How to Use the Perplexity Agent API for Meeting Prep That Actually Works

If you spend twenty minutes opening tabs before an important meeting and still walk in feeling underprepared, this is for you. Managers and ops professionals waste real time on fragmented pre-meeting research, and most AI tools make it worse by requiring you to do the synthesis yourself. After this article, you will have a single prompt you can run in the Perplexity API playground today that replaces six browser tabs with one focused briefing.

Why This Matters

The problem is not a lack of information. It is how research actually happens in practice. You open a search, a company page, a LinkedIn profile, a news filter, maybe a Reddit thread for unfiltered opinions. You read fragments. You lose the thread. You close the tabs feeling only slightly more informed than when you started. That is not research. That is grazing. And it costs between fifteen and thirty minutes you almost certainly do not have before a back-to-back calendar day.

Most AI tools solve only part of this. You can ask ChatGPT to summarise a company, but it will not fetch live news or pull data from a funding announcement from six weeks ago. The retrieval and the synthesis are still on you. That is the gap the Perplexity Agent API closes.

The System

The Perplexity Agent API launched on 13 August. If you have a Perplexity account, you can access it through the developer dashboard and use it directly in the API playground without building anything custom. That is enough to test whether this fits your workflow before committing.

The specific prompt to use for meeting prep is below. Paste it with a real company name before your next external call.

PROMPT: I have a 30-minute call with [company name] on Friday. They are in [sector]. I need to know: what they actually do in plain terms, any significant news from the last 90 days, any obvious pressure points in their business right now, and one or two things worth asking them that they would not expect. Keep it under 400 words.

In testing, the output pulled a funding story that had not surfaced in a standard search, flagged a leadership change buried in a trade publication, and suggested a question tied to a specific market shift in the company's sector. The whole process took around 25 seconds. Replicating that manually produced patchier results in closer to 20 minutes.

The reason this works without prompt engineering is the wide-research preset. The model decides which tools to invoke, whether that is search, URL fetching, or finance data, and then synthesises the result. You do not manage the retrieval steps. You think about the meeting.

A few honest caveats. Financial data on smaller private companies came back thin. People search felt less reliable than a direct LinkedIn check. And if API playgrounds are unfamiliar territory, there is a small setup friction, though Perplexity's documentation is clearer than most.

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What to Expect

Used consistently before external meetings, this workflow changes the quality of your preparation without adding time. You arrive knowing something specific, not just something general. The prompt reliably surfaces recent news, pressure points, and conversation angles that a homepage scan will not give you. Over time, the habit of tab-grazing gets replaced by a single intentional query, and the cognitive overhead of pre-meeting research drops significantly.

Start Here

Open the Perplexity API playground, paste the prompt above with a real company name, and run it before your next external meeting. You do not need to build anything or change your existing tools. One test in the playground is enough to know whether this belongs in your workflow.