A streamlined AI-powered digital agency platform that leverages specialized AI agents to analyze and plan projects effectively.
- Strategic project analysis
- Requirement evaluation
- Budget feasibility assessment
- Project complexity assessment
- Timeline estimation
- Technical architecture design
- Technology stack recommendations
- Scalability assessment
- Infrastructure planning
- Technical specifications
- Project scope management
- Timeline roadmap planning
- Product requirements definition
- Feature prioritization
- Startup product planning
- Technical implementation planning
- Effort estimation
- Technical feasibility review
- Full-stack expertise
- Development best practices
- Client satisfaction management
- Expectation management
- Feedback handling
- Project delivery oversight
- Communication management
- Project Assessment: Analyze project requirements and generate feasibility reports
- Technical Specification: Create detailed technical architecture and implementation plans
The agency operates through coordinated communication between agents:
- Project Director analyzes project requirements and feasibility
- Technical Architect creates detailed technical specifications based on the analysis
- Product Manager defines product roadmap and features
- Lead Developer plans technical implementation
- Client Success Manager ensures project alignment with goals
- Clone the repository:
git clone https://github.com/shireen168/ai_servicing_agent.git
cd ai_servicing_agent
- Install dependencies using Poetry:
poetry install
- Set up your OpenAI API key:
- You'll be prompted to enter your API key in the application
- Get your API key from OpenAI Platform
- Run the application:
poetry run streamlit run agency.py
-
Project Initiation:
- Enter your OpenAI API key
- Submit project details including:
- Project name and description
- Project type
- Budget range
- Timeline expectations
- Technical requirements
- Special considerations
-
Agent Analysis:
- Project Director evaluates project feasibility
- Technical Architect creates technical specifications
- Product Manager develops product roadmap
- Lead Developer assesses implementation approach
- Client Success Manager reviews project alignment
- Receive comprehensive analysis and recommendations
-
Deliverables:
- Project feasibility analysis
- Technical architecture specifications
- Product roadmap and features
- Implementation plan
- Client success strategy
ai_servicing_agent/
├── agency.py # Main Streamlit application with agent implementations
├── pyproject.toml # Poetry project configuration
├── poetry.lock # Poetry dependency lock file
└── settings.json # Agent configuration settings
- Fork the repository
- Create a feature branch
- Commit your changes
- Push to the branch
- Create a Pull Request
MIT License