Filter. Remix. Prototype. AI as a thinking partner.

A 6-hour workshop where you turn scattered bookmarks into a publishable trend report . and learn to verify, structure, challenge, and think critically with AI along the way.

Interested? Book a Call

The Problem

You save LinkedIn posts. Bookmark articles. Add videos to watch later. You have ideas but don't know where to start. The knowledge is there, the system to use it isn't.

In this workshop, we turn that scattered pile into a structured, verifiable, publishable trend report and build a system you can keep using.

How It Works

Part 1 · 2 hours

Filter

Collect and process sources. Compare how NotebookLM and Claude handle the same material. Extract claims with exact quotes. Learn 3-Layer Verification to check what's real.

Upload sources to NotebookLM to get summaries and mindmaps
Run the same sources through Insight Extractor for exact quotes, not paraphrases
Practice 3-Layer Verification: Does the source exist? Does it say this? Is it in context?
Learn 4 Hallucination Red Flags: Percentage Tell, Timeline Tell, Scope Tell, Convenience Tell

Part 2 · 2 hours

Remix

Analyze, question, and recontextualize your findings. Classify trends. Check your biases. Play games that build critical thinking.

Structure insights with Discovery Insight: what you saw, what it means, why it matters
Classify findings: Fad vs Trend vs Megatrend using Three Horizons and STEEP
Run Bias Checker on your own analysis: what are you missing?
Play Hallucination Hunter to spot fake claims before they spot you
Play Bad Idea Bingo + 4 Whats: from wild ideas to testable concepts

Part 3 · 2 hours

Prototype

Turn your findings into a shareable trend report and build a system to keep doing this on your own.

Build report structure with Data Storyteller: tension, resolution, transformation
Generate a shareable HTML trend report with confidence ratings
Design your weekly research routine: new sources → extract → analyze
Share your most surprising finding with the group

Spot the Hallucination

5 claims. Some are real, some are fabricated, some are subtly distorted. Can you tell which is which?

According to McKinsey’s 2023 State of AI report, 63% of executives say they don’t fully trust AI-generated content in client deliverables.

A 2024 Stanford study found that teams using AI verification checklists caught 78.3% more errors than teams without any review process.

Buçinca et al. (2021) at Harvard demonstrated that cognitive forcing functions reduced overreliance on incorrect AI recommendations.

The global AI hallucination detection market grew 318% between 2023 and 2025, reaching $4.2 billion by end of 2025.

RAG reduces AI hallucination rates by 71% when properly integrated, according to a 2024 peer-reviewed meta-analysis in Nature Machine Intelligence.

What You Leave With

A publishable trend report you built yourself
6 reusable AI prompt templates for any topic
3-Layer Verification checklist
4 Hallucination Red Flag cards
A weekly research routine template
A tagging system for your knowledge base

Details

Topic

Remote & Hybrid Work Trends 2025-2026

Duration

6 hours (3 parts × 2 hours)

Format

Online, max 12 participants

Tools

Claude, NotebookLM, Motto Workshop Games

Requirements

Claude Pro or Claude Code account, NotebookLM (free)

Price

Coming soon

Try the Games

These are the games you'll play in the workshop. Try them now, no account needed.

Play the Games →

Pelinsu Pelit

Over 10 years across fintech, travel, and productivity. I research by making and learn by teaching. I work across discovery research, usability evaluation, and design thinking facilitation, and increasingly in the overlap between research practice, service design, and AI tooling.

Interested?

Book a call and I'll walk you through the workshop, answer questions, and we'll find a date that works.

Book a Call