A search-first assistant — answers grounded in live web results with sources attached.

Pick this when

The question is about the current state of the world and you want citations rather than recall.

What makes it different

Search-grounded by default, so freshness isn't something you have to ask for

Used in the course as a spec-checker: paste laptop specs, ask which local model variant fits

What it does

Answers current-events and product questions with live sources

Acts as a screenshot-a-problem debugging companion alongside ChatGPT

What it does not do

Common wrong expectations

Doesn't replace a reasoning assistant for long structured work

Where it sits in a stack

Quick grounded lookups during a build, especially hardware and version questions where training data is stale.

Shelf

Chat assistants · Scraping & data sources

Our status · not-using

Web search inside the Claude stack covers this.

For your projects

None pressing.

Freshness

current

Related tools

competes withChatGPT

chatgpt: named together as debugging companions

Every moment the course touched it (16)

SessionCoverageMomentWhat happened
Session 5: Mastering Lead Generationdemonstrated1:47:59Live cited lookup of current Sales Navigator filter names — the antidote to ChatGPT's stale training data
AI Sprint: The Open Source Playbook — Day 1 (Licenses, Open Weights, and Why Open Isn't Free)demonstratedThe live open-source triage tool: n8n check, model-tier lookups, technical-term homework
AI Sprint: The Open Source Playbook — Day 2 (Weights 101, OpenCode, and the Subsidy Math)demonstratedThe model-council feature being rebuilt; also the assigned lookup tool for technical terms
AI Sprint: Claude Code with Antigravity — Day 1 (Taste as the Moat, the Muscle-and-Mirror Setup, and the Model Council Build)explainedThe model-council feature being rebuilt — 'charging $200 for this'
AI Sprint: Windsurf & Devin — Day 2 (Building Superplexity: Plan with Opus, Execute with Cascade, Review with Devin)explainedSonar (Perplexity's search model) replaces Google entirely — the better-Perplexity built on Perplexity
Basecamp 2: Vibe Codingmentioned2:17:21Screenshot-a-problem debugging companion alongside ChatGPT
Basecamp 3: Introduction to n8n — Imentioned2:11:46Paste laptop specs, ask which local model variant fits
Session 2: How to Plan, Scope and Sell your AI Projectsmentioned0:32:42'Where are real estate agents hanging out?' — niche channel research
Session 10: Building on Cursor & connect with AI workflowsmentioned2:12:11The unstick move for any service setup: 'I am trying to do X, I am stuck here'
Session 20: Complete LinkedIn Agency Automation — Carousels + Newsletter from One Content SystemmentionedSonar API named and declined: 'I didn't find it that great'
Session 21: Advanced Data Extraction from PDFs — Parsing, OCR, and the Token-Free ProductmentionedSonar API named on the scraping side of the divide
Session 22: Automate Admin Tasks — Advanced RAG (Enterprise 'Internal Perplexity' Built Live)mentionedThe interface pattern being cloned ('internal Perplexity')
Session 23: Automating AEO/GEO — Audits, the File Layer, and Evidence-Led AI SearchmentionedNamed among the answer engines ('wrappers like Perplexity') whose bots the file layer admits
Learning Topics: Sessions 1–5 — Foundations to AI DirectormentionedComet agentic browser (toolkit #10) — crawl-your-own-profile pattern feeding the interview rehearsal
AI Sprint: The Hermes Agent — Day 1 (Always-On Agents, the Employee-on-Day-One System, and the Self-Improving Ghostwriter)mentioned'If your question starts with does Hermes—, ask Perplexity' — the training-wheels boundary
AI Sprint: Windsurf & Devin — Day 1 (Vibe to Agentic: GitHub as Pizza, the Four Spec Concerns, and the IDE Lineage)mentionedThe benchmark Superplexity aims to advance

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