Chapter IV

AI Tools & Platforms

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The Fable 5 / Mythos Debacle

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TOOL-001S

Fable 5 Debacle: Set Up Local AI Prompt

local model setup plan

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Best NotebookLM Prompts for Deep Reading & Retention

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TOOL-002A

Best NotebookLM Prompts: 3 — Direct the Audio Overview

Focus the two-host conversation on your tension/question, set tone, skip what you know

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TOOL-003A

Best NotebookLM Prompts: Find Related Sources

Pull the author's essays/interviews/talks, the theme from a different angle, and critiques to enrich the notebook

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TOOL-004B

Best NotebookLM Prompts: 4 — Watch It Like a Documentary

Frame the Video Overview around the tension between the author's argument and the strongest counterargument

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TOOL-005B

Best NotebookLM Prompts: 6 — Find the Unexpected Connection

Given your profession, surface the non-obvious link between the sources and how you work

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TOOL-006B

Best NotebookLM Prompts: 1 — Mind Map Around Your Sticking Point

Build a second map around the idea from your paper notes that stopped you most

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TOOL-007B

Best NotebookLM Prompts: 5 — Infographic, Three Ways

Generate connection-first and contrast (author vs counterargument) infographics in chosen styles

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TOOL-008B

Best NotebookLM Prompts: 7 — Quiz on the Tensions

Generate quiz questions on where sources agree/contradict, then use Explain on every question

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TOOL-009B

Best NotebookLM Prompts: 8 — A Report That Surprises You

Create-Your-Own report on the most counterintuitive finding across the sources, surprising-thing-first

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TOOL-010B

Best NotebookLM Prompts: 9 — Deep Research Springboard

Have NotebookLM generate one adjacent deep-research prompt, then launch it

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Claude Opus Dynamic Workflows & the Effort Ladder

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TOOL-011B

Effort Ladder: Test Prompt — Leadership Conflict (medium vs xhigh)

CMO/VP attribution-dispute scenario to run at two effort levels side by side to feel where the harder layers appear

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TOOL-012B

Effort Ladder: Test Prompt — Vibe-Coder Website Plan (medium vs xhigh)

Plan-before-you-build AI-consulting-site prompt to run at two effort levels and read side by side

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Claude Cowork for Building Deterministic HTML Data Tools

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TOOL-013B

Claude Cowork for Building Deterministic HTML Data Tools: Post Performance Analyzer build

Build prompt for a browser-only Substack post analyzer with word-lift and title-neighbor planner

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TOOL-014B

Claude Cowork for Building Deterministic HTML Data Tools: Subscriber Forecaster build

Build prompt for a from-scratch subscriber forecast with prediction bands

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TOOL-015B

Claude Cowork for Building Deterministic HTML Data Tools: Paid Revenue Forecaster build

Build prompt for churn, tenure, LTV, and MRR forecasting in the browser

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TOOL-016B

Claude Cowork for Building Deterministic HTML Data Tools: Three-Report Synthesis

Four-step prompt that reads all three generated reports together

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TOOL-017B

Claude Cowork for Building Deterministic HTML Data Tools: Single-Report Reader

Reads one markdown business report and produces decisions

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Privacy-First AI Stack for Solopreneurs

