A short video showcasing some features of the AI agent "Better Call GRUTA." The agent warns its users about FUDers in the Twitter community it is connected to. Warnings are sent via Telegram. What scenario will you see in this video? The AI agent is connected to one of the X communities. The AI does not yet know which users might be FUDers and which are not. At this stage, the AI is trained on 10,000 messages from another group that experienced a FUD attack. After connecting to a new community, the agent downloaded and analyzed all messages in the newly connected X community. 1. Case 1: After starting monitoring, the AI agent notices a Twitter account from the community posting a seemingly ordinary message. However, after analysis, the AI determines that this is a potential FUDer preparing an attack. The AI notifies the user who employs the agent’s services. The potential FUDer is correctly identified. Task completed. 2. Case 2: A second Twitter account posts a positive message, but upon deep analysis, it is revealed to be a "Trojan Horse" type of FUDer. This account was planted in the community long ago to destabilize it at the right moment. The AI agent correctly identifies the FUDer and its type. The user receives a warning and a report. 3. Case 3: A third user expresses themselves aggressively, but the AI agent does not react. The AI correctly determines that this is not a FUDer but an ordinary person expressing concern. What conclusion can be drawn from this scenario? The AI agent "Better Call GRUTA" is already capable of distinguishing real threats from ordinary dialogue and does not react to everything indiscriminately. You can see how the user of the AI agent is notified via Telegram in the video. P.S. We conducted a demonstration of the AI agent's capabilities using our test tool, the Twitter Emulator $GRUTA CA: 35t5DPbwJtB1tpGiSnqedLwQomi94BRKVDPyTRLdbonk

A short video showcasing some features of the AI agent "Better Call GRUTA." The agent warns its users about FUDers in the Twitter community it is connected to. Warnings are sent via Telegram. What scenario will you see in this video? The AI agent is connected to one of the X communities. The AI does not yet know which users might be FUDers and which are not. At this stage, the AI is trained on 10,000 messages from another group that experienced a FUD attack. After connecting to a new community, the agent downloaded and analyzed all messages in the newly connected X community. 1. Case 1: After starting monitoring, the AI agent notices a Twitter account from the community posting a seemingly ordinary message. However, after analysis, the AI determines that this is a potential FUDer preparing an attack. The AI notifies the user who employs the agent’s services. The potential FUDer is correctly identified. Task completed. 2. Case 2: A second Twitter account posts a positive message, but upon deep analysis, it is revealed to be a "Trojan Horse" type of FUDer. This account was planted in the community long ago to destabilize it at the right moment. The AI agent correctly identifies the FUDer and its type. The user receives a warning and a report. 3. Case 3: A third user expresses themselves aggressively, but the AI agent does not react. The AI correctly determines that this is not a FUDer but an ordinary person expressing concern. What conclusion can be drawn from this scenario? The AI agent "Better Call GRUTA" is already capable of distinguishing real threats from ordinary dialogue and does not react to everything indiscriminately. You can see how the user of the AI agent is notified via Telegram in the video. P.S. We conducted a demonstration of the AI agent's capabilities using our test tool, the Twitter Emulator $GRUTA CA: 35t5DPbwJtB1tpGiSnqedLwQomi94BRKVDPyTRLdbonk

A short video showcasing some features of the AI agent "Better Call GRUTA." The agent warns its users about FUDers in the Twitter community it is connected to. Warnings are sent via Telegram. What scenario will you see in this video? The AI agent is connected to one of the X communities. The AI does not yet know which users might be FUDers and which are not. At this stage, the AI is trained on 10,000 messages from another group that experienced a FUD attack. After connecting to a new community, the agent downloaded and analyzed all messages in the newly connected X community. 1. Case 1: After starting monitoring, the AI agent notices a Twitter account from the community posting a seemingly ordinary message. However, after analysis, the AI determines that this is a potential FUDer preparing an attack. The AI notifies the user who employs the agent’s services. The potential FUDer is correctly identified. Task completed. 2. Case 2: A second Twitter account posts a positive message, but upon deep analysis, it is revealed to be a "Trojan Horse" type of FUDer. This account was planted in the community long ago to destabilize it at the right moment. The AI agent correctly identifies the FUDer and its type. The user receives a warning and a report. 3. Case 3: A third user expresses themselves aggressively, but the AI agent does not react. The AI correctly determines that this is not a FUDer but an ordinary person expressing concern. What conclusion can be drawn from this scenario? The AI agent "Better Call GRUTA" is already capable of distinguishing real threats from ordinary dialogue and does not react to everything indiscriminately. You can see how the user of the AI agent is notified via Telegram in the video. P.S. We conducted a demonstration of the AI agent's capabilities using our test tool, the Twitter Emulator $GRUTA CA: 35t5DPbwJtB1tpGiSnqedLwQomi94BRKVDPyTRLdbonk