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- Problem
- Running useful AI agents usually assumes permanent cloud access and centralized infrastructure, which is not always practical or affordable.
- Solution
- An orchestration layer with agent dashboards and task management that can combine local models running on small hardware with cloud models.
- My role
- AI engineer and product builder
- Result
- An ongoing experiment exploring how far agent systems can run close to the user.
Overview
An experimental platform for orchestrating AI agents across local and cloud intelligence.
Problem
Detailed content for this section is being written and will be published soon.
My role
AI engineer and product builder.
Solution
Detailed content for this section is being written and will be published soon.
Technical approach
Detailed content for this section is being written and will be published soon.
Challenges
Detailed content for this section is being written and will be published soon.
Results
Detailed content for this section is being written and will be published soon.
What I learned
Detailed content for this section is being written and will be published soon.
Technologies
- AI agents
- Raspberry Pi
- Supabase
- Local models
- Cloud models
- Automation
- Agent dashboards