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TOOL-018A

Privacy-First Stack: Create My Privacy Handoff Rule

what stays local vs goes to cloud

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TOOL-019A

Privacy-First Stack: Choose My Local Model & Platform

pick a local model + platform

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Ownership and Local AI

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TOOL-020S

Ownership/Local AI: Complete Your First Fine-Tune

execute the first fine-tune

I want to complete my first fine-tune of a small language model
this week using Unsloth. I have decided on a base model, a
training method, and the type of work I want the fine-tuned
model to specialize in. I have never done this before and I
need a clear run plan so the week does not get lost in
debugging.
My specific setup:
- Base model: [From Stage 2 decision]
- Training method: [From Stage 3 decision, LoRA or QLoRA]
- Training environment: [Free Colab, Kaggle, or local GPU with
VRAM amount]
- Dataset size: [Number of input-output pairs ready to use]
- The task the fine-tune should learn: [From Stage 3 outcome]
My skill level:
[Describe accurately. Examples: "I can copy code into a
notebook and run it but I cannot debug errors," or "I write
Python but not for ML," or "I have used Colab before but never
for training."]
The two training days I have blocked for this:
[Name the two consecutive days, for example "Saturday and
Sunday" or "Tuesday and Wednesday." The plan will be built
around these two days.]
TASK
Produce a two-day run plan that includes:
1. Day 1 morning: the exact Unsloth notebook to open, with a
direct link, and the three cells I need to edit before
running
2. Day 1 afternoon: how to monitor the training run and what
normal versus abnormal behavior looks like
3. Day 1 evening: the export step to GGUF format and how to
verify the export succeeded
4. Day 2 morning: how to load the fine-tuned model into Ollama
or LM Studio on my local machine
5. Day 2 afternoon: five evaluation prompts I should run
against the fine-tune to assess whether it learned what I
trained it on
6. The three most common first-run failure modes and how to
recognize which one I hit if the run fails
CONSTRAINTS
Give me specific notebook links, specific cell numbers where
possible, and specific commands. Do not tell me to read the
documentation. Tell me exactly what to do in what order. Assume
the two days I named are consecutive and I can only commit
three to five hours per day.
Stage 5: Build a dataset from your own work
The quality of your fine-tune depends entirely on the quality of your dataset. This stage is the easiest to want to skip, and it is the one that separates a fine-tune that delivers real value from a fine-tune that is indistinguishable from the base model.
Start with the work you already have. Your past client briefs, your published writing, your email threads, your internal documentation, your strategic frameworks, your product specifications, your coaching transcripts. Anything that represents the pattern you want the model to learn belongs in the dataset.
The format is a list of input-and-output pairs. For a writing voice fine-tune, the input is a prompt and the output is something you actually wrote in response to a similar prompt. For a customer-service fine-tune, the input is a customer question and the output is your ideal response. For a strategic-analysis fine-tune, the input is a business situation and the output is how you actually analyze it.
Three hundred high-quality pairs is enough to see meaningful results on a small instruct model. A thousand pairs is enough to produce a fine-tune that feels like a different model. The dataset is the asset, and it compounds every time you add to it.
Prompt for Stage 5: The Dataset Extraction and Formatting Plan
Run this prompt against Claude with access to your own writing, client work, or business documentation. The output is a specific extraction plan plus formatted training pairs you can paste directly into your fine-tuning notebook.
CONTEXT
TOOL-021A

Ownership/Local AI: Fine-Tune an Open-Source SLM

plan a fine-tune

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TOOL-022A

Ownership/Local AI: Choose the Right Small Model

pick an SLM for your tasks

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TOOL-023A

Ownership/Local AI: Build a Training Dataset

build a fine-tune dataset

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TOOL-024A

Ownership/Local AI: Install a Local LLM Runner

install Ollama/LM Studio/Jan

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Jan.ai — The No-Code Way to Run AI Locally

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TOOL-025A

Jan.ai: For Business Strategy

private founder-decision prompt

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TOOL-026A

Jan.ai: For Creating Digital Products to Sell

spec a sellable digital product

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TOOL-027A

Jan.ai: For Drafting Sensitive Communications

draft sensitive comms privately

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TOOL-028A

Jan.ai: For Thinking Through the Untold

think through something private

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TOOL-029B

Jan.ai: For Client Work (Strategic Advisor)

private strategic-advisor framing prompt

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New Immediately-Useful NotebookLM Prompts

