Your AI agent isn't slow, you're just feeding it wrong. The moment it needs to pull data from GitHub, Slack, and Sentry all at once, the whole workflow starts breaking down with expensive chains, bloated prompts and answers that make no sense. @WithCoral_com is an open source tool that puts a clean SQL layer between your agent and all your data sources so it gets precise, structured answers instead of a pile of half-related snippets and works with whatever stack you already run. Build something with Coral and win $10,000: forms.gle/dxBPLK17A8dXwp64A

Building AI agents across multiple tools sounds powerful until the prompt budget is gone before your model gets a word in. @WithCoral_com is the fix where instead of raw API responses flooding your context, Coral lets you query GitHub, Slack, Sentry & more as SQL making data precise, structured, and prompt-friendly. You can experiment with Coral and win $10,000 at same time - join Pirates of the Coral-bean hackathon: forms.gle/dxBPLK17A8dXwp64A Amazon echo dots for making early registrations!!