When you hear "AI Research API," your mind probably jumps to the usual suspects: automating academic literature reviews or speeding up market research. And while our research.do API excels at those tasks, treating it as just a faster search engine is like using a supercomputer as a calculator. You're missing out on its true potential.
The power of research.do isn't just in finding information; it's in the programmatic access, synthesis, and structuring of that information. It's a flexible building block for creating entirely new, intelligent workflows.
Ready to think outside the box? Here are five innovative and unexpected ways to leverage our AI Research API that go beyond the basics.
The Problem: Keeping up with industry news, competitor moves, and technological advancements is a full-time job. RSS feeds are noisy, and manual searching is time-consuming.
The research.do Solution: Create a scheduled script that runs every morning. This script asks research.do a series of highly specific questions and delivers a custom-tailored intelligence briefing directly to your email, Slack, or dashboard.
Imagine starting your day with a perfectly synthesized summary answering questions like:
By requesting a bullet_points format and specifying sources like arxiv, news, and web, you get a concise, scannable report filled with actionable insights, not just a list of links.
The Problem: Your blog or social media calendar needs a constant stream of fresh, relevant, and accurate content. Pulling stats and citing recent studies to add authority to your posts is a manual, repetitive chore.
The research.do Solution: Integrate research.do into your content management system (CMS) or writing workflow. When drafting a post, use the API to instantly pull in supporting data.
Stuck on a post about the future of remote work? A simple query can fetch the latest statistics:
"Find three recent, credible statistics from 2023 or later about productivity in remote vs. hybrid work environments."
The API returns not just the stats but also the citations, as our system prioritizes authoritative sources and provides links for verification. This automates the most tedious part of content creation, ensuring your articles are always timely and data-driven.
The Problem: In a competitive landscape, being blindsided by a competitor's new patent can be disastrous. Manually tracking patent databases is inefficient and prone to human error.
The research.do Solution: Build an automated intellectual property watchdog. Set up a recurring task that queries patent databases and the web for new filings related to your core technologies or filed by key competitors.
A query could look like this:
"List and summarize all new patents filed by 'Competitor Inc.' related to 'AI-powered data synthesis' in the last month."
You get a structured list of new patents, complete with summaries, letting your legal and R&D teams stay ahead of the curve and identify emerging technological threats or opportunities long before they hit the news.
The Problem: Performing initial due diligence on a potential investment, acquisition, or business partner involves sifting through vast amounts of public data—news, financial statements, leadership announcements, and market sentiment.
The research.do Solution: Create a function that performs an instant, high-level background check. This tool can be invaluable for venture capital, M&A teams, or even sales departments qualifying major leads.
By asking for a summary_report, you can get a comprehensive overview from a single query:
"Generate a comprehensive report on 'Startup XYZ', including recent funding rounds, key personnel changes, product mentions in the news, and summaries of their latest press releases."
Our AI agent synthesizes information from disparate sources into a single, coherent report, giving you a 360-degree view in minutes, not days.
The Problem: Tackling a new, complex subject—like a new programming framework or a scientific field—is daunting. It's hard to know where to start, what the foundational concepts are, and who the key experts are.
The research.do Solution: Build a personal learning assistant. When you want to learn something new, you ask research.do to create a "starter pack" for you.
Let's say you want to learn about Quantum Machine Learning:
"Create a comprehensive learning guide to Quantum Machine Learning. Include a definition of core concepts, a summary of foundational academic papers, a list of key researchers in the field, and recent news on breakthroughs."
With a depth parameter set to comprehensive, the API acts like an expert tutor, giving you a structured curriculum with reliable sources from arxiv, google-scholar, and the web. It flattens the learning curve and directs your focus to what truly matters.
Thinking this is complex? It's not. All these powerful workflows can be triggered with a few simple lines of code. Our API is designed for ease of use, allowing you to integrate AI-powered research into any application.
Here’s a glimpse of how easy it is to ask a complex question using our TypeScript SDK:
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);
The true power of the research.do API is its flexibility. It’s more than a tool for information retrieval; it’s a platform for innovation. By automating research and data synthesis, you can build smarter applications, make faster decisions, and unlock insights you never knew you were missing.
What creative workflow will you build first? Explore the docs and get started with research.do today!