The interesting part is that agents won’t be limited by the messaging apps people use anymore. Being able to call, text, or reach you on WhatsApp, Telegram, email, and more makes agents much more accessible. $100 in credits is a good reason to start building.

Viktor turned 156 raw Google Ads cells across 12 campaigns into 8 decisions: 6 ready for a yes or no, 2 that needed more data. Nothing changed until we approved. We work in marketing, using Google Ads data to help our team make better campaign decisions. We kept reviewing Google Ads numbers and flagging anything that stood out. But the more we flagged, the more work our team still had to do to figure out what actually needed a decision. Our first fix was more flags, and it only made the pile bigger. Our Google Ads review wasn't getting stuck on analysis. It was getting stuck on decisions. So we gave Viktor, an AI employee in our Slack, a recurring job: turn raw Google Ads data into an approval-ready decision brief. He checked the data, recalculated the reported metrics, compared each campaign against the account baseline, and turned the review into those 8 decisions. Our Marketing Lead reviews Viktor's recommendations, while our Campaign Manager checks the campaign evidence before any changes are approved. Viktor prepares the evidence; our team still makes the call. Nothing was changed in Google Ads. The interesting part wasn't another dashboard. It was turning raw campaign data into clear decisions without making the team work through every number themselves. Seats are for tools. Employees are priced on output. Where does your ads review actually stall: the analysis, or the decision? Hire @viktor_com for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #MarketingOps #AI Paid Partnership