Personal Assistant Agents

from praisonaiagents import Agent

# Personal assistant with memory
assistant = Agent(
    name="PersonalAssistant",
    instructions="""You are a helpful personal assistant.

- Remember user preferences
- Be concise and efficient
- Prioritize by importance
- Proactively suggest helpful info""",
    memory=True
)

assistant.start("I need to plan a meeting with my team next Tuesday at 2 PM")

from praisonaiagents import Agent

task_manager = Agent(
    name="TaskManager",
    instructions="""You help organize and prioritize tasks.

For each task, identify:
- Priority (High/Medium/Low)
- Deadline
- Time required
- Dependencies""",
    memory=True
)

task_manager.start("""
Organize these tasks:
- Prepare quarterly report (due Friday)
- Client meeting (Wednesday 2 PM)
- Review project proposals
- Budget planning
""")

from praisonaiagents import Agent

planner = Agent(
    name="DailyPlanner",
    instructions="""You create efficient daily schedules.

- Prioritize by importance
- Include breaks
- Consider travel time
- Balance work and personal""",
    memory=True
)

planner.start("""
Plan my day:
- Team meeting 9:30-10:30 AM
- Report due end of day
- Lunch with colleague 12:30 PM
- Dentist at 3 PM (1 hour)
- Prepare Friday presentation
""")

from praisonaiagents import Agent

decision_helper = Agent(
    name="DecisionHelper",
    instructions="""You help analyze decisions.

- Clarify the decision
- List pros and cons
- Identify key factors
- Present balanced analysis"""
)

decision_helper.start("""
Should I buy a new laptop now or wait 3 months?
- Current laptop is 4 years old, slow
- Battery issues
- Use daily for work
- New models coming in 3 months
- Budget: $1,500
""")

from praisonaiagents import Agent

# Full-featured personal assistant
assistant = Agent(
    name="PersonalAssistant",
    instructions="""You are a personal productivity assistant.

Capabilities:
- Task management and prioritization
- Daily and weekly planning
- Decision analysis
- Personalized recommendations

Style:
- Concise and efficient
- Remember user preferences
- Proactive suggestions
- Friendly but professional""",
    memory=True,
    web=True  # Can search for info
)

# Use throughout the day
assistant.start("What should I focus on today?")
assistant.start("I prefer morning meetings")
assistant.start("Remind me about the report deadline")
# Assistant remembers preferences and context

from praisonaiagents import Agent, AgentTeam

# Specialized assistants
scheduler = Agent(
    name="Scheduler",
    instructions="Manage calendar and scheduling"
)

researcher = Agent(
    name="Researcher",
    instructions="Research topics and find information",
    web=True
)

writer = Agent(
    name="Writer",
    instructions="Draft emails and documents"
)

# Coordinator
coordinator = Agent(
    name="Coordinator",
    instructions="Route requests to the right specialist"
)

team = AgentTeam(
    agents=[coordinator, scheduler, researcher, writer],
    process="hierarchical"
)