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Good Morning Thorium Valley, welcome back to The Lab.
Today we're putting an AI search engine that promises real citations up against plain old Google to see which one actually gets you better answers.
We're also looking at a completely free research tool that lets you upload your own documents and ask questions about them, and honestly nobody is talking about it enough.
And we're testing a tool that turns regular text into infographics in about 10 seconds to find out if those visuals are as accurate as they look.
Quickly before we dive in — Be honest — how many AI tool accounts have you created and never gone back to?
SEARCH
Perplexity is an AI-powered search engine that gives you direct answers with citations instead of a list of links. Google is Google, but with AI Overviews now appearing at the top of many search results. Both want to be the way you find information. One costs $20 a month. The other is available at no extra cost.
Perplexity's free tier gives you just three "Pro Searches" per day — the multi-step research queries that actually make it useful. The $20/month Pro plan raises that cap and adds access to multiple AI models (currently Claude and GPT) plus premium data sources like PitchBook and Wiley. If you need to fact-check something fast or pull together a research brief with real citations, it's genuinely one of the best tools for the job. One reviewer who tested it for five weeks said a query that would take 45 minutes of manual research took 90 seconds.
Google's AI Overviews aren't as thorough and don't cite sources as cleanly, but they're free, already where you search, and getting better every few months. For the kind of questions most people ask most of the time, they're fine.
The concern is what's happening to Perplexity's paying users. One user on r/perplexity_ai reported getting hit with an upgrade screen when trying to upload files despite paying for a full year of Pro — and support couldn't tell them when service would be restored. Others have complained about opaque model routing and Perplexity ignoring which AI model you've selected. The company also introduced a $200/month Max tier, which feels like it's slowly hollowing out Pro to push heavy users upward. That's a familiar playbook, and not a flattering one.
Worth noting: Perplexity is a research tool, not a drafting tool. Many users find the best workflow is using Perplexity to gather and verify facts, then bringing those into Claude to write the final product.
If you do serious research every day and you need cited, current sources you can actually trust, Perplexity Pro is worth considering. Few other tools do that as well. But if you're a casual searcher who needs an answer a few times a day, Google's AI features cover you at no additional cost and you shouldn't feel bad about that. The people who should be most cautious are the ones already paying for Pro. Recent reports suggest Perplexity has been quietly tightening limits on its paid users, and that's worth watching before you commit to an annual plan.
PRODUCTIVITY
NotebookLM is Google's AI research tool that works with documents you give it. Upload PDFs, paste links, drop in YouTube videos, and it answers questions grounded in that material — not pulled from the open internet. Google calls this "source-grounded AI," and it's the single feature that makes NotebookLM worth paying attention to. Except you don't have to pay anything.
The free tier is remarkably generous:
+ 100 notebooks, 50 sources per notebook, each source up to 500,000 words — roughly 25 million words of context at zero cost
+ 50 chat queries a day and three audio overviews
+ Nine output formats including slide decks, infographics, mind maps, data tables, quizzes, and reports
+ A backend recently upgraded to Gemini 2.5 Pro, plus the ability to build your knowledge base through conversation instead of manually uploading every file
According to Google Trends data, NotebookLM has at times surpassed Gemini itself in search interest.
The people who love it really love it. Productivity YouTuber Jeff Su said he uses it for everything from comparing health insurance plans to breaking down long interviews. Reviewer Ross Stevenson kept individual notebooks running for three months or more to track research topics over time and noted its citation tracking is noticeably better than ChatGPT's. A PubMed study confirmed it's genuinely useful for academic literature reviews, though quality depends entirely on what you upload.
The limitations are worth knowing. It's not a general-purpose writing assistant — it won't draft a blog post or email from scratch, and if you ask for creative work outside your sources, it often declines. The audio overview feature, where two AI hosts discuss your documents like a podcast, is fun exactly once before it feels like a gimmick. And if your notes are messy and unstructured, Claude handles that better — NotebookLM assumes you're feeding it clean, finished documents.
Google's strategy is transparent: NotebookLM Plus isn't sold on its own. It's bundled into Google One AI Premium at $19.99 a month. The free tool is the door. The ecosystem is the destination.
If you regularly work with documents, research, or reports and you're paying for Notion AI or Perplexity Pro to do that work, open NotebookLM before you renew. It won't replace Claude for writing or creative work, and it won't replace your chatbot for general questions. But for reading, comparing, and extracting insights from stuff you've already collected, nothing else does it this well for free. Use it for research and synthesis. Use Claude for everything else.
