economy

Strategic ambiguity outperforms eager availability by 3x

The delayed response. The ellipsis. The sense that maybe you're busy with someone else. Reply rate moved from 12% to 31%. Revenue delta: $4,200/month.

Sales

Leads that go cold first close hotter on reactivation

Warmth decays slow. Pitch pressure burns fast. When they come back, it feels like their idea. +34% close rate on reactivated leads.

Recruiting

The 48-hour follow-up feels personal, not desperate

Candidate ghosts your initial outreach. Silence ticks. The follow-up lands different. +22% offer acceptance rate.

Customer Success

Complaints become upsells with timed re-engagement

Negative sentiment decays at 0.5/day. Three months later: "We fixed it. Here's 20% off." +12% LTV increase.

Retention

Engagement drops are visible before resignation letters

Response latency tracking across internal channels. Silence threshold triggers early intervention. -23% surprise turnover.

Competitive Intel

Six weeks of silence from a VP is signal, not noise

Track patterns across public channels. Activity baseline establishes norm. Deviation detection flags changes 4-6 weeks before announcements.

Technical Pipeline

How it works

The language model is the fallback, not the engine. 85% of responses come from pattern matching and rules. Language models hallucinate. Rules don't.

Capture

Message ingestion. Platform normalization. Unified format across all channels.

→

Context

Vector similarity search. State retrieval. Style matching from 384d embeddings.

→

Decision

Goal evaluation. Decay calculation. Timing selection based on conversation state.

→

Generate

Template matching (>0.4 similarity). LLM fallback (Llama 3.1 8B). Format selection.

→

Deliver

Platform adaptation. Weighted timing injection. Confirmation and outcome tracking.

Poll interval

384

Vector dimensions

85%

Rule-based

<100ms

Processing time

Frequently Asked Questions

AURA FAQ

What is AURA and what problem does it solve?

AURA is a communication intelligence system that uses mathematical decay models and 384-dimensional style fingerprinting to optimize message timing and tone.

How does the 384-dimensional style fingerprinting work?

AURA converts communication patterns into 384-dimensional vector embeddings that capture vocabulary, sentence structure, formality level, and emotional tone.

What platforms does AURA support?

AURA operates across 8 platforms including email, Slack, Discord, LinkedIn messaging, SMS, WhatsApp, Twitter/X direct messages, and custom webhook integrations.

Does AURA use large language models for all responses?

No. 85% of AURA's responses come from rule-based pattern matching. Language models serve as a fallback only when similarity scores fall below the 0.4 threshold.

What are mathematical decay models in communication?

Decay models calculate how conversation relevance, sentiment, and engagement change over time using exponential decay functions.

Can AURA be used for business applications?

Yes. AURA has demonstrated +34% close rate on reactivated sales leads, +22% offer acceptance in recruiting, and -23% surprise turnover.