The SimpFi AI project aims to revolutionize automation and collaboration by providing a drag-and-drop automation platform with web3 and AI integration. The purpose of the system is to streamline business operations, enhance productivity, and drive innovation. The scope of the system includes the development of a user-friendly platform with core functionalities such as drag-and-drop automation, templating, and real-time collaboration. The objectives of the project are to deliver a robust automation solution, ensure seamless integration with web3 and AI technologies, and achieve high user satisfaction. Success criteria include meeting project milestones, positive user feedback, and achieving a high level of adoption within the target market.

Name: Adam Manka
Roles and Responsibilities: Founder, Project Lead
Relevant Experience: 15+ years of experience in software development, automation, and AI technologies

Name: Dylan Wong
Roles and Responsibilities: AI Specialist, Developer,
Relevant Experience: 10+ years of experience in AI development, machine learning algorithms, devops, solidity

Total Budget: $150,000
Funding Tier: Tier 2

The current system lacks a comprehensive and user-friendly automation platform that seamlessly integrates with web3 and AI technologies. Businesses face challenges in streamlining their operations, automating repetitive tasks, and collaborating effectively. The proposed SimpFi AI system will address these problems by providing a drag-and-drop automation platform, allowing businesses to visualize their processes, automate tasks, and collaborate in real-time. The new system will eliminate the need for manual and time-consuming processes, improve efficiency, and enhance decision-making capabilities.

Overview: SimpFi AI will deliver a user-friendly automation platform with drag-and-drop functionality, web3 integration, and AI capabilities. Users will be able to create workflows, automate tasks, and leverage AI algorithms for decision-making and optimization. The system will have high usability, reliability, performance, and supportability to meet user expectations.

Scenarios: Users can create automated workflows, integrate web3 technologies, and utilize AI algorithms to optimize processes.
Use Case Model: Includes features such as drag-and-drop automation, templating, real-time collaboration, and AI integration.
Analysis Object Model: Represents the entities and relationships within the system, including users, workflows, automation components, and AI models.
Dynamic Model: Illustrates the flow of interactions between users, system components, and external services.

Milestone 1: Core Functionality Development and Testing
Specification: Develop and implement core functionalities, including drag-and-drop automation and real-time collaboration.
Requested Funding: $50,000
Milestone Duration: 2 months

Milestone 2: Web3 and AI Integration
Specification: Integrate web3 technologies for privacy and security, and implement AI algorithms for decision-making and optimization.
Requested Funding: $60,000
Milestone Duration: 3 months

Milestone 3: Refinement and Beta Testing
Specification: Refine user interface and experience based on user feedback, conduct beta testing with a select group of users, and address identified improvements.
Requested Funding: $40,000
Milestone Duration: 1 month

Milestone 4: Finalization and Launch Preparation
Specification: Finalize the platform, address any remaining issues or bugs, prepare for public launch, and submit the grant report.
Requested Funding: $30,000