I built a context machine both users and LLM's love

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I built a context machine both users and LLM's love

Hi HN, Many people underestimate the importance of context when using LLMs. I used to fire off vague prompts like: “Hey, build me the X tool” or “Generate a long-form article on Global Warming”. and got generic, sloppy responses. Turns out, the problem wasn’t just the prompts, I needed a more systematic solution. So I started building AI capabilities into our agency’s management tool, Overbooked. After hours of iteration, I realized how powerful it is when you combine structured data with the right agent tools. There are two sides to the coin: Using the MCP Server inside the IDE You can connect Overbooked to modern IDEs like Cursor super easily: { "mcpServers": { "overbooked": { "url": " https://www.overbooked.app/api/mcp " } } } Your Cursor agent now has access to over 15 valuable tools. Here are some real-life examples of how users, including myself, are utilizing them: 1. Cross-repo context Say you’re maintaining a frontend and backend in separate repos. You can ask Cursor to: “Create a resource in project X including the required changes we need to apply on the server repository.” and on the server repo: “We need to do some changes on the X route, get the Required Changes resource and start refactoring.“ Boom! Context preserved across both. 2. Delegating tasks and preventing hallucinations You want to add a new feature to your app but Cursor can get ahead of itself quite often, generating unnecessary code or losing track of the task. Instead, try this: “We will implement X feature using existing modules whenever possible. Please create the necessary tasks and update their statuses as you go.” The plan is now clear and accessible for the LLM. It also reduces the amount of hallucinations significantly. 3. Initializing and structuring new projects Overbooked provides a variety of valuable tools for generating essential project documents, such as PRDs, tech stacks, and core features, as well as creating branded assets like color palettes, typography styles, and logos. You can always export them from the app, but they are also accessible via the MCP server for convenience. Try these: “Initialize a Nextjs app based on the documents of project X.“ “Pull the styles of project X and update the global.css to include the colors and typography styles.” Using the Chat Window inside the app All MCP tools are accessible within the app, and some of them are more effective when used in the chat window. Some examples: 1. Brainstorming in a group chat Each project in Overbooked includes a dedicated group chat tab. This is useful for brainstorming purposes because anyone on the team can tag Overbooked to ask questions, gather information from the internet. Check out the screenshots below:   2. Generate long-form articles or social media posts Below is a screenshot demonstrating Overbooked conducting research before generating the article:   3. Talk to your calendar You can even talk to your calendar and let Overbooked create reminders for you. Check out the screenshot below:  Using this daily has boosted our productivity, lowered stress levels, and provided us with more free time. I invite you to explore it and share your thoughts; any feedback is welcome!