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𓆩𝐒𝐌𝐎 𝐋𝐀𝐌𝐄𝐑 𝐁𝐑𝐎𓆪
𓆩𝐒𝐌𝐎 𝐋𝐀𝐌𝐄𝐑 𝐁𝐑𝐎𓆪
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Monday 28 October 2024 18:29:27 GMT
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user5654481084760
مسوكه 🪻💖 :
ويكول الشاعر لو يصير حبك موت اموت وبيدك اتفني واكتب عل قبر مظلوم مات وما شبع مني 😔💔❤️‍🔥
2024-11-20 02:09:22
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user83917740307598
الياقوته :
🥺
2024-10-28 19:04:04
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Have you ever wondered why your team misses crucial Slack messages? It turns out, the solution is simpler than you think. We've all been there. A client unfamiliar with Slack sends a direct message (DM) to one of us. The rest of the team remains in the dark, missing out on important information. It's a common issue that can lead to miscommunication and delays. To tackle this, we've implemented an auto-reply system for DMs on Slack. This system is designed to guide clients to the correct communication channels without requiring us to monitor our DMs constantly. Here's a brief rundown of how we set it up: • Webhook Activation: We initiated a webhook that triggers with every DM. This ensures that no message goes unnoticed. • Variables Definition: Essential details like token, challenge type, channel name, and timestamps were defined. Timestamps are crucial to prevent spamming through an infinite loop of messages. • Data Store Integration: A data store module was introduced to keep track of all DMs, identifying first-time messages and repeat communications effectively. • If a message is from a new sender, they receive an automated reply explaining our DM policy and directing them to the appropriate channel. Repeat senders are reminded again, with the system smartly avoiding spamming them if they send multiple messages within a short period. This automation ensures that every team member stays informed and that clients are directed to the proper channels for their queries. It streamlines communication, preventing potential project hold-ups and enhancing overall productivity. Have you set up a similar system? I'd love to hear about your experiences or any tips you might have. And if you're struggling to set this up, drop a comment below, and let's help each other out. Don't forget to share this with someone who might find it useful. 🔄 #artificialintelligence #learnai #ai #aiautomation #aiforbusiness
Have you ever wondered why your team misses crucial Slack messages? It turns out, the solution is simpler than you think. We've all been there. A client unfamiliar with Slack sends a direct message (DM) to one of us. The rest of the team remains in the dark, missing out on important information. It's a common issue that can lead to miscommunication and delays. To tackle this, we've implemented an auto-reply system for DMs on Slack. This system is designed to guide clients to the correct communication channels without requiring us to monitor our DMs constantly. Here's a brief rundown of how we set it up: • Webhook Activation: We initiated a webhook that triggers with every DM. This ensures that no message goes unnoticed. • Variables Definition: Essential details like token, challenge type, channel name, and timestamps were defined. Timestamps are crucial to prevent spamming through an infinite loop of messages. • Data Store Integration: A data store module was introduced to keep track of all DMs, identifying first-time messages and repeat communications effectively. • If a message is from a new sender, they receive an automated reply explaining our DM policy and directing them to the appropriate channel. Repeat senders are reminded again, with the system smartly avoiding spamming them if they send multiple messages within a short period. This automation ensures that every team member stays informed and that clients are directed to the proper channels for their queries. It streamlines communication, preventing potential project hold-ups and enhancing overall productivity. Have you set up a similar system? I'd love to hear about your experiences or any tips you might have. And if you're struggling to set this up, drop a comment below, and let's help each other out. Don't forget to share this with someone who might find it useful. 🔄 #artificialintelligence #learnai #ai #aiautomation #aiforbusiness
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