Recall and signal-extraction tested on 200 anonymised B2B sales calls across Sonnet 4.6, GPT-5, and Gemini 3.1. A templated Haiku 4.5 prompt with a structured schema beats default Sonnet output for 80% of summary use cases at one-fifth the cost — but only if the rep can edit the schema.
This piece is being expanded into a full long-form article in the coming weeks. We publish each insight once the engagement it draws from has settled enough that we can name the trade-offs honestly — not while a pattern is still proving itself in production.
Field notes ship when the engagement they came from has stopped surprising us, not before.
Want the long-form version when it lands? Or want to skip ahead and talk through the same questions for your own company?