Introducing Iris: Your New Research Agent

Stop Searching, Start Understanding: Introducing Iris, Your New Research Agent

We've all been there: You have a big, complex question that could shape your following product, strategy, or creative idea. You open the search bar, and it all begins.

After browsing fifteen tabs, you're overwhelmed by links, SEO articles, and conflicting info. You have data, but no clear picture. Search engines find simple facts, but you must sift through chaos, verify sources, and piece together information into a coherent view.

This challenge shifts from simple searching to ​Deep Research​: a strategic, comprehensive pursuit. Industry thinkers agree it's not just an improvement but a change that redefines innovation and strategizing. While AI "answer engines" have emerged to bridge this gap, they often operate as "black boxes," delivering summaries without proper context. They are a step forward, but as many have found, they usually aren't enough to produce the novel insights needed for a real breakthrough. They tell you the "what," but leave you searching for the "so what."

The true goal has never been just to search faster, but to gain a deeper understanding.

That's why we're introducing ​Iris​. It's not just any search tool or simple question-and-answer engine. Iris is your new, dedicated research assistant, designed from the ground up to be your partner in understanding.

Meet Iris: Your AI Partner for Deep Insight

Iris is more than just a feature. She's a brand new, dedicated member of your agent team. Her goal is to go beyond superficial answers and deliver what you truly need: in-depth, insightful, and perfectly structured research reports.

Iris's true appeal lies in its interactivity and transparency. Unlike "black box" AI tools that leave you guessing, Iris invites you to participate in the research journey, ensuring the final report perfectly aligns with your goals. Here's how it works:

• Initial Briefing. ​You begin with a simple conversation with Iris, explaining your research topic: it can be as broad as "Analyzing the future of decentralized finance" or as specific as "Creating a competitive analysis of the three major CRM platforms for small businesses."
• Strategic Outline. ​Iris will provide a final answer quickly, but she will also offer a research outline. This is her strategic plan, showing you the specific structure and components of her planned research.
• Collaborative Improvement. ​This is when you take control. You can approve the outline and suggest changes, such as adding a section on emerging markets, removing uninteresting competitors, or exploring a specific technology trend more deeply. You have complete control over the direction of your research.
• Final Report. ​Once you approve the outline, Iris will execute the plan. She will thoroughly research the sources, synthesize and analyze the findings, and deliver a comprehensive, clearly structured report in both Markdown and PDF formats, complete with citations.

The "A-Team" Behind the Insight: A Look Inside Iris's Multi-Agent Brain

How does Iris produce such high-quality, insightful reports? She doesn't work alone. Her exceptional performance comes from a coordinated team of specialized agents working in concert:

• The Planner: This agent acts as the lead strategist. It meticulously analyzes your request and creates the intelligent research outline.
• The Executors: A team of diligent researchers who work in parallel, executing each part of the approved plan by gathering and analyzing information from a vast array of sources.
• The Summarizer: A master communicator who takes the complex findings from the Executors, synthesizes them into a coherent narrative, and formats everything into the final, polished report.

This multi-agent system guarantees that each report is not only comprehensive but also insightful and easily interpretable, comparable to those generated by a world-class human research team.

The "Insight Engine": Why Iris Sees What Others Miss

We built Iris to be the best in the world at deep research, so we put her to the test against the leading AI research tools, which include Gemini-2.5-Pro, OpenAI, Kimi, and Perplexity, on our DeepResearch Bench.

The results are not just positive; they're a clean sweep.

As you can see, Iris (represented by the blue bar) is the definitive leader across every single category we measure. But the most important metric on this chart, the one that separates simple summaries from actual strategic assets, is ​Insight​. This is the measure of an AI's ability to go beyond summarizing facts and actually connect the dots, identify underlying trends, and uncover the crucial "so what" behind the data.

On this metric, Iris achieves a staggering score of ​56.8​, leaving even the closest competitor far behind.

This isn't just a higher number; it's a fundamentally different quality of output. It means Iris delivers the kind of strategic understanding that can inspire a new feature, validate a market entry, or give you a decisive competitive edge.

The First Domino: How Deep Research Ignites Your Entire Workflow

Perhaps the most potent thing about Iris is that her work is never the end. It's the first domino in a high-value workflow. Imagine building a new software product. The old process was based on guesswork, whereas the new one begins with clarity.

1. It Starts with a Question for Iris. You have a hunch. You ask Iris: "What is the market viability for an AI-powered tool that automates code documentation?" She returns a deep research report, highlighting a specific, underserved niche: real-time documentation for enterprise-level APIs.
2. Insight Becomes a Plan. Armed with this validated insight, you turn to your Product Manager Agent. You hand it Iris's report and say: "Based on this research, draft a Product Requirements Document (PRD) for an MVP."
3. The Plan Becomes a Product. With a data-backed PRD in hand, your Developer Agent takes over. It can now use that plan to build a full-stack application, complete with a real database and user authentication, turning the initial insight into a tangible, working product.

In just three steps, you've moved from a vague question to a fully specified, market-aware product ready for development. Iris isn't an isolated tool; she's the catalyst for your entire agent team.

Your Next Breakthrough Starts Here

Iris is now available in your agent team. Getting started is simple:

1. Turn on the "DeepResearch"
2. Start a new conversation and present her with your initial research topic.
3. Collaborate on the outline and watch her deliver the deep insights you've been missing.

To spark your imagination, try one of these prompts:

• "Analyze the impact of generative AI on the digital marketing industry."
• "Create a competitive analysis of the top 3 open-source alternatives to Figma."
• "What are the key technological trends shaping the future of sustainable energy?"

Your next big idea is just one conversation away. Start your first deep research project with Iris today.

FAQ

• What makes Iris different from typical answer engines?
  • Iris collaborates on an outline, conducts research from various sources, and produces well-structured, citation-supported reports that offer clear insights, not merely summaries.
• How does the multi‑agent system improve research quality?
  • A Planner develops the outline, Executors gather and analyze data at the same time, and a Summarizer assembles the findings into a clear report.
• Can I customize the research direction?
  • Yes. You can modify the outline, add or remove sections, and guide Iris toward markets, competitors, or technologies that are important to you.
• What formats does Iris output?
  • Markdown and PDF, with citations included for verification and sharing.
• Where does Iris fit in my workflow?
  • Iris kick‑starts product and strategy work by turning questions into validated insights that feed PRDs and execution.