Multi-Modal AI Operating Systemv2.0

Intelligence

Without Limits

▋

Aura is the first AI OS that unifies every modality — language, code, vision, audio, and deep reasoning — into a single, context-aware workspace. Powered by the PTCFR prompt architecture for precision at scale.

5AI Modes
<300msAvg Latency
200KContext Window
99.97%Uptime
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5 Modalities1 Workspace

Beyond the Limits of Single-Mode AI

Every AI capability you need — unified under one interface, one context window, one prompt architecture.

CHAT

Contextual Intelligence

Persistent memory across sessions. Aura remembers your codebase, preferences, and past decisions — building a model of your work over time.

Refactor this for better DX
Based on your codebase patterns, I'll apply the repository pattern with dependency injection...
Also add error boundaries
Done — using your existing ErrorBoundary component from /components/ui
CODE

Code Generation

Production-ready code with tests, docs, and CI config — not just snippets.

useAuth.ts
export function useAuth() {
const [user, setUser] = useState(null);
// PTCFR: role=auth-expert
const login = useCallback(
async (creds) => {
const token = await api.auth(creds);
setUser(jwt.decode(token));
}, []);
return { user, login, logout };
}
VISION

Visual Understanding

Upload screenshots, diagrams, or designs. Aura extracts intent and generates code.

PTCFR

PTCFR Prompt Architecture

Prompt-Type · Context · Format · Role — a structured prompt engineering framework that eliminates ambiguity and maximizes precision across all AI modes.

P
Prompt Type
instruction
T
Context
codebase:react
F
Format
typescript+tests
R
Role
senior-engineer
AUDIO

Audio Intelligence

Transcribe, analyze, and generate — voice commands, meeting summaries, podcast outlines.

REASON

Deep Reasoning

Chain-of-thought, tree-of-thought, and reflexion — visible reasoning for hard problems.

Decompose problem space
Explore 4 solution paths
Evaluate trade-offs
Synthesize optimal path
200K Context
Cross-modal memory
Sub-300ms
P50 response time
Zero Data Retention
Privacy-first architecture
Parallel Execution
Run multiple modes at once
The Builder
S
Building

Shivam

Founder & Architect, Aura

Building the intelligence layer for the next era of computing

Shivam is an AI systems architect and full-stack engineer obsessed with making artificial intelligence feel as natural as thought. He created Aura after years of frustration with siloed AI tools — each brilliant in isolation, none capable of working together. The PTCFR framework emerged from his research into structured prompt engineering at scale.

Invented the PTCFR prompt architecture
Built Aura's multi-modal inference pipeline
Pioneered context-persistent AI workspaces
AI/ML SystemsFull-StackSystem ArchitectureProduct DesignNLP & PromptingDistributed Systems