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Guides Perplexity published feb 25, 2026
Set up a Perplexity research system that reads through saved articles and bookmarked content, scores each find by usefulness, and logs everything into a Google Sheet. The example topic is OpenClaw, but the same setup works for any tool, trend, or topic you want to track. Once scheduled, the system can run daily and update your sheet automatically.
A Perplexity research pipeline with three connected pieces: a Space with custom instructions, a daily scheduled Task, and a Google Sheet that becomes your master research list.
Add a “User Usefulness Score” column at the end of your sheet so you can rate each find yourself and compare your judgment against the AI recommendation.
Open Comet and go to Spaces > New Space. Name it something specific, like “OpenClaw Research” or whatever topic you’re tracking.
In the custom instructions, tell Perplexity what its job is:
Your job is to read Twitter threads, articles, and GitHub updates about OpenClaw. Rank findings by usefulness, estimate implementation time, estimate cost, and give a recommendation on whether I should use each one. Log everything into my connected Google Sheet.Then connect your Google Sheet: click Add files from cloud > Google Drive, log in with Google, and select your sheet. This gives Perplexity ongoing access to update it.
Pro tip: Let Perplexity choose the column headers for your sheet. It’ll set up columns like Date, Source, Description, Usefulness Score, Implementation Time, Cost Estimate, and Recommendation, and it stays consistent with them going forward.
Go to Scheduled Tasks > New Task. Set it to run daily. Use this prompt:
Find the most interesting new OpenClaw use cases, skills, plugins, and integrations from the last 24 hours. Check Twitter, GitHub, Reddit, and blogs. For each find, tell me:
- What it does
- How much traction it has
- Whether it’s stable or experimental
- Who would benefit most
- Your recommendation on whether I should implement it
Add the results to my Google Sheet.
Under Model Options > Sources, make sure Web and Social are both selected. You could also add Gmail if you want it pulling from developer newsletters.
Each morning, Perplexity runs this automatically and drops the results into your sheet.
Pro tip: When you’re in a thread, toggle on Control Browser at the bottom. This lets Perplexity navigate to your Google Sheet and update it directly instead of just telling you what it found.
This is the part that makes the system useful day to day.
As you’re scrolling Twitter and spot interesting content, such as new skills, workflow ideas, or upgrade guides, bookmark it into a dedicated folder. Call it something like “OpenClaw Guides & Skills” or whatever fits your topic.
When you’re ready, open that bookmarks folder in Comet and tell Perplexity:
Check my Twitter bookmarks and add any bookmarks we don’t have cataloged into our Google Sheet.Perplexity will go through your bookmarks, check them against what’s already in the sheet, and add anything new with scores and recommendations.
This is better than fully automated research because you’re choosing the inputs. Instead of Perplexity dumping random articles on you every day, it processes the content you already flagged as interesting. The AI organizes and scores; you decide what’s worth looking at in the first place.
Pro tip: Add a “User Usefulness Score” column at the end of your sheet. After you read each find, rate it yourself on a scale of 1–5. This keeps you from blindly trusting every AI recommendation and trains your eye for what actually matters.
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