Protocolo de Validación en 4 Fases: Google NotebookLM
GitHub momentum, API openness, and adoption rate (25% Weight)
Context window consistency, memory persistence, latency tolerance (25% Weight)
Zero-data retention, shadow-training risk, enterprise compliance (20% Weight)
40+ hours hands-on field testing by senior staff engineers (30% Weight)
Pros
Contras
Matriz: Google NotebookLM vs Claude 3.7 Sonnet & 3.5 Sonnet
| Kriter | Google NotebookLM | Claude 3.7 Sonnet & 3.5 Sonnet |
|---|---|---|
| Ideal para | Text & Chat AI | Text & Chat AI |
| Precios | Ücretsiz (Google Hesabı) / Workspace Pro | Ücretsiz / 20$/ay (Claude Pro) |
| Calificación | 4.1 ★ | 4.3 ★ |