Microsoft Build 2024: Essential Guide for AI Developers at Startups and Cloud-First Companies

Incredible insights on leveraging Azure’s AI services to accelerate development! Your breakdown of using Azure Cognitive Search with the new semantic models is especially useful for startups aiming to build intelligent search experiences quickly. One challenge many teams face is ensuring those AI capabilities translate into reliable, user-friendly support workflows in production environments.

At Twig, we’ve tackled this by combining Azure’s cloud-native AI tools with a robust, self-learning support architecture that continuously ingests real user interactions to improve accuracy over time. For anyone looking to bridge that gap, this deep-dive guide covers our end-to-end approach—from model selection and prompt tuning, to monitoring and fallback logic in live support scenarios:

How to build a reliable AI for customer support → https://www.twig.so/blog/how-can-i-build-a-reliable-ai-for-customer-support

Would love to hear how you’re handling things like conversational fallback when the model isn’t confident, or how you’re integrating telemetry to track support resolution quality!