Scia AI
  • Introduction
  • AI Agents
  • Technical Details
  • Competitve Advantage
  • $SCAI Token
  • Roadmap
  • Use cases
  • Security
  • Support
Powered by GitBook
On this page
Export as PDF

Roadmap

🚀 Development Roadmap

Current Status

✅ Completed Agents:

1. JACK (Data Detective) - Data collection and aggregation

2. EMMA (Technical Analyst) - Technical analysis and pattern recognition

3. NOAH (Sentiment Analyst) - Sentiment analysis and market mood interpretation

4. SOPHIA (Data Validator) - Data integrity and validation


Phase 1: Core Agent Development (Weeks 1-3)

Week 1: Analysis & Prediction Agents

Develop ETHAN (Analysis Auditor)

  • Implement cross-validation mechanisms

  • Build performance tracking metrics

  • Create bias detection algorithms

Begin OLIVIA (Prediction Engine)

  • Set up ML infrastructure

  • Implement initial prediction models

  • Develop adaptive learning systems

Week 2: Risk & Coordination

Complete OLIVIA development

  • Fine-tune prediction accuracy

  • Implement multi-model forecasting

Develop LIAM (Risk Manager)

  • Build risk assessment algorithms

  • Implement position sizing logic

  • Create portfolio protection mechanisms

Week 3: System Coordination

Develop AVA (System Coordinator)

  • Build inter-agent communication framework

  • Implement workflow orchestration

  • Create performance optimization systems

Begin Integration Testing

  • Test agent interactions

  • Validate data flow

  • Optimize communication patterns


Phase 2: Support Systems Development (Weeks 4-5)

Week 4: Historical & Marketing

Develop MASON (Prediction Historian)

  • Build prediction tracking database

  • Implement performance analytics

  • Create visualization tools

Develop ZOE (Marketing Communicator)

  • Set up social media integrations

  • Implement community engagement features

  • Create automated insight distribution

Week 5: Infrastructure & Security

Security Implementation

  • Add encryption layers

  • Implement authentication systems

  • Set up access control

Monitoring Systems

  • Deploy logging infrastructure

  • Set up alert mechanisms

  • Implement performance monitoring


Phase 3: Integration & Testing (Week 6)

Week 6: System Integration

Complete System Integration

  • Connect all agent systems

  • Test end-to-end workflows

  • Validate data consistency

Performance Testing

  • Conduct load testing

  • Measure response times

  • Optimize resource usage


Phase 4: Launch Preparation (Week 7)

Week 7: Pre-launch

Documentation

  • Complete API documentation

  • Write user guides

  • Create system documentation

Quality Assurance

  • Conduct security audits

  • Perform penetration testing

  • Validate compliance requirements


Phase 5: Launch & Monitoring (Week 8)

Week 8: Launch

Deployment

  • Set up production environment

  • Deploy monitoring systems

  • Initialize backup systems

Launch Operations

  • Begin user onboarding

  • Monitor system performance

  • Provide support infrastructure


Key Deliverables

1. Complete Agent System

  • All 10 agents fully functional

  • Inter-agent communication established

  • Performance optimization completed

2. Infrastructure

  • Secure cloud deployment

  • Monitoring systems active

  • Backup and recovery in place

3. User Interface

  • Web dashboard

  • Mobile app interface

  • API documentation

4. Documentation

  • Technical documentation

  • User guides

  • API references


Success Metrics

System Performance

  • 99.9% uptime

  • <500ms response time

  • 95% prediction accuracy

Security

  • All security audits passed

  • Compliance requirements met

  • Penetration testing completed

User Experience

  • Intuitive interface

  • Clear documentation

  • Responsive support system

Previous$SCAI TokenNextUse cases

Last updated 3 days ago