Your AI assistant is no longer just for answering questions; it’s a full-blown project team working for you 24/7.
I was just thinking about how much time goes into manually pulling data, creating charts, and formatting a simple go-to-market strategy report. It’s tedious work that can take hours or even days.
Then, I stumbled upon a post from this LinkedIn creator that shows how Perplexity’s Labs feature can automate almost the entire process!
I was absolutely blown away because the post’s author describes Labs not as a simple feature, but as a “smart intern” that builds complete projects from a single prompt. The creator demonstrated it by building out a go-to-market strategy, which is a perfect example of a complex, multi-step task.
This isn’t just about text answers. We’re talking about an AI that uses code, live web browsing, and data visualization to assemble something truly rich and ready to present.
🤖 What Makes Labs So Powerful?
The innovator behind the post broke down exactly why this is so different from a standard AI chat.
- 📌 It’s a Project Builder: Labs is designed to build entire projects from the ground up. You don’t ask it a question; you give it an assignment, like “Create a market analysis report for electric bikes in Europe.”
- 📌 It’s a Multi-Tool: The system automatically combines different tools, like browsing for current market data, using code to generate charts, and designing a clean layout, to produce a final, polished document.
- 📌 It’s a Productivity Engine: This expands Perplexity from a research assistant into a genuine productivity tool. The expert points out how it automates tasks that would normally require multiple steps and different software.
⚙️ How to Activate Your AI Intern
Getting it running is surprisingly simple. The person who shared it laid out these quick steps:
- Head over to Perplexity.ai.
- Click the little bulb icon inside the prompt box to enable Labs.
- Write a detailed prompt for the report or dashboard you need.
- Let the AI work its magic and prepare the full report.
- Review the output and use follow-up prompts to ask for changes or refinements.
💡 Pro Tips for Best Results
Of course, it’s not magic, and you have to know how to use it right. The original poster shared some awesome do’s and don’ts, and these really stood out to me:
- ✅ Be Super Clear: Give the AI as much context and as many constraints as possible. The better your instructions, the better the final report will be.
- ✅ Verify Everything: The expert warns that Labs can still hallucinate data or visuals. Always double-check the sources and figures it provides before sharing the report.
- ❌ Don’t Share Private Info: This is critical. Treat it like any public AI tool and avoid inputting sensitive company data or personal information.
- ❌ Iterate, Don’t Expect Perfection: The first draft might not be perfect. The mind behind it suggests using small, iterative tweaks to guide the AI toward the ideal final product.
This is a massive step up from basic AI assistance. The original post includes a full carousel breaking this down with even more visuals and examples. You’ve got to see it for yourself, so go check out the full post!