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AIAP Tool Guides·Perplexity·16:28

Perplexity Overview: Live Web Search plus AI Synthesis with Line-Level Citations, Live Data, and Deep Research

Karan Rana Brand/marketing manager, YouTuber, podcaster and course creator ("a non-tech guy"); presents the AI for Marketing, NotebookLM and Manus tool guides
▶LMS lesson
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Lesson 1 of 4 in Perplexity
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The short version

  1. Perplexity searches the web in real time, synthesises an answer and attaches numbered citations - a "ChatGPT and Google hybrid" (0:00-0:05).
  2. Check a doubtful figure by clicking the citation buttons on that line; live data such as a share price matched Moneycontrol to within two rupees (0:03-0:08).
  3. Deep Research breaks a multi-part question ("economic impact of remote work, tech versus traditional industries") into cited steps; use it ethically - research fodder, not copy-paste (0:08-0:16).

At a glance, three clicks deep

Skim here first: the closed row is the glance, open is the study card with the key points and timestamps, and the ↓ link drops to that concept's full write-up below.

01Answers you can verify line by lineEvery sentence carries numbered sources;›

Every sentence carries numbered sources; open Sources or the per-line buttons to confirm a claim before using it.

How it works (0:02-0:04)

Live data (0:06-0:07)

Hallucination (0:07-0:08)

↓ Full write-up of this concept

02Deep Research for multi-part questions - and using it ethicallyDeep Research plans sub-questions, researches each with citations, shows its steps, then writes a synthesis.›

Deep Research plans sub-questions, researches each with citations, shows its steps, then writes a synthesis.

Deep Research (0:09-0:12)

Use cases and ethics (0:12-0:14)

Dashboard (0:14-0:16)

↓ Full write-up of this concept

The concepts in full

01

Answers you can verify line by line

how-to

The citation check is "my favorite way" to use it.

Asked about renewable-energy developments, it cited ten sources; doubting "10 to 75 billion" in investment, he traced it through the three sources on that line - "of course we need to spend five minutes on it". Hallucination is an AI answering wrongly "100% confidently"; a creator-economy figure off by ten times is the danger. His line that hallucinations became "a thing of the past" overstates it - his own advice is to back-check.

Do it in this order
Why it matters

Research you can stand behind in a deck.

This idea elsewhereparallelCatalyst Session 5: ChatGPT -> Perplexity research chain
02

Deep Research for multi-part questions - and using it ethically

"Do not copy-paste what it gives you" - apply your own brain and opinions.

The remote-work comparison showed steps with 8 and 6 citations and concluded tech has cost and talent advantages while traditional industries have less flexibility. Use cases: students, market and competitor research, journalists, breaking-news summaries, travel planning. Dashboard: thread history, Discover, Spaces, voice mode; a free plan exists.

Why it matters

Depth when one search is not enough.

This idea elsewheredeepenedPerplexity: when to use - and not use - Deep Research

Tools referenced

ToolCoverageMomentContext
Perplexitydemonstrated
Perplexity Deep Researchdemonstrated
Moneycontroldemonstrated
ChatGPTmentioned

Session materials

Archived locally on V: — click to open. Companion pages link to the LMS.

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Action items

    Resources mentioned

    Resources
    • docLesson page on the platform

    Extraction notes

    This page was built from an auto-generated transcript, which garbles product and people's names. Those were corrected silently in everything above and logged here for transparency. The warnings flag claims that were true on the recording day but change fast.

    Transcript corrections applied

    The transcript saysThe trainer actually means
    usbUSP
    hulHUL (Hindustan Unilever)
    growGroww

    True on recording day — verify before relying

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