Module 9: From Toy to System•Lesson 5 of 6
Next Paths
Next Paths
You've built the foundation. Here's where to go next.
Path 1: Personal Assistant
Build an always-on personal AI that:
- Manages your calendar
- Processes your email
- Tracks your todos
- Sends you briefings
- Remembers everything
Key additions:
- Calendar integration
- Email access
- Mobile notifications
- Voice interface
Path 2: Business Automation
Automate repetitive business tasks:
- Lead qualification
- Report generation
- Data processing
- Customer support triage
- Social media management
Key additions:
- CRM integration
- Database access
- Multi-user support
- Audit trails
Path 3: Research System
Build an intelligence system that:
- Monitors sources continuously
- Extracts relevant information
- Synthesizes insights
- Alerts on important changes
Key additions:
- RSS/news feeds
- Social media monitoring
- Scheduled scraping
- Trend analysis
Path 4: Trading/Analysis
Automate market analysis:
- Price monitoring
- Sentiment analysis
- Signal detection
- Trade execution
- Portfolio tracking
Key additions:
- Market data APIs
- Trading integrations
- Risk management rules
- Performance tracking
Path 5: Creative Partner
Build a creative collaborator:
- Content ideation
- Writing assistance
- Code generation
- Design feedback
- Brainstorming partner
Key additions:
- Image generation
- Voice synthesis
- Version control
- Feedback loops
Common Upgrades
Regardless of path, consider:
Advanced Memory
- Vector database for semantic search
- Long-term summarization
- Cross-session learning
Better Monitoring
- Dashboards
- Alerting
- Usage analytics
- Performance tracking
Integrations
- Zapier/n8n for workflows
- APIs for external services
- Webhooks for events
Team Features
- Multi-user access
- Role-based permissions
- Shared memory
- Collaboration tools
The Meta-Skill
The most valuable thing you've learned isn't any specific technique.
It's how to think about agent systems:
- Architecture over prompts
- Memory as compressed understanding
- Tools for precision, agents for thinking
- Systems over hacks
This mental model transfers to any AI project.
Keep Building
The field is moving fast. What matters:
- Build real things
- Ship and iterate
- Learn from failures
- Share what works
You now have the foundation. Go build something useful.