Why a feedback workflow is critical for production AI

It started with a single flicker of doubt. 💭

Last month, Sarah—one of our power users at Twig—asked a simple but powerful question: “How can I help make the AI answers better?”

In most systems, that question goes unanswered. But at Twig, it became our spark. 🔥

Here’s what happened next:

• Sarah tapped the “Feedback” button on a reply that felt off.
• She typed why it missed the mark—a quick note, no more than a sentence.
• Boom: behind the scenes, that question was tagged “Needs Attention.” 🚨

From there, our team jumped into action:
1️⃣ Notification sent to the AI Quality Squad.
2️⃣ They reviewed Sarah’s comment, dove into the transcript, and spotted the gap.
3️⃣ Updates rolled out—tweaks to our knowledge base, fine-tuned prompts, and fresh test cases.
4️⃣ Resolved—and Sarah saw her next answer land in the high 90s for accuracy. 🎯

This “Answer Quality Workflow” isn’t just a process—it’s a promise: when you speak, we listen. And together, we push AI performance from good to exceptional. 🚀

Imagine an AI that learns not just from data, but from you—every question, every piece of feedback, every insight. That’s real, human-driven AI improvement.

Ready to be part of the journey? Follow me for more behind-the-scenes stories on how we’re building AI that truly listens—and let’s keep raising the bar, together. 👥✨

#CustomerExperience #AI #FeedbackLoop #AITechnology #CXInnovation #ProductStory #TwigAI #AIQuality #TechForGood

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