11 Knowledge Extraction Prompts for Gemini (Google) NotebookLM (Season 1, Episode 8)
Smart Prompts For AI PodcastShow Notes
This episode is the companion podcast to the article containing the copy/paste prompts 👇 What We Cover 1. Setting Up “Tiers of Truth” AI models treat every word you upload with equal weight unless you give them ground rules. If you upload formal board minutes alongside an unedited Slack transcript, the model might mistake a team member’s sarcastic joke for official company policy. We break down how to establish authority levels: * Tier 1: Signed contracts, technical specs, and official minutes. * Tier 2: Client call transcripts and operational notes. * Tier 3: Slack threads and web bookmarks. 2. Why AI Is Bad at Keeping Time Language models do not have an internal clock. To an LLM, the word “Tuesday” is just another floating text token, no different than the word “Apple.” We discuss the prompt I used for a construction client with fifty daily logs, which instantly caught three delayed concrete pours that the project manager had left out of his written summary. 3. The “Cynic Clinic” By default, AI wants to please you. If you show it your business plan, it will tell you that you are a genius. To get real feedback, you have to give the model explicit permission to act like a hostile auditor. We talk about how this prompt caught a massive flaw in my own Q4 plan before I put money behind it. The Smart Prompts for AI Podcast is Listener-Supported. I am genuinely humbled and honored that you are listening to this. Over the last several years, I have worked directly with businesses implementing AI. My mission is simple: share those real experiences with you including the successes, the wins, and the painful failures. To get access to the prompts mentioned and unlock the entire archive(400+ Posts), → Consider becoming a paid subscriber. → 👇 →Why Subscribe? →
4. The Smoothie Trap (Why Summaries Fail) Asking for a summary is like putting fresh ingredients into a blender. You hit pulse, and you get a smooth, generic puree where you cannot taste the individual components. Nuance disappears. Instead of summaries, we talk about generating clear, structured outputs: * Standard Operating Procedures built with direct action words (Click, Type, Verify). * The FAQ from Hell that explicitly marks “Data Missing” whenever the source files leave a gap. * Narrative Briefs that ditch vague bullet points to show real cause and effect. 5. Finding the Real Problem (The Seattle Coffee Shop Story) When we read customer feedback, our brains naturally fixate on the single angriest comment. We talk about how running 100 feedback cards through a thematic clustering prompt helped a local shop owner realize that customers were not leaving because of lukewarm drinks…they were leaving because the background music was too loud for remote work calls. 6. The Confident Liar Warning No prompt is completely immune to errors. I share a cautionary story about an AI that confidently invented an API key citation inside a technical document. We talk about why the human must always stay in the loop to verify sources. Key Moments & Timestamps * 00:00 – The Kitchen Junk Drawer: Why dumping raw files into AI creates confusing results. * 03:10 – 400 PDF Contracts: Finding pandemic clauses without writing a line of code. * 05:20 – Tiers of Truth: How to prevent Slack jokes from becoming company strategy. * 07:50 – The Temporal Blind Spot: Catching project delays by turning text into chronological tables. * 10:45 – The Cynic Clinic: Getting past polite AI to find holes in your strategy. * 12:40 – The Coffee Shop Lesson: Removing emotional bias from 100 customer feedback cards. * 14:30 – The Cake vs. The Smoothie: Why summaries destroy detail. * 16:15 – The FAQ from Hell: Spotting weak points before a client presentation. * 17:30 – Steered Audio Debates: Learning municipal zoning laws while walking the dog. * 22:15 – The Black Box Reality: Checking citations and keeping humans in control. This episode is the companion podcast to the article containing the copy/paste pro
More from Smart Prompts For AI Podcast
If writing the instruction blocks is the part you dread, Smart Prompt Studio turns a plain-words description of the job into a ready-to-paste agent prompt, plus three variations. Five free generations, no card: smartpromptstudio.com/lifetime
The Smart Prompts for AI podcast just released an episode breaking down one of my most requested systems: They took my 7-step workflow for turning a dead newsletter into a growth engine, the same positioning, audience, and systems work I used to do with consulting clients. In this Episode, we start with the brutal math: most newsletters die at forty-two subscribers, and twelve of those are your relatives. Four hours on a post, a thirty percent open rate, twelve readers. Twenty minutes of your life per reader, and zero strangers reached. 👇Read the Full Article & Copy the 7 Prompts👇 https://smartpromptsforai.substack.com/p/why-nobody-is-reading-your-substack If you are publishing great work to an audience of dozens, if your About page reads like a horoscope, or if week three keeps defeating you, this breakdown is built for you. What We Cover in the Episode The hosts dig into why “write great content and the audience finds you” is the fairy tale of the modern internet, and why you have an infrastructure problem, not a writing problem. Here are the primary systems we break down in the show:
