{"slug": "perplexity-users-should-know-10-time-saving-hacks", "title": "Perplexity Users Should Know 10 Time-Saving Hacks", "summary": "Lifehacker published a guide on June 1, 2026, detailing 10 hacks for Perplexity that extend its functionality beyond basic Q&A, including setting it as a default browser search engine and using multiple AI models in a single query. The guide highlights paid-tier features such as Model Council for cross-model verification and Perplexity Computer for background processing and automations, making the tool more effective for rapid research and lightweight task automation.", "body_md": "# Perplexity Users Should Know 10 Time-Saving Hacks\n\nLifehacker published a how-to on June 1, 2026, listing **10 hacks** that expand what Perplexity can do beyond simple Q&A, including setting Perplexity as a browser default, using multiple models, and leveraging background processing and mini-apps, according to Lifehacker. The article notes that paid tiers unlock features such as Model Council and Perplexity's background Perplexity Computer, which enable multi-model cross-checking and longer-running automations, per Lifehacker. Editorial analysis: These capabilities make Perplexity more useful for rapid research, simple automation, and prototype app-building for practitioners who already use LLM-based search.\n\n### What happened\n\nAccording to Lifehacker, on June 1, 2026 the outlet published a guide titled \"10 Hacks Every Perplexity User Should Know\" that shows how to extend Perplexity from an answer engine into a task tool. Lifehacker documents steps such as making **Perplexity** the default browser search engine (with Chrome instructions), using multiple models in one query, and enabling paid features that the article identifies as Model Council and background processing via **Perplexity Computer**.\n\n### Technical details\n\nAccording to Lifehacker, Perplexity lets users select different models such as Gemini, GPT, and Claude in one interface, and the article describes Model Council (available in paid tiers) as a way to have multiple models cross-check or corroborate answers. Lifehacker also reports that Perplexity supports background tasks through Perplexity Computer, which the article frames as useful for automations and longer-running mini-apps; Lifehacker provides step-by-step examples for these workflows.\n\n### Industry context\n\nEditorial analysis: Tools that bundle multiple model backends and provide background processing are following a broader industry pattern of composable AI experiences, where cross-model comparison and off-thread execution reduce single-model failure modes and enable lightweight application logic without a separate infrastructure build. For practitioners, the immediate implication is lower friction for prototyping information-gathering pipelines and simple automations using a search-centric interface.\n\n### What to watch\n\n- •Pricing and tier changes that affect access to Model Council and background processing.\n- •Additional model integrations or developer APIs that would enable programmatic access to multi-model outputs.\n- •Privacy and citation-handling practices when Perplexity runs background tasks on user data.\n\n### Takeaway for practitioners\n\nEditorial analysis: Perplexity's combination of multi-model selection and background execution, as documented by Lifehacker, reduces friction for rapid experiments and small automations, making it a useful tool for researchers and engineers who need quick, source-cited answers plus lightweight workflow automation.\n\n## Scoring Rationale\n\nPractical, actionable tips for practitioners using Perplexity are useful but not transformative. The piece documents product features (multi-model, background processing) that lower prototyping friction; freshness is recent, so moderate relevance.\n\nPractice interview problems based on real data\n\n1,500+ SQL & Python problems across 15 industry datasets — the exact type of data you work with.\n\n[Try 250 free problems](/problems)", "url": "https://wpnews.pro/news/perplexity-users-should-know-10-time-saving-hacks", "canonical_source": "https://letsdatascience.com/news/perplexity-users-should-know-10-time-saving-hacks-5ec4a467", "published_at": "2026-06-02 23:20:36.421745+00:00", "updated_at": "2026-06-02 23:20:38.904758+00:00", "lang": "en", "topics": ["ai-tools", "large-language-models", "generative-ai", "ai-products", "ai-agents"], "entities": ["Perplexity", "Lifehacker", "Model Council", "Perplexity Computer", "Gemini", "GPT", "Claude"], "alternates": {"html": "https://wpnews.pro/news/perplexity-users-should-know-10-time-saving-hacks", "markdown": "https://wpnews.pro/news/perplexity-users-should-know-10-time-saving-hacks.md", "text": "https://wpnews.pro/news/perplexity-users-should-know-10-time-saving-hacks.txt", "jsonld": "https://wpnews.pro/news/perplexity-users-should-know-10-time-saving-hacks.jsonld"}}