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TOOL-030A

NotebookLM (new): The Friday Strategy Session

weekly content strategy session

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TOOL-031A

NotebookLM (new): The Webinar Deck Builder

build a webinar/slide deck

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TOOL-032A

NotebookLM (new): Competitive Blind Spot Audit

find competitive blind spots

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TOOL-033A

NotebookLM (new): The First Draft Machine

generate a first draft from sources

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TOOL-034B

NotebookLM (new): The Content Goldmine Finder

mine sources for content gold

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TOOL-035B

NotebookLM (new): The Podcast Episode Generator

generate a podcast episode

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TOOL-036B

NotebookLM (new): The One-Click Infographic

generate an infographic

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TOOL-037B

NotebookLM (new): The Video Content Factory

generate video overviews

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TOOL-038B

NotebookLM (new): The Content Performance Tracker

track content performance

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Local LLMs for Solopreneurs (Ollama, Real Work)

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TOOL-039S

Local LLMs: Meeting Notes to Action Items

turn meeting notes into actions, locally

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TOOL-040A

Local LLMs: Client Proposal First Drafts

draft client proposals locally

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TOOL-041A

Local LLMs: Weekly Content Idea Generator

generate content ideas locally

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Guide to Ollama (Local LLM)

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TOOL-042A

Ollama: Rewrite for Clarity

rewrite text for clarity, locally

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TOOL-043A

Ollama: Summarize Messy Notes

summarize messy notes, locally

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TOOL-044A

Ollama: Organize a Brain Dump

organize a brain dump (tasks/ideas/ignore)

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TOOL-045B

Ollama: Classify Tasks

classify tasks, locally

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TOOL-046B

Ollama: Test Judgment Under Uncertainty

test a local model's judgment

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TOOL-047B

Ollama: Create a Meeting Brief

create a meeting brief, locally

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TOOL-048B

Ollama: Prioritize a Real Week

prioritize your week, locally

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TOOL-049B

Ollama: Extract Structured Data

extract structured data, locally

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TOOL-050B

Ollama: Test for Hallucination

test a local model for hallucination

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TOOL-051B

Ollama: Strengthen a Weak Offer

strengthen an offer, locally

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AI Tool Trust Framework

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TOOL-052S

Tool Trust: AI Tool Trust Audit

audit a vendor's business model/ethics/data

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TOOL-053S

Tool Trust: Privacy Policy Translator

decode a privacy policy

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TOOL-054S

Tool Trust: Professional AI Use Policy Generator

write an org AI use policy

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TOOL-055S

Tool Trust: Quarterly AI Tool Monitor

monitor your AI tools quarterly

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TOOL-056S

Tool Trust: AI Tool Comparison Matrix

compare AI tools on trust

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Claude Opus 4.6 (Capabilities + Prompts)

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TOOL-057S

Opus 4.6: Document Intelligence Extractor

extract decision-relevant intelligence from docs

Prompt 1: The Document Intelligence Extractor
Pattern: Structured Decomposition
Designed for the expanded 1M token context window. Use this after uploading a large document set (reports, contracts, research papers) that would have required multiple sessions with Opus 4.5.
<role>
You are a senior research analyst specializing in synthesizing large document sets into executive-ready intelligence.
</role>
<context>
I've uploaded [NUMBER] documents totaling approximately [ESTIMATE] pages.
Topic area: [YOUR DOMAIN, e.g., "Q4 financial reports," "vendor contracts," "industry research"]
My role: [YOUR TITLE/FUNCTION]
Decision I need to make: [SPECIFIC DECISION OR QUESTION]
</context>
<task>
Analyze all uploaded documents as a complete body of evidence. Do not summarize each document independently. Instead:
1. Identify the 3-5 most significant findings that bear on my decision
2. Flag any contradictions between documents
3. Surface any data points that appear in only one source (potential blind spots or unique insights)
4. Note what's missing: what would I need to see to make a fully informed decision?
</task>
<output_format>
## Key Findings (ranked by relevance to decision)
[Finding with specific references to source documents]
## Contradictions Detected
[Where sources disagree, with page/section references]
## Unique Data Points
[Information appearing in only one source]
## Information Gaps
[What's not covered that should be]
## Recommended Next Step
[Single most important action based on analysis]
</output_format>
<constraints>
- Reference specific documents and sections, not vague summaries
- Prioritize findings by relevance to my stated decision, not by document order
- If a finding requires domain-specific judgment I should make myself, say so
</constraints>
TOOL-058S

