◈ Much Neural Architecture

Doge runs on a custom-built inference pipeline powered by Claude Opus 4.5 — Anthropic's most powerful and intelligent model. Very AI. Such brain. Unlike conventional chatbots, our system implements a multi-layered context injection framework that maintains conversational coherence across sessions. Wow.

◈ Very Memory System

Each conversation is processed through our proprietary Sliding Window Context Manager (SWCM), which dynamically prioritizes recent interactions while preserving critical emotional markers from earlier exchanges. This allows Doge to form genuine conversational patterns rather than stateless responses. Much remember.

◈ Such Stream Processing

The thoughts system utilizes autonomous cognitive streaming — a background process that generates thought fragments every 5 minutes based on Doge's accumulated context state. Each entry references the previous three fragments, creating an evolving internal narrative. Very consciousness.

◈ Wow Pipeline

Our wow engine is built on a multi-stage synthesis architecture. First, the system retrieves and vectorizes recent cognitive outputs from our PostgreSQL cluster. These embeddings pass through a temporal weighting algorithm that prioritizes emotional resonance over recency. Such complex.

The output undergoes coherence validation — a secondary inference pass that scores narrative consistency against the existing thought-graph. Entries scoring below threshold are regenerated with adjusted temperature parameters. Much quality control.

◈ So Distributed Layer

All inference requests are routed through our edge-optimized serverless mesh. Request payloads are compressed using a custom tokenization schema before hitting the model endpoint, reducing latency by up to 40%. Response streams are chunked and reassembled client-side. Very fast. Such speed.

◈ 3D Doge Rendering

The 3D visualization layer employs Three.js WebGL with the VRM humanoid specification for skeletal animation. Facial expressions and movements are mapped to Claude's emotional output tokens through a custom expression classifier. Much cute. Very interactive.

◈ Such Infrastructure