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PromptQL Tag – The company-wide AI agent for Slack

PromptQL Tag is an AI agent for Slack that gives the entire company access to a shared, context-aware assistant. It answers questions using the company's internal knowledge base without requiring individual setup or API keys. The agent is designed to be installed once and used by everyone in the workspace.

Background

- PromptQL is a startup building an AI-powered query tool that lets non-technical users ask questions in natural language and get answers from company data. The "PromptQL Tag" feature turns this into a Slack agent that any team member can @-mention in a channel to ask business questions (e.g., "how many support tickets did we close last week?") and receive answers drawn from internal databases, documents, or APIs. - The core idea: instead of needing SQL skills or a data analyst, employees can query company-wide data directly from Slack—similar to how people already use chatbots like ChatGPT, but connected to the company's private, structured data. - This is part of a broader trend where AI agents (software that can take action or retrieve information autonomously) are being embedded into workplace tools like Slack, Teams, or email, rather than living in separate apps. - Key prior context: Slack has its own built-in AI features, and competitors like Glean, Notion AI, and various "Slack bot" startups also offer workplace Q&A. PromptQL differentiates by focusing on real-time, structured querying (like databases) rather than just searching documents.

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PromptQL Tag – The company-wide AI agent for Slack

Background

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