We've all been there. You have a complex question—one that requires more than a simple fact-check. You open a dozen browser tabs, sift through articles, and try to piece together a coherent answer from a sea of fragmented information. This manual process of research is not just tedious; it's slow, inefficient, and often incomplete.
What if you could ask a deep, multi-faceted question and get a synthesized, structured answer back, complete with sources?
That’s the promise of research.do. We’re moving beyond the simple search bar to offer AI-powered research as a service. But how does our AI agent actually handle a query like, "What are the latest advancements in quantum computing and their potential impact on cryptography?" Let's pull back the curtain.
A standard search engine is a powerful tool for finding documents. You enter keywords, and it returns a list of links it deems relevant. The heavy lifting, however, is still on you. You must:
This workflow is a bottleneck for businesses needing rapid market analysis, academics conducting literature reviews, and developers building information-rich applications. The search bar finds the ingredients; you still have to cook the meal. Our AI agent is the chef.
When you send a query to the research.do API, you're not just "searching." You're initiating a sophisticated, multi-step workflow designed for analysis and synthesis.
The first thing our agent does is break down your question to understand its underlying intent. A complex query is rarely a single question.
Our example, "What are the latest advancements in quantum computing and their potential impact on cryptography?", is actually a bundle of interconnected sub-questions:
The AI agent identifies these components to build a comprehensive research plan.
Unlike a monolithic search index, research.do strategically queries the best sources for the job. In your API call, you can specify where the agent should look.
const report = await research.query({
question: "...",
sources: ["arxiv", "google-scholar", "web"],
// ...
});
For a technical question like ours, the agent knows that arXiv and Google Scholar are critical for cutting-edge academic papers, while a general web search can provide context, news, and explanatory articles. It can also be configured to access internal documents, connecting public knowledge with your private data. This targeted approach ensures the agent gathers high-signal, relevant information from the outset.
This is where the real magic happens. The research.do agent doesn’t just give you a list of links. It reads and understands the content from the selected sources.
The final step is to assemble the synthesized knowledge into a clear, structured, and useful format. A wall of text isn't actionable. That's why you can specify the output you need.
const report = await research.query({
// ...
depth: "comprehensive",
format: "summary_report"
});
console.log(report.summary);
Whether you need a summary_report, a list of bullet_points, raw q&a_pairs, or a detailed_analysis, the agent organizes its findings accordingly. The result is a clean, machine-readable response that distills hours—or even days—of manual research into a single, actionable payload.
The entire process described above is initiated with a simple API call.
import { createDo } from '@do-sdk/client';
const research = createDo('research.do');
const report = await research.query({
question: "What are the latest advancements in quantum computing and their potential impact on cryptography?",
sources: ["arxiv", "google-scholar", "web"],
depth: "comprehensive",
format: "summary_report"
});
console.log(report.summary);
This code snippet hands off the entire complex research workflow to our AI agent. It’s automated analysis on demand, allowing developers and researchers to programmatically retrieve insights for any business or AI workflow.
By moving beyond the search bar, research.do transforms research from a manual, time-consuming task into an efficient, scalable, and automated process.
It’s time to stop searching and start knowing.
Ready to automate your research workflows? Explore the research.do API and turn your most complex questions into structured insights today.