We’ve all been there. You have a complex question that needs a deep, nuanced answer. It could be a market analysis for a new product, a competitive intelligence report, or a summary of the latest scientific literature. The process is painfully familiar: open a dozen browser tabs, sift through mountains of information, copy-paste snippets into a document, and spend hours, if not days, trying to synthesize it all into a coherent narrative.
This manual, time-consuming process is a bottleneck for innovation and decision-making. What if you could delegate the entire task—the searching, the reading, the filtering, the analysis, and the synthesis—to an intelligent system and get back a structured, usable report?
What if you could turn research into a service?
At research.do, we believe the future of information access isn't about finding more links faster. It's about getting direct, synthesized answers. We've built a platform to do just that.
research.do deploys autonomous AI agents to perform comprehensive research, data gathering, and analysis. Instead of returning a list of documents for you to read, our service does the cognitive work and delivers structured insights on-demand, integrated directly into your applications.
Research. Analyze. Deliver. That’s the new workflow.
The magic lies in our agentic workflow. You don't just "search"; you deploy an agent with a specific mission.
The true power of this approach is its simplicity and integrability. With our SDK, you can embed world-class research capabilities into any application with just a few lines of code.
Here’s how you could generate that market analysis report programmatically:
import { Do } from '@do-inc/sdk';
const research = new Do('research');
async function getMarketAnalysis(topic: string) {
const report = await research.query({
prompt: `Generate a market analysis report for ${topic}.`,
sources: ['web', 'news', 'sec-filings'],
depth: 'comprehensive',
format: 'json'
});
console.log(report.summary);
return report;
}
getMarketAnalysis('Quantum Computing in Finance');
In this example, our AI agent will scour the web, news articles, and financial filings to produce a report on the intersection of quantum computing and finance, delivering a structured summary directly to your console. This isn't just automation; it's abstracting away an entire department's worth of work into a single function call.
It's natural to ask, "How is this different from a search engine?" The difference is fundamental.
It's the difference between being handed a library and being handed a finished report with footnotes.
By embedding research.do into your systems, you're not just using a tool; you're codifying a critical business process. This is the essence of Business-as-Code. Repetitive, high-value tasks like due diligence, R&D literature reviews, and competitive monitoring can now become automated, scalable, and repeatable functions within your software stack.
Imagine applications that can:
The manual research grind has held back progress for too long. It's time to go beyond the search bar. It’s time to automate anaylsis and integrate intelligence.