The term in this channel ## Jagged intelligence in this material The term comes from Silvio Savarese, Chief AI Scientist at Salesforce, in his Dreamforce 2025 interview with Dan Shipper. He uses it to name the uneven, spiky profile of model capability: the same system that can prove theorems can stumble on ordinary, common-sense business tasks. [^50a3b3fa-9ad2-59a3-9c76-ddfe74635066@220] [moment: 220] It matters for enterprise AI because capability is not a smooth curve you can scale blindly. Savarese pairs the observation with his argument that agents are useless without connected data and context — and with his practice of using simulated organizations with synthetic data to stress-test agents against the real-world gap that jagged intelligence leaves open. [^50a3b3fa-9ad2-59a3-9c76-ddfe74635066@342] [moment: 342] - Jagged intelligence describes uneven model capability — brilliant in some domains, weak in others. - Savarese cites the pattern: models that can prove theorems yet fail at common-sense business tasks. - It motivates simulation-based stress-testing of agents before customers ever touch them.