Build a robust AI Executive Assistant and Personal Assistant with a wide range of features and integrations. #19
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ake sure all of these features and integrations are in and built out robustly in our AI your AI Executive Assistant (EA) and Personal Assistant (PA). they also should be able to code eachother as needed to give them more features that are needed. I also need the repo to be without bugs and succicnt ready for python 3+ deployment with a clear read me and clear. instructions and guide etc. make sure the onboarding process is built out wiht optionality and intuitiveness split between the ea and pa: Social Media Management 1. Learning & Development 2. Network Management 3. Automated Data Entry 4. Project Management 5. Sales & CRM Integration 6. Document Management 7. Conflict Resolution 8. Google Contacts Integration 9. Email Integration 10. Twilio Integration 11. Eleven Labs Integration 12. Self-Evolution and API Integration 13. Discord Integration 14. News Aggregation 15. Automated Calls 16. Subscription Management 17. Collaboration Tools Integration 18. Analytics and Reporting 19. Invoicing and Payments 20. HR Functions 21. Inventory Management 22. Customer Support 23. Prompt Engineering 24. Dynamic Persona 25. Voice Selection 26. Entrepreneurial Skills 27. Negotiation Skills 28. Personal Assistant Features (shopping, booking personal appointments, scheduling social events, etc.) 29. Entertainment 30. Fitness Tracking 31. Recipe Suggestions 32. Financial Management 33. Shopping 34. Personal Growth 35. Mood Tracking & Support 36. Personal Safety Alerts 37. Gift Management 38. Pet Care Management 39. Plant Care Reminders 40. Habit Building 41. Publicist Capabilities 42. Family Coordination 43. Ride Ordering (Uber) 44. Food Delivery (Uber Eats and GoPuff) 1. Python 3+ Compatibility: The codebase should be compatible with Python 3+ and free of any syntax errors or bugs related to Python versioning. 2. Clear Documentation: The repository should include a detailed README and clear instructions on how to install, configure, and use the assistant. 3. Onboarding Process: The assistant should include a robust and intuitive onboarding process, which could involve initial setup of integrations, training the assistant on the user's preferences, and testing the assistant's functionality. 4. Code Modularity and Quality: The codebase should be well-organized and maintainable, with clear separation of different features and functionalities. Code quality should be high, with adherence to best practices for Python coding and AI development.
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