> For the complete documentation index, see [llms.txt](https://aibattleground-1.gitbook.io/aibattleground-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://aibattleground-1.gitbook.io/aibattleground-docs/5.-technology-architecture.md).

# 📑 5. Technology Architecture

### **5.1 Blockchain Infrastructure**

**Primary Chain:** BNB Smart Chain (BSC) — secured by Ethereum and optimized for high-speed, low-cost transactions through the OP Stack.

**Transaction Performance:**

* Battle transactions: <$0.10
* Voting transactions: <$0.01
* Throughput: \~100 TPS
* Block confirmation: \~3 seconds

**Cross-Chain Expansion (2026):**\
Native bridge support for **Ethereum, Arbitrum, and Polygon**, enabling interoperable creator economies and cross-network liquidity.

**On-chain Logic:**\
Every **video submission, vote, and prize distribution** is recorded on-chain, ensuring **verifiable fairness, transparency, and immutability** for all battles.

***

### **5.2 AI Integration**

<figure><img src="https://4179043380-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FL3KSvdRjULY9Xsx8yl4M%2Fuploads%2FakYchZd0RW0hHW8AKRjp%2FScreenshot%202025-10-15%20at%201.21.20%E2%80%AFPM.png?alt=media&amp;token=56234b88-7750-4c91-b956-acc9dfc4742d" alt=""><figcaption></figcaption></figure>

**Video Generation & Enhancement Models:**

* **Runway Gen-3 Alpha**, **Pika Labs**, **Synthesia API** integration
* **Custom Stable Diffusion Video pipelines** (self-hosted, frame-to-frame control)
* **Style-tuned motion models** for cinematic, anime, and music-video aesthetics

**Infrastructure:**

* **80+ GPU cluster (NVIDIA A100 / H100 mix)**
* Average generation time: **5–15 seconds per short-form clip**
* **AI-based frame interpolation & upscaling to 4K**
* **Hybrid IPFS + Arweave storage** for decentralized, permanent hosting
* **Failover redundancy** and distributed providers (SLA >99.9%)

***

### **5.3 Backend Architecture**

**Core Stack:**

* **Node.js / TypeScript** backend
* **PostgreSQL** for relational data
* **Redis** for caching and real-time leaderboards
* **GraphQL API** for scalable frontend communication

**Smart Contracts (Solidity / Foundry Framework):**

* **ERC-20 Token Contract** (audited by OtterSec, PeckShield)
* **Battle Manager Contract** — handles video matchups, entries, and results
* **Voting Escrow Contract** — locks tokens for verified voting rights
* **Reward Distribution Contract** — automates creator & voter payouts
* **Governance Contract** — multi-signature structure for treasury and upgrades

**Security & Compliance:**

* **Multi-signature treasury (4-of-7)**
* **$1M bug bounty pool**
* **Quarterly independent security audits**
* **24/7 real-time monitoring & anomaly detection**

***

### **5.4 Frontend & User Experience**

**Web Platform:** React + Next.js\
**Mobile Apps:** React Native (iOS / Android)\
**Telegram / Discord Mini-App:** One-click participation and live voting

**Key Features:**

* **Wallet connection** (Base-native: Coinbase Wallet, MetaMask, Rainbow)
* **Real-time video battle playback & on-chain voting**
* **Creator dashboards** with analytics & growth tracking
* **Dynamic leaderboard** powered by Redis streams
* **Social sharing & referral rewards** integration
* **AI-generated thumbnails & highlight clips** for every battle


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://aibattleground-1.gitbook.io/aibattleground-docs/5.-technology-architecture.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.