1. how to help analysts stay on top of the analysis when agents can output it faster than they think
2. how much of the sensitive analysis/workflow augmentation can be done using local models on standard machines (targeting 2026 laptops) with only the summaries leaving the computer to be processed by a frontier
3. what interactive computing UI such as Jupyter should offer under assumption that coding is solved by AI, but human understanding is the bottleneck
I built it to explore a few things:
1. how to help analysts stay on top of the analysis when agents can output it faster than they think
2. how much of the sensitive analysis/workflow augmentation can be done using local models on standard machines (targeting 2026 laptops) with only the summaries leaving the computer to be processed by a frontier
3. what interactive computing UI such as Jupyter should offer under assumption that coding is solved by AI, but human understanding is the bottleneck
Repository: https://github.com/openteams-ai/whybook