DESIGN
Napkin AI does one thing and does it fast. You paste text into the editor, click a button, and it generates a visual — flowcharts, timelines, charts, diagrams. No prompting, no templates, no design skills required. The whole thing takes about 10 seconds.
The tool was founded by Pramod Sharma, a former Google Docs PM, with $10 million in seed funding from Accel and CRV. One content strategist at Concurate said she went from spending 20–30 minutes building a single graphic in Canva to getting one from Napkin in about 10 seconds. She tested it for eight months and kept using it.
The free tier gives you 500 AI credits per week, which is enough for most people. Paid plans scale up from there:
+ Plus ($9/month): Removes Napkin branding, unlocks PowerPoint export
+ Pro ($22/month): Adds custom fonts and styles
For context, Canva Pro runs $15/month and does a lot more — but also asks a lot more of you. Napkin isn't competing with Canva on scope. It's competing on speed.
But there's a catch. CNET tested it and came away positive overall, but flagged that some generated graphics were misleading — polished-looking visuals that placed concepts in the wrong categories. TechCrunch was blunter: in their testing, Napkin generated pros and cons that weren't even in the source text. The visuals looked clean enough that most people wouldn't question them.
That's the core tension. Napkin produces graphics that feel credible faster than you can verify whether they actually are. It also can't do data visualization from spreadsheets, has no mobile app, and enterprise branding options are locked behind the paid tiers.
If you write blog posts, make internal decks, or post on LinkedIn and you need a quick visual that looks better than a screenshot of a bullet list, Napkin is worth trying today. The free tier is generous and the speed is real. Just treat every output like a first draft. The graphics look professional enough to fool you into thinking they're accurate, and sometimes they're not. For anything client-facing or data-heavy, you still need a human checking the work. If you want a full design tool, stick with Canva. If you want help turning messy thoughts into polished writing, use Claude. Napkin fills the narrow gap between the two, and for that specific job, few tools are as fast.
EVERYTHING ELSE IN AI
+ GitHub Copilot bills jumped from $29 to $750 overnight after switching to per-word pricing — developers are calling it the "Tokenpocalypse"
+ Hackers hijacked 20,000 Instagram accounts by tricking Meta's AI support chatbot into handing over password resets
+ xAI secretly trained Grok on Claude's outputs for months, kept going through personal accounts after Anthropic cut them off
+ DeepSeek is closing a $7.4 billion funding round backed by Tencent and China's national AI fund
+ Google will pay SpaceX $920 million per month to rent 110,000 Nvidia GPUs from xAI's data centers
+ AI is now the #1 reason for U.S. job cuts in 2026 87,714 layoffs in five months, more than the previous two years combined
+ Reid Hoffman leaves Microsoft's board after a decade to go "founder mode" on an AI drug discovery startup
+ Florida sued OpenAI, becoming the first U.S. state to use the Big Tobacco legal playbook against a chatbot maker
OTHER TOOLS
+ Wispr Flow (sponsored): The new viral voice-to-text AI for iPhone and Mac that actually understands what you're saying every time
+ Superpower (sponsored): The health app that tests your blood and uses AI to tell you what's actually going on with your body before your doctor does
+ Google Meet: Real-time speech translation is now live — join a video call in English while someone else speaks Spanish, and you'll each hear the other in your own language
+ ChatGPT: OpenAI's new Dreaming V3 update lets ChatGPT organize and strengthen its memories of you while you're offline, so it stops forgetting your preferences between conversations
+ GitHub Copilot: GitHub launched a standalone desktop app where you can run multiple AI coding agents side by side, each working on a different task in your project at the same time
+ Kocoro: A free, open-source Mac app that watches your screen, files, and past sessions so your AI assistant actually remembers what you were working on yesterday — all stored locally on your machine, not in the cloud
That's the Lab for this week. If a tool in here saved you time or wasted it, tell us — reply directly. Written by Jason Chen, Advait Prakash, Andrew Hales, and the Thorium Valley crew. Got a tool you want us to review? Reply with the name and we'll put it on the list.
Written by Jason Chen, Advait Prakash, Andrew Hales, and the Thorium Valley crew.
That's all for today's Lab. See you next time.