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We hand-picked 3 good pieces of content to inspire and motivate you now and in the future. Keep track of the insights that resonate with you by highlighting them with Glasp💡
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📚 3 Good Recommendations
996 Just Means You Have No Leverage
by (4 mins)
Summary: The article argues that “996” work culture, working 9am to 9pm, six days a week, reveals a lack of leverage, not dedication. True success comes from creating products, ideas, or systems that work independently of constant effort, not from working the longest hours.
Ideal for: Founders, creators, and professionals who feel pressured to prove their worth through overwork and want to shift toward building leverage through creativity, insight, and scalable value.
Why It’s Worth Your Time: Offers a sharp critique of hustle culture and reframes productivity around leverage, insight, and quality—reminding readers that hours aren’t outcomes, and sustainable success comes from strategy, not exhaustion.
An AI chatbot’s feedback style can alter your brain activity during learning
by Karina Petrova (5 mins)
Summary: The study reveals that an AI chatbot’s feedback style can change both learning outcomes and brain activity. Reflective (metacognitive) feedback enhances knowledge transfer and activates reasoning-related brain regions, while encouraging (affective) feedback boosts memory and emotional engagement.
Ideal for: Educators, instructional designers, and AI developers aiming to create adaptive learning systems that optimize both understanding and motivation by tailoring chatbot feedback styles.
Why It’s Worth Your Time: Demonstrates how aligning chatbot feedback with learning goals, metacognitive for deeper understanding or affective for retention, can improve educational effectiveness and inform the design of next-generation AI tutoring tools.
The ultimate guide to AEO: How to get ChatGPT to recommend your product
by Ethan Smith and (72 mins)
Summary: AEO (answer engine optimization) is about getting your product cited across sources so LLMs pick you in their answers. Unlike classic SEO’s single blue link, LLMs summarize many citations, so you win by being mentioned most—via on-site pages that answer follow-ups and off-site mentions (YouTube, Reddit, affiliates). Startups can win quickly, and LLM traffic often converts far better (e.g., Webflow saw ~6× vs Google search).
Ideal for: Founders, growth/SEO teams, PMMs, and content leads—especially early-stage B2B/consumer products—who want a practical system to get recommended by ChatGPT/Gemini/Perplexity and protect brand visibility as search and chat converge.
Why It’s Worth Your Time: Provides a step-by-step playbook: turn money keywords & support/sales questions into tracked queries (share-of-voice), build topic pages + help-center content for the long tail, earn authentic Reddit participation and YouTube videos, secure affiliate/media mentions, and run test vs. control experiments. Avoid spam and 100% AI-generated pages; aim for information gain and, if desired, allow indexing but block model training in robots.txt.
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🟨 Book Interview with Eliot Peper:
We recently conducted a text-based interview with about his new novel Ensorcelled. In the conversation, he shared how the story grew out of nightly five-minute tales for his son, how concision became his greatest creative challenge, and why he believes forgetting is an essential part of creativity. Read the full interview here.🟦 Hatching Growth Now on LinkedIn:
Our Hatching Growth Newsletter is now available on LinkedIn! If you prefer reading it there, you can subscribe directly on LinkedIn to stay updated with the latest stories and insights from Glasp. Subscribe here.🟥 Glasp Talk with Veronica Saron:
Glasp Talk features intimate interviews with luminaries who reveal