We Added Real-Time Research to Pi. Here's What That Actually Means for You.

There is a specific kind of frustration that anyone who has used AI to build presentations will recognise.

You ask the AI to build you a market analysis slide. It produces one. The statistics look authoritative. The numbers are specific. The framing is confident. And then you start fact-checking, and you find that two of the statistics are wrong, one is from 2019, and one you simply cannot locate a source for at all.

This is not a small problem. A presentation built on unverifiable data is worse than a presentation built on no data, because it creates false confidence in the people who rely on it.

The Problem With How AI 'Researches'

Most AI tools do not actually research. They retrieve. They return information that was accurate at some point, with high confidence, whether it remains accurate or not.

For time-sensitive content — market data, competitor landscapes, regulatory updates, industry statistics — this is a significant failure mode. The AI sounds certain. The information is stale.

The gap between 'AI-generated research' and 'actual research' has been one of the most significant barriers to trusting AI-built presentations with anything that matters.

Today we close that gap.

Pi Has Integrated Tavily — The World's Leading AI Search Engine

Tavily is not a consumer search engine. It was built specifically for AI agents — designed to retrieve actual, current, cited information from across the web in a single call, with the kind of depth and breadth that makes research genuinely useful.

When Pi's Agent Mode now builds a presentation, it uses Tavily to search 20+ real sources simultaneously — news outlets, academic papers, industry reports, authoritative databases — and every piece of information it pulls is cited.

What This Changes In Practice

Market Research Slides: when you ask Pi to build a market analysis for your industry, it now searches for current market data, recent reports, and live industry figures. The statistics in your slides link to their sources. You can verify every number before your meeting.

Competitive Landscapes: the competitive slide is the one that goes stale fastest. A company that launched six months ago won't exist in any AI model's training data. Tavily searches the current web, which means your competitive landscape reflects the world as it actually is right now.

Policy and Regulatory Content: for anyone working in sectors where regulations change — finance, healthcare, technology, government — the difference between current and outdated information is not a quality issue. It is a compliance issue. Pi's Tavily integration ensures the information is drawn from current sources, not from a model's memory of what the regulations used to say.

The Part That Matters Most: Traceability

The feature we are most proud of in this integration is not the breadth of search. It is the source attribution.

Every claim Pi makes when Tavily is active is linked to its source. Not in a footnote you have to hunt for — inline, visible, clickable. You can review every source before the presentation leaves your hands.

This is what changes the relationship between AI-generated content and professional trust. It is not enough to get accurate information. You need to be able to verify it. Tavily integration gives you that verification layer as a native part of the workflow.

Extensive research never equaled accuracy. Pi plus Tavily now gives you both.