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For customer-centric organizations, capturing frontline staff's real-world experiences is invaluable, but organizing thousands of handwritten notes and call center interactions can easily overwhelm business teams. In this Customer AI Boost Bite, Giuseppe Ficara of @Amplifon shows how analyzing customer feedback with Gemini Notebook and Gemini automates insights and frees up hours of manual work for store teams. Learn more →

When customer feedback arrives at scale, the challenge is getting each message to the right team quickly. Powered by BytePlus ModelArk, @PT_Transjakarta's TARA categorizes incoming feedback and routes reports to relevant field teams, helping cut response times from around one hour to one minute. Hear more from Mr. Raditya Maulana Rusdi, Director of Information Technology Systems and Services on how TARA supports TransJakarta’s customer service operations.

You have a budget and you have customer feedback. But you’re still figuring out what to launch. Bring both into Replit. Organize the numbers. Explore what customers are asking for. Then follow up: “Use the numbers and feedback to plan the launch.” Create a launch plan and product roadmap informed by both what you can spend and what customers need.

Introducing Gemini 3.6 Flash & 3.5 Flash-Lite — built on developer and customer feedback for scaling AI agents. 3.6 Flash: our workhorse model delivers better coding, knowledge work, and multimodal performance while reducing token usage. 3.5 Flash-Lite: fastest, most cost-effective 3.5-class model — significantly outperforming prior Flash-Lite generations and built for high-throughput applications. Also introducing 3.5 Flash Cyber, a specialized model built on top of 3.5 Flash, and fine-tuned for finding and fixing cybersecurity vulnerabilities. More to come. Read more:

BREAKING: SpaceXAI has just revealed how it is using Grok Bot to transform and scale its entire customer support operation. After Cursor joined SpaceXAI, support tickets increased by 175%. Despite that massive jump, the combined team has not hired anyone new. SpaceXAI says it might otherwise have needed 200 additional people. Here is what Grok Bot now does: • Pre-investigates every incoming support ticket • Checks the help center, customer logs and known issues • Connects with Plain, Linear and Datadog • Creates or updates engineering issues automatically • Reproduces technical problems and records videos for engineers • Uses knowledge from over 1 million customer interactions to match the team's tone • Resolves 99% of refund requests without human intervention • Reprioritizes tickets and assigns them based on urgency • Alerts the team before response-time targets are missed • Detects possible incidents and monitors recurring reports and sentiment on X • Reviews work completed by both humans and other Grok Bots • Finds coaching opportunities and sends weekly quality reports to leadership • Reviews code changes and suggests updates to help-center articles • Flags conversations that go back and forth more than three times • Turns more than 20,000 pieces of customer feedback every day into clear product themes for engineers • Allows Grok Bots to coach other Grok Bots and fill gaps in their knowledge The cost is also much lower. Traditional AI support systems can charge $1 to $4 per resolved ticket. SpaceXAI says Grok Bot can bring that cost down to around $0.20 to $0.30 with minor optimization. Grok Bot is not simply replying to customers. It is working as a support agent, investigator, incident detector, quality reviewer, coach and data analyst at the same time.

BREAKING: SpaceXAI has just revealed how it is using Grok Bot to transform and scale its entire customer support operation. After Cursor joined SpaceXAI, support tickets increased by 175%. Despite that massive jump, the combined team has not hired anyone new. SpaceXAI says it might otherwise have needed 200 additional people. Here is what Grok Bot now does: • Pre-investigates every incoming support ticket • Checks the help center, customer logs and known issues • Connects with Plain, Linear and Datadog • Creates or updates engineering issues automatically • Reproduces technical problems and records videos for engineers • Uses knowledge from over 1 million customer interactions to match the team’s tone • Resolves 99% of refund requests without human intervention • Reprioritizes tickets and assigns them based on urgency • Alerts the team before response-time targets are missed • Detects possible incidents and monitors recurring reports and sentiment on X • Reviews work completed by both humans and other Grok Bots • Finds coaching opportunities and sends weekly quality reports to leadership • Reviews code changes and suggests updates to help-center articles • Flags conversations that go back and forth more than three times • Turns more than 20,000 pieces of customer feedback every day into clear product themes for engineers • Allows Grok Bots to coach other Grok Bots and fill gaps in their knowledge The cost is also much lower. Traditional AI support systems can charge $1 to $4 per resolved ticket. SpaceXAI says Grok Bot can bring that cost down to around $0.20 to $0.30 with minor optimization. Grok Bot is not simply replying to customers. It is working as a support agent, investigator, incident detector, quality reviewer, coach and data analyst at the same time. Full Blog Here