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Quick Start Guide

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Installation and Setup

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Web Application Access

Accessing the Platform

  1. Navigate to the official Kaizen AI web application at https://app.kaizen.app

  2. Ensure your browser meets the minimum requirements (Chrome 90+, Firefox 88+, Safari 14+, Edge 90+)

  3. Enable JavaScript and disable any ad blockers that might interfere with Web3 functionality

  4. Verify that your internet connection is stable for real-time data processing

Wallet Connection Setup

  1. Install Compatible Wallet

    • Download and install MetaMask, WalletConnect-compatible wallet, or Coinbase Wallet

    • Create a new wallet or import existing seed phrase

    • Ensure wallet is connected to Ethereum Mainnet or Solana Mainnet

  2. Connect to Kaizen AI

    Step 1: Click "Connect Wallet" button in top-right corner
Step 2: Select your preferred wallet provider
Step 3: Approve connection request in wallet popup
Step 4: Verify connection status shows your wallet address

  3. Network Configuration

    • Ethereum: Ensure network is set to Mainnet (Chain ID: 1)

    • Solana: Verify connection to Mainnet Beta cluster

    • Gas Settings: Configure appropriate gas limits for transaction analysis

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API Access (Optional)

For Developers and Advanced Users

  1. Generate API Key

    • Navigate to Settings → API Access

    • Click "Generate New API Key"

    • Copy and securely store your API key

    • Configure rate limits based on your usage tier

  2. Authentication Setup

  3. SDK Installation (if using programmatic access)

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First-Time Configuration

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Profile Setup

Account Configuration

  1. Access Settings Panel

    • Click on profile icon in top-right corner

    • Select "Settings" from dropdown menu

    • Complete profile information for personalized experience

  2. Risk Tolerance Configuration

  3. Notification Preferences

    • Real-time Alerts: Configure for immediate risk detection

    • Daily Summaries: Receive market analysis reports

    • Custom Watchlists: Set up monitoring for specific projects

    • Social Media Integration: Connect for enhanced sentiment analysis

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Dashboard Customization

Layout Configuration

  1. Widget Selection

    • Kaizen Score Overview: Real-time project scoring dashboard

    • Recent Analysis: History of your project evaluations

    • Market Alerts: Critical security and opportunity notifications

    • Social Sentiment: Community health and discussion metrics

  2. Data Refresh Settings

    • Real-time Mode: Continuous updates (recommended for active trading)

    • Standard Mode: 5-minute intervals (balanced performance)

    • Battery Saver: 15-minute intervals (for mobile users)

  3. Display Preferences

    • Theme Selection: Light/Dark mode options

    • Data Density: Compact/Detailed view settings

    • Chart Preferences: Candlestick/Line chart defaults

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Basic Usage Examples

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Example 1: Analyzing a New Token

Scenario: You've discovered a new token on Twitter and want to assess its legitimacy.

Step-by-Step Process:

  1. Initiate Analysis

  2. Review Initial Results

  3. Deep Dive Analysis

    • Security Tab: Contract verification, honeypot check, ownership analysis

    • Tokenomics Tab: Supply distribution, liquidity analysis, holder breakdown

    • Social Tab: Community sentiment, influencer activity, viral patterns

    • Intelligence Tab: Developer history, wallet connections, fund flows

Expected Output:

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Example 2: Chat-Based Project Comparison

Scenario: You want to compare two DeFi tokens using conversational interface.

Chat Interaction Example:

Follow-up Queries:

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Example 3: Setting Up Monitoring Alerts

Configuration Process:

  1. Create Watchlist

  2. Configure Alert Conditions

  3. Set Delivery Preferences

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Common Use Cases

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Use Case 1: Due Diligence for Investment

Process Flow:

  1. Initial Screening

    • Input project contract address

    • Review Kaizen Score and risk classification

    • Identify immediate red flags or green lights

  2. Comprehensive Analysis

    • Examine tokenomics and distribution patterns

    • Analyze developer wallet behavior and history

    • Review social sentiment and community health

    • Check for similar projects or copycat indicators

  3. Decision Making

    • Compare risk/reward ratio with investment goals

    • Set up monitoring alerts for position management

    • Document analysis results for future reference

Timeline: 5-10 minutes for initial screening, 15-30 minutes for comprehensive analysis

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Use Case 2: Real-Time Trading Support

Active Trading Workflow:

  1. Market Scanning

    • Monitor trending tokens on social platforms

    • Use Kaizen AI for rapid legitimacy assessment

    • Filter out obvious scams and honeypots

  2. Entry Point Analysis

    • Assess current market sentiment and momentum

    • Analyze whale activity and insider movements

    • Evaluate liquidity conditions and slippage risks

  3. Position Management

    • Set up real-time alerts for score changes

    • Monitor social sentiment shifts

    • Track large transactions and liquidity events

Timeline: 2-3 minutes per token screening, continuous monitoring

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Use Case 3: Portfolio Risk Management

Risk Assessment Process:

  1. Portfolio Import

    • Connect wallet for automatic portfolio detection

    • Manual addition of positions across multiple wallets

    • Historical performance tracking and analysis

  2. Ongoing Monitoring

    • Daily risk score updates for all holdings

    • Correlation analysis between positions

    • Emerging threat detection and early warnings

  3. Risk Mitigation

    • Automated alerts for deteriorating fundamentals

    • Diversification recommendations based on risk analysis

    • Exit strategy suggestions for high-risk positions

Timeline: Initial setup 10-15 minutes, daily monitoring 5 minutes

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Use Case 4: Community Management and Education

For Influencers and Community Leaders:

  1. Content Creation Support

    • Generate detailed analysis reports for sharing

    • Verify project claims and marketing statements

    • Provide objective scoring for community discussions

  2. Scam Prevention

    • Real-time verification of promoted projects

    • Early detection of coordinated shill campaigns

    • Educational content based on risk patterns

  3. Community Protection

    • Bulk analysis of community-submitted projects

    • Whitelist/blacklist management for communities

    • Educational alerts about common scam patterns

Timeline: Variable based on community size and activity

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Success Metrics and Validation

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Measuring Effective Usage

Key Performance Indicators:

  • Analysis Accuracy: Compare Kaizen scores with actual project outcomes

  • Risk Avoidance: Track avoided losses from flagged high-risk projects

  • Opportunity Capture: Monitor successful investments identified through platform

  • Time Efficiency: Measure reduction in manual due diligence time

Validation Methods:

  1. Backtesting: Review historical analyses against known outcomes

  2. Peer Comparison: Compare results with other analysis tools

  3. Community Feedback: Leverage collective intelligence validation

  4. Expert Review: Cross-reference with professional analysis

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Continuous Improvement

Platform Learning:

  • User Feedback Integration: Report false positives/negatives for model improvement

  • Market Adaptation: Algorithm updates based on evolving threat patterns

  • Feature Enhancement: Regular updates based on user behavior analysis

  • Community Contributions: Crowd-sourced intelligence integration

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Troubleshooting Quick Start Issues

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Common Setup Problems

Wallet Connection Issues:

Performance Issues:

Data Inconsistencies:

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