👉 Read the Full Companion Article & Copy the 4 Prompts Herehttps://smartpromptsforai.substack.com/p/how-i-use-ai-to-learn-anything-in The Sunday Tab Graveyard Most solo operators respond to an unfamiliar industry by trying to out-read the internet. You build what I call a tab graveyard: dozens of open browser tabs, unread PDFs, and academic overviews that give you zero context on how a business actually makes money. If you bill $150 an hour and spend six hours hunting through forums on your weekend, that is a $900 tax on your own schedule. Worse, you walk into Monday morning feeling more disoriented than when you started. Marcus, a boutique strategy consultant out of Atlanta, told me recently: “I used to spend eight hours studying trade publications before an intro call, only to freeze the second the prospect asked how their vendor pricing compared to market standard.” The problem is never a lack of reading speed. The problem is treating an AI model like a search engine instead of using it as a private research analyst. You do not need to read harder; you need to build the map before you look through the microscope. What We Cover in Episode 50 * The Tab Graveyard Trap: Why speed-reading whitepapers burns billable time and guarantees you retain nothing useful when the Zoom call goes live. * Map Before Microscope: How to command the AI to lay out the commercial landscape, foundational pillars, and plain-English analogies before touching a single technical detail. * The Context Injection Trick: How stating your precise consulting objective steers the model away from generic corporate summaries and directly into high-leverage commercial answers. (If you want to skip prompt engineering fatigue entirely, grab lifetime access to Smart Prompt Studio (https://www.smartpromptstudio.com/lifetime) to build these prompts in seconds). * Following the Capital: The exact prompts to map market incumbents, venture funding velocity, and the scrappy startups threatening legacy players. * Mining the Fault Lines: How to uncover the internal debates, industry skepticism, and overhyped trends that instantly separate an experienced operator from an outside tourist. * Pre-Mortem Sparring: Setting up the model as a skeptical founder to grill your questions and provide live coaching notes before you ever risk a real conversation. * The Live-Fire Safety Net: A simple two-sentence protocol to handle dense technical jargon during a live client call without missing a beat.
Spend 3 minutes on the Reader Calibration Survey to shape what we build next. Be one of the first 100 to lock in your shot at the $50 gift card.
It is 7:00 AM. The house is dead quiet, your coffee went cold twenty minutes ago, and you are staring down a blinking cursor on an empty screen. Pure operational paralysis. You need marketing copy that brings paying clients through the door, but your working memory is drained before the workday even starts. So you open a chat tab, type a hurried request for a unique brand voice, and watch the screen spit back three paragraphs of generic corporate sludge. It sounds like every other business on earth. I spent years falling into that exact trap. Treating AI like a digital slot machine will never build an operational moat. 👉 Read the Full Companion Article & Copy the 7 Prompts Here https://smartpromptsforai.substack.com/p/7-prompts-to-find-and-market-your Trapped in the Commodity Loop When your business looks and sounds identical to every competitor down the street, you lose the ability to compete on value. The only lever you have left to pull is price. That is a direct race to the bottom. Sarah, an operator running a boutique Pilates studio, hit this exact wall when three franchise studios opened inside a two-mile radius. Her fill rate cratered, clients vanished after two sessions, and in a panic, she began offering cheap $25 drop-in specials. Slashing your prices against a massive franchise is like slapping fresh paint over rotted foundation timbers. It looks busy for a week, but the structural integrity is completely compromised. You cannot ask a machine to invent your soul from scratch. You have to run it like an extraction drill that pulls unvarnished truth out of real customer data. What We Cover in Episode 48 * The Commodity Loop Diagnostic: Why blending into your local market compels you into price wars you cannot win, and how positioning around differentiation protects your margins. * Mining Raw Data from Customer Reviews: How to feed twenty recent reviews into AI to uncover your actual operational strengths without second-guessing customer sentiment. * Competitor Contrast Systems: The operational method to take your rivals’ public 1-star reviews and translate their structural flaws into sharp marketing hooks. * The Anti-Persona Velvet Rope: How to write qualifying statements on your site that intentionally turn away bad-fit clients and drop churn rates fast. * Premium Offer Architecture: Why you must end cheap entry-level pricing and package your core service into a high-ticket, outcome-driven solution. * Preemptive Objection Obliteration: How to map the top five hesitation points holding prospects back and resolve them directly beside your checkout button. * Bypassing Prompt Paralysis: How tools like Smart Prompt Studio (https://www.smartpromptstudio.com/lifetime) turn raw business problems into targeted prompt sequences without adding another monthly subscription to your credit card.