Essays on RAG, BANT scoring, AI-native sales, and the engineering behind OyeChats.
How OyeChats infers Budget, Authority, Need, and Timing from natural conversation, then hands sales a ready-to-call lead.
A practical decision guide for teams choosing between retrieval augmented generation and fine tuning a base model.
Why blending vector similarity with keyword search consistently outperforms either method alone, and how to implement it.
The signals that actually predict intent, the ones that only feel like they do, and how to use both without breaking trust.
How to design webhooks that stay reliable under retries, spikes, and partner outages, without turning into a support nightmare.
