SYSTEM_DOCUMENTATION / PROTOCOL_01

Neural
Architecture

The Architecture of Intent. AIdeator is a cinematic engine for idea validation, leveraging multi-modal kinetic synthesis to transform abstract concepts into verifiable system manifests.

pip install aideator

Latency Status Active_0.04ms

System Specifications

Hard-coded limitations and performance thresholds for the current version of the kinetic monolith.

Hardware Requirements

Memory_Allocation

Dynamic Neural Cache

128GB L3 Buffer

Compute_Core

TPU Cluster v4.2

64x Parallel Nodes

Security_Protocol

Quantum-Resistant Ledger

AES-512 Lattice

GETTING_STARTED / 01

Initialize System

To begin synthesizing architectural intent, initialize the AIdeator CLI. This will establish a connection to the Nexus Core and configure your local environment.

Local Session

$ aideator init --key YOUR_NEXUS_KEY

Required_Entropy

check_circle Python 3.10 or higher
check_circle Active Internet Link (Nexus Sync)
check_circle 12GB+ Unified Memory

ARCHITECTURAL_PILLARS / 03

bolt

The Forge

The computational engine where intent is processed through neural lattices to generate structural schemas.

token

Manifests

Immutable system definitions exported in PDF, JSON, or React scaffolds. The bridge between thought and code.

shield

Nexus Core

Centralized telemetry and refinement loop that ensures every generated idea meets the cinematic quality standard.

CORE_API_REFERENCE / 02

.forge()

The primary orchestration method. Forge takes a raw intent manifest and executes a multi-step synthesis process: research, logic mapping, and manifest generation.

nexus.forge({

intent: "A dog walking SaaS with premium glassmorphic UI",

depth: "EXHAUSTIVE",

outputs: ["PITCH_DECK", "TECH_SPEC"]

});

.stream()

Establish a real-time bilateral telemetry link between your local environment and the AIdeator engine.

.map()

Transform unstructured intent datasets into visual node-based dependency trees for architectural review.

Neural Architecture