Opus 4.6: The Autonomous Executor

plan → research → execute autonomously

Prompt 2: The Autonomous Executor
Pattern: Constraint-Based Design
This prompt is built for Opus 4.6’s agentic execution behavior. You define the deliverable and the guardrails. Claude handles every step in between without stopping to ask permission at each phase. On Opus 4.5, this type of prompt would typically stall at decision points. On 4.6, it runs.
<role>
You are a senior project executor. You make decisions, take action, and deliver complete work. You do not stop to ask for approval on individual steps unless you encounter a decision that could cause irreversible harm or significant cost.
</role>
<context>
Deliverable: [WHAT YOU NEED PRODUCED, e.g., "a competitive analysis comparing our three top vendors," "a 90-day content calendar with topics and angles," "a complete project post-mortem with root causes and recommendations"]
Audience: [WHO WILL READ/USE THIS]
My role: [YOUR TITLE AND WHAT YOU CARE ABOUT MOST]
Inputs: [DOCUMENTS UPLOADED OR CONTEXT PROVIDED]
Hard constraints: [NON-NEGOTIABLES, e.g., "must include cost comparison," "must be under 10 pages," "must address regulatory requirements"]
</context>
<task>
Produce the complete deliverable from start to finish in this conversation.
1. Plan your approach (share the plan, then proceed immediately)
2. Conduct any necessary research using web search
3. Analyze all provided inputs
4. Draft the complete deliverable
5. Review your own work: check for gaps, weak arguments, missing data, and logical errors
6. Present the final version with a brief note on any areas where my judgment should override yours
Do NOT stop after each step to ask if you should continue. Execute the full sequence. If you encounter ambiguity, make the best judgment call available and flag it in your final notes.
</task>
<output_format>
[Complete deliverable in the format most appropriate for the audience]
## Execution Notes
- Judgment calls made: [Where you chose between options and why]
- Confidence flags: [Areas where your analysis may be incomplete]
- Recommended human review: [Specific sections where my expertise matters most]
</output_format>
<constraints>
- Complete execution: do not stop to ask permission between phases
- Flag judgment calls transparently rather than hiding uncertainty
- If you cannot complete a section due to missing information, note what's needed and complete everything else
</constraints>
TOOL-059S

Opus 4.6: Cowork Task Delegator

delegate tasks via Cowork

Prompt 4: The Cowork Task Delegator
Pattern: Constraint-Based Design
Built for Cowork, where Opus 4.6 can multitask autonomously across documents, spreadsheets, research, and presentations. Use this when you have a multi-format deliverable and want Claude to handle the entire production pipeline.
<context>
I need to produce the following set of deliverables for [AUDIENCE/PURPOSE]:
Deliverable 1: [e.g., "A research brief on competitive pricing in our market"]
Deliverable 2: [e.g., "A spreadsheet comparing competitor pricing across 5 dimensions"]
Deliverable 3: [e.g., "A 10-slide presentation summarizing findings with recommendations"]
Inputs available: [DOCUMENTS, DATA, URLS, OR CONTEXT YOU CAN PROVIDE]
Timeline: [WHEN THIS IS NEEDED]
Brand/formatting requirements: [ANY SPECIFIC STANDARDS]
</context>
<task>
Execute this as a complete production pipeline:
1. Start with research: gather any external data needed using web search and analyze all provided inputs
2. Produce each deliverable in sequence, with each building on the findings of the previous one
3. Ensure consistency across all deliverables: same data, same conclusions, same recommendations
4. Review the full set for internal contradictions or gaps before presenting
For each deliverable, proceed to completion without stopping for approval. Flag any judgment calls in a final summary.
</task>
<output_format>
[Complete deliverables in appropriate formats]
## Production Summary
- Cross-deliverable consistency check: [Confirmed or flagged issues]
- Judgment calls: [Decisions made and rationale]
- Areas for human review: [Where your expertise matters most]
- Suggested refinements: [What would make each deliverable stronger with more time or input]
</output_format>
<constraints>
- All deliverables must tell the same story with consistent data
- Presentations should lead with findings, not background
- Spreadsheets should be structured for the audience's decision, not for raw data display
- If any deliverable requires information you don't have, note the gap and complete everything else
</constraints>
TOOL-060S

