Anthropic's new Claude for Slack targets enterprise users, not the majority of small businesses who use platforms like Telegram, WhatsApp, and Gmail. The author argues that this functionality is easily replicable on other messengers with bot APIs for a much lower cost. A four-part recipe is presented for building such a bot: a webhook for mentions, a context store for thread history, a model call to Claude, and a reply mechanism. The webhook receives messages, and a simple SQLite database stores relevant conversation history. Claude is then queried with the system prompt and accumulated context to generate a response. Finally, the bot sends its reply back to the same chat thread. The author emphasizes that the true value lies in integrating AI into existing workflows rather than the AI model itself. This approach offers significant cost savings compared to enterprise Slack solutions. The author recommends starting by setting up the webhook and context store without immediately integrating the AI model. This basic setup allows for logging and understanding conversation flow before proceeding. The described method provides a cost-effective and customizable solution for AI integration in small business communication.