Build a robust AI executive assistant and personal assistant with integrated features and seamless code execution, compatible with Python 3+ and accompanied by clear documentation, onboarding process, and self-evolution capabilities.

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Make 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)

45. Python 3+ Compatibility: The codebase should be compatible with Python 3+ and free of any syntax errors or bugs related to Python versioning.

46. Clear Documentation: The repository should include a detailed README and clear instructions on how to install, configure, and use the assistant.

47. 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.

48. 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.

49. Self-Coding Ability: The assistant should be able to improve itself over time, either by automating routine coding tasks, learning from user feedback, or even adding new APIs and functionalities as needed. This is a complex requirement that may involve advanced AI techniques and careful design to ensure that the assistant remains secure and reliable as it evolves.

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