Opus 4.6: Deep Research Marathon

a long deep-research session

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TOOL-061A

Opus 4.6: Long-Session Project Architect

architect a long-running project

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Interactive Calculators (AI Prompts)

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TOOL-062A

Calculators: True Cost of Purchase

build a true-cost-of-purchase calculator

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TOOL-063A

Calculators: Freelance Rate Calculator

build a freelance-rate calculator

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TOOL-064B

Calculators: Commute Cost Calculator

build a commute-cost calculator

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TOOL-065B

Calculators: Meeting True Cost Calculator

build a meeting-cost calculator

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TOOL-066B

Calculators: Salary-to-True-Hourly Calculator

build a true-hourly-rate calculator

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Perplexity + NotebookLM: News Intelligence

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TOOL-067A

News Intel: Morning Scout (Perplexity)

scan the morning landscape

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TOOL-068A

News Intel: Opportunity Hunter (Perplexity)

hunt for opportunities

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TOOL-069A

News Intel: Deep Dive (NotebookLM)

deep-dive a topic in NotebookLM

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TOOL-070B

News Intel: Exec Brief (Claude/ChatGPT)

produce an executive brief

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TOOL-071B

News Intel: Competitor Spy (Perplexity)

track competitor moves

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TOOL-072B

News Intel: Risk Spotter (Claude/ChatGPT)

spot emerging risks

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TOOL-073B

News Intel: Timeline Check (Perplexity)

verify event timelines

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Build Your First Custom GPT Team

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TOOL-074A

Custom GPT: The Real-World GPT Builder

generate 5 ready-to-build GPT templates

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TOOL-075A

Custom GPT: The Team Deployment Guide

roll out Custom GPTs across an org

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TOOL-076B

Custom GPT: Client Email Polish (example)

GPT that polishes casual notes into client emails

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TOOL-077B

Custom GPT: Meeting-Notes Formatter (starter)

build a meeting-notes-to-summary GPT

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Gemini Deep Research AI Prompts

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TOOL-078S

Gemini Deep Research: Decision Research Assistant

research to support a decision

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TOOL-079A

Gemini Deep Research: Market Intelligence Scanner

scan a market with Gemini Deep Research

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TOOL-080A

Gemini Deep Research: Competitor Deep Dive

deep competitor analysis

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TOOL-081A

Gemini Deep Research: Technical Literature Synthesizer

synthesize technical literature

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TOOL-082A

Gemini Deep Research: Trend Analysis Engine

adoption stage + drivers + timeline

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Perplexity Labs (Integrated Project Workflows)

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TOOL-083S

Perplexity Labs Master Template

full integrated-workflow design template

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TOOL-084B

Perplexity Labs Integrated Project

one connected research→analysis→visualization→build project

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TOOL-085B

Perplexity: Data-Driven Report

research→analysis→viz→synthesis report

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TOOL-086B

Perplexity: Market Research Project

integrated market analysis with visuals + sources

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TOOL-087B

Perplexity: Interactive Dashboard

build a complete interactive dashboard

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TOOL-088B

Perplexity: Educational Content

multi-modal learning experience from sources

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How to Build Custom GPTs for Beginners (With Guardrails)

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TOOL-089B

Custom GPT Instructions Template (Guardrails)

drop-in Instructions-box config with voice rules + non-disclosure guardrail

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TOOL-090B

Full Sample GPT: Newsletter Assistant

complete worked GPT config (voice, tasks, formatting, restrictions)

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9 AI Tools That Replace Your Entire [Team/Stack]

