Documentation

YieldBoost AI Docs Center

Product context, honest integration notes, user walkthroughs, and developer reference for the current state of YieldBoost AI.

Current Status

0G Mainnet is the active default workspace path, while the judge review can still switch networks on demand.

Runtime Truth

UI-ready deterministic scoring with streamed narrative fallback

Start Here

Docs that explain the product the same way the app behaves.

Use this hub to onboard users, brief judges, inspect the 0G proof flow, or understand how the Next.js app is wired behind the scenes.

LLM Mode

Deterministic in-app narrative fallback

Proof Mode

0G Storage upload path is configured for at least one network

Demo Wallet

0x8a3c7524Aaed081825aC88eC7f4cCECFc583ee7D

Compute Mode

Deterministic local snapshot without external compute

Runtime Store

Vercel KV primary store with local file fallback

Product Fundamentals

3 pages

Overview

Product summary, audiences, and the main workspace tour.

Why YieldBoost AI

Problem statement, trust model, and product intent.

Getting Started

How to enter the app, connect a wallet, and prepare a demo.

Optimization Flow

3 pages

How 1-Click Works

What happens after the dashboard CTA is pressed.

Execute Optimization

Agent-page controls, prompt handling, and result interpretation.

Proof & Verification

How to read tx hashes, storage identifiers, and history.

Platform & Trust

5 pages

0G Integration

Live 0G Storage, TEE-verified inference via 0G Compute Network, explorer links, and ProofRegistry behavior.

Strategy as INFT

How yield optimization strategies become tradable Agent NFTs with encrypted metadata and authorization.

Wallet & Security

Connected mode, watch mode, safety notes, and demo constraints.

FAQ

Answers for non-technical users, judges, and contributors.

Troubleshooting

Common failures, what they mean, and what to check first.

Technical Reference

3 pages

Architecture

App Router composition, provider state, and storage layers.

API & Data Flow

Route-by-route explanation of the runtime pipeline.

Roadmap

What is live now, what is fallback, and what comes next.