Replaces hardcoded ConversationHandlers with a generic flow engine that reads conversation definitions from talia_bot/data/flows.json.
- Adds a 'conversations' table to the database to persist user state, making flows robust against restarts.
- Implements a central 'universal_handler' in main.py to process all user inputs (text, voice, callbacks, documents) through the new engine.
- Refactors Vikunja, LLM, and Calendar modules to be asynchronous and support the new architecture.
- Adds a new 'transcription' module for OpenAI Whisper and a 'mailer' module for the print flow.
- Implements the full logic for all specified user flows, including project/task management, calendar blocking, idea capture (with branching logic), and the RAG-based client sales funnel.
- Cleans up legacy code and handlers.
- Implement `llm.py` with OpenAI API integration for smart responses.
- Implement `scheduler.py` to send a daily summary to the bot owner using `python-telegram-bot`'s `JobQueue`.
- Integrate the scheduler into the main application.
- Add `pytz` as a new dependency.
- Update `tasks.md` to mark all tasks as complete.
- Creates the initial project structure for the Talía bot, including the `app` and `app/modules` directories.
- Adds placeholder files for the core application logic, modules, and configuration.
- Includes a `Dockerfile` and `docker-compose.yml` for containerization.
- Adds a `requirements.txt` file with the necessary dependencies.
- Creates a `tasks.md` file to track development progress.