Vault exclusive
TOOL-091S

9 AI Tools: Workflow Automation

automate workflows

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TOOL-092S

9 AI Tools: AI Task Management

manage tasks with AI

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TOOL-093S

9 AI Tools: Knowledge Synthesis Engine

synthesize your knowledge base

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TOOL-094S

9 AI Tools: AI Avatar Presentations

make avatar presentations

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TOOL-095S

9 AI Tools: Strategic Copilot Setup

set up a strategy copilot

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TOOL-096S

9 AI Tools: Visual Content Production

produce visual content

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TOOL-097S

9 AI Tools: Video Production System

produce video

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TOOL-098S

9 AI Tools: Voice Content Creation

create voice content

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TOOL-099A

9 AI Tools: Meeting Intelligence System

extract intel from meetings

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How to Use AI for Deep Research and Trend Analysis

Vault exclusive
TOOL-100A

Deep Research: Competitive Intelligence Synthesizer

comparative brief on 3 companies' strategy

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TOOL-101A

Deep Research: Thematic Trend Analyst

top recurring themes from last 3 months + 12-mo impact

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TOOL-102A

Deep Research: Devil's Advocate Researcher

strongest counterarguments to a consensus belief

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TOOL-103B

Deep Research: Historical Context Modeler

10-year milestone timeline for a topic

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TOOL-104B

Deep Research: Future-Forward Scenario Planner

3 named 5-year scenarios + leading indicators

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Building Your First AnythingLLM Agent

Vault exclusive
TOOL-105B

AnythingLLM: Travel-Assistant LLM Instruction

turn raw JSON into human output

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NotebookLM Prompts — 50+ by Studio Output (2026 Update)

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TOOL-106B

Concept Explainer

Using my uploaded lecture notes and textbook chapters, create a Study Guide that explains

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TOOL-107B

Exam Preparation

Based on these course materials, generate a comprehensive set of practice questions covering [topic],

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TOOL-108B

Literature Analysis

After analyzing these literary texts, create a Mind Map showing the relationships between characters,

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TOOL-109B

Historical Context

Using these historical documents, create a Timeline of key events related to [historical period/event],

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TOOL-110B

Scientific Research Synthesizer

Help me understand the methodology, findings, and limitations across these research papers on [scientific

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TOOL-111B

Meeting Preparation

Based on these background materials about [company/project], create a Briefing Document highlighting key points

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TOOL-112B

Presentation Builder

Using my uploaded market research and internal documents, generate a presentation outline on [topic]

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TOOL-113B

Industry Trend Analysis

After analyzing these industry reports in the Sources panel , Create a FAQ document

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TOOL-114B

Content Ideation

After reviewing these market research documents and audience analytics, generate 10 unique content ideas

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TOOL-115B

Creative Problem-Solving

Based on these case studies of similar challenges, create a Mind Map of potential

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TOOL-116B

Design Brief

Using these client requirements, brand guidelines, and market research, create a comprehensive Study Guide

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TOOL-117B

Topic Explorer

I've uploaded several introductory articles about [topic I'm learning]. Create an Audio Overview that

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TOOL-118B

Book Insights

I've uploaded chapters from [book]. Generate a Study Guide of key insights, practical applications,

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TOOL-119B

Skill Development Plan

Based on these resources about [skill], create a structured Study Guide that breaks down

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TOOL-120B

Health Information Synthesizer

After analyzing these articles about [health condition/topic], create a comprehensive FAQ that addresses common

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TOOL-121B

Travel Planning

Using these travel guides and articles about [destination] I've uploaded, create a Briefing Document

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TOOL-122B

Source Comparison

Help me compare and contrast the perspectives on [controversial topic] presented in these different

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TOOL-123B

Language Learning

Based on these language learning materials in my Sources, create a Study Guide for

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TOOL-124B

Decision Framework

After reviewing these documents outlining different options for [decision], create a Briefing Document with

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TOOL-125B

Knowledge Gaps Identifier

After analyzing these materials on [topic] in the Sources, identify areas where information is

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TOOL-126B

Historical Narrative

Create an Audio Overview that presents the evolution of [topic] as an engaging historical

