I built a context machine both users and LLM's love
Show HN: I built a context machine both users and LLM's love
I built a context machine both users and LLM's love is a business in show hn launch.
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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 IDEYou can connect Overbooked to modern IDEs like Cursor super easily:{ "mcpServers": { "overbooked": { "url": "https://www
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| Sector | Show HN launch |
|---|---|
| Stage | Show HN launch |
Website: www.overbooked.app
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