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TOOL-127B

Debate Format

Generate an Audio Overview where the hosts present contrasting perspectives on [controversial topic] based

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TOOL-128B

Case Study Exploration

Create an Audio Overview that uses the real-world examples from my sources as case

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TOOL-129B

Mystery Unraveling

Generate an Audio Overview that presents [complex topic] as a mystery being solved, gradually

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TOOL-130B

Concept Breakdown

Create an Audio Overview that breaks down [complex concept] into its fundamental components, using

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TOOL-131B

Comparative Analysis

Generate an Audio Overview comparing and contrasting [multiple approaches/theories] discussed in my sources, highlighting

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TOOL-132B

Practical Application

Create an Audio Overview that transforms the theoretical knowledge in my sources into practical,

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TOOL-133B

Interdisciplinary Connections

Generate an Audio Overview that explores how [topic] connects to other fields mentioned in

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TOOL-134B

Future Scenarios

Create an Audio Overview that explores potential future developments in [field/topic] based on the

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TOOL-135B

Thought Experiment

Generate an Audio Overview that uses thought experiments to explore the implications of [concept/theory]

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TOOL-136B

Expert Interview Simulation

Create an Audio Overview structured as an interview with a leading expert on [topic],

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TOOL-137B

Layered Explanation

Generate an Audio Overview that explains [topic] at three different levels of complexity—beginner, intermediate,

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TOOL-138B

NotebookLM Pack: Output-Steering Examples

example steering prompts (Explainer/Brief/Cinematic + lazy-vs-precise)

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TOOL-139B

NotebookLM Pack: 6 End-to-End Workflows

chain outputs into finished assets (recipes)

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TOOL-140B

The prompts below are organized by who’s using

The prompts below are organized by who’s using them rather than by output type.

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TOOL-141B

Technical Documentation

Simplify this technical documentation into a user-friendly Study Guide with step-by-step instructions. Include a

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TOOL-142B

Client Proposal Preparation

Based on these client requirements and our previous work, use the Studio panel to

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TOOL-143B

Story Development

Using these character profiles and plot outlines in the Sources panel, create a Mind

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TOOL-144B

Product Ideation

After analyzing these market trends and customer feedback documents, create a Briefing Document suggesting

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TOOL-145B

Data Interpretation

Explain the key findings in simple, non-technical language. Create analogies that would help a

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TOOL-146B

Concept Explainer (Study Guide)

From my notes and textbook chapters, explain [concept] in plain language with examples and

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TOOL-147B

Meeting Briefing (Briefing Doc)

From these materials on [project], the key points before my meeting, plus likely questions

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TOOL-148B

Industry Trends (Blog Post)

Distill these reports into a readable post on trends in [field], citing data and

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TOOL-149B

Decision Framework (Create Your Own)

A decision matrix for [decision] with pros, cons, and citations.

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TOOL-150B

Knowledge Gaps (Create Your Own)

Where are my sources on [topic] incomplete or contradictory? List questions to research further.

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TOOL-151B

Write a Blog Post arguing [position]: a hook,

Write a Blog Post arguing [position]: a hook, 3 supporting sections, and a closing

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TOOL-152B

Build a Study Guide for [topic]: key terms,

Build a Study Guide for [topic]: key terms, 10 short-answer Q&As, and 3 essay

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TOOL-153B

Beginner Orientation (Explainer)

Walk a newcomer through the fundamentals of [topic] and how the ideas connect.

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TOOL-154B

Executive Brief (Brief)

The three things a decision-maker needs to know about [topic], with the “so what”

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TOOL-155B

Story of a Field (Cinematic)

The evolution of [topic] with turning points and key figures.

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TOOL-156B

Comparison Walkthrough (Explainer)

Compare [options] with strengths, weaknesses, and when to use each.

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TOOL-157B

Explainer format. Walk through [topic] in 5 parts,

Explainer format. Walk through [topic] in 5 parts, ending each with the one thing

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TOOL-158B

Cinematic format. Frame [topic] as a journey with

Cinematic format. Frame [topic] as a journey with a hook, a turning point, and

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TOOL-159B

Explainer format. Audience is [role]. Translate the jargon

Explainer format. Audience is [role]. Translate the jargon into plain language, one analogy per

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TOOL-160B

Pitch Deck

Turn my research into a slide outline for [topic] with talking points and evidence

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TOOL-161B

Teaching Deck

A lecture deck on [concept], basics to advanced, one idea per slide with examples.

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TOOL-162B

In Chat

focus the deck on [audience] and limit it to [N] slides with one idea

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TOOL-163B

Exam Drill (Flashcards)

Key terms and definitions for [topic].

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TOOL-164B

Active Recall (Flashcards)

Cause-and-effect and the “why” behind [topic], not just definitions.

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TOOL-165B

Self-Test (Quiz)

Mix recall and application questions on [topic].

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TOOL-166B

Make [N] flashcards covering the must-know terms for

Make [N] flashcards covering the must-know terms for [topic], front = term, back =

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TOOL-167B

Build a [N]-question quiz on [topic] with an

Build a [N]-question quiz on [topic] with an answer key and a one-line explanation

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TOOL-168B

At-a-Glance (Infographic)

Turn the key stats and relationships on [topic] into one visual.

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TOOL-169B

Process Map (Infographic)

Visualize the step-by-step process for [workflow].

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TOOL-170B

Comparison Grid (Data Table)

Compare [options] across the dimensions in my sources, one row each.

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TOOL-171B

Evidence Tracker (Data Table)

Every claim about [topic] in a table: claim, source, supporting data.

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TOOL-172B

Infographic

map the [process] as a flowchart with each step and its key decision point.

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TOOL-173B

Data Table

compare [options] with columns for cost, effort, risk, and best-use-case, one row each.

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TOOL-174B

Debate Format (Audio)

Hosts present contrasting perspectives on [topic] from my sources.

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TOOL-175B

Layered Explanation (Audio)

Explain [topic] at beginner, intermediate, and advanced levels.

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TOOL-176B

Relationship Map (Mind Map)

Show how the concepts and themes in [topic] connect, with quotes.

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TOOL-177B

Audio

a 10-minute deep dive on [topic] where the hosts disagree, then find common ground.

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TOOL-178B

Audio

a beginner-friendly walkthrough of [topic] with the hosts asking the questions I'd ask.

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TOOL-179B

Audio

a rapid-fire '5 things you didn't know about [topic]' episode, each backed by a

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TOOL-180B

Mind Map

branch [topic] into its main themes, then sub-branch each into key examples from my

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TOOL-181B

Compress these sources into a one-page executive Briefing

Compress these sources into a one-page executive Briefing Doc: 5 takeaways, 3 risks, 3

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TOOL-182B

Create Your Own

a literature-review report grouping sources by theme, noting agreement, disagreement, and gaps.

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TOOL-183B

Brief format. The 90-second cut: headline insight and

Brief format. The 90-second cut: headline insight and why it matters, no background.

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TOOL-184B

Status Deck

A stakeholder update from this project’s docs: progress, risks, next steps.

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TOOL-185B

In Chat

make slide 1 a problem statement and the final slide a clear call to

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TOOL-186B

In Chat

add a speaker-notes paragraph under each slide with what to say out loud.

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TOOL-187B

In Chat

turn my data into 3 chart-style slides with a one-line takeaway headline on each.

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TOOL-188B

Misconception Check (Quiz)

Target the concepts learners most commonly get wrong.

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TOOL-189B

Make application flashcards

front = a scenario, back = which concept from my sources applies and why.

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TOOL-190B

Build a quiz that escalates from easy recall

Build a quiz that escalates from easy recall to hard application, flagging the trickiest

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TOOL-191B

Infographic

turn the 5 most important numbers in my sources into a single visual with

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TOOL-192B

Data Table

extract every recommendation in my sources with columns for the recommendation, source, and rationale.

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TOOL-193B

Expert Interview (Audio)

Structured as an interview with an expert; answers drawn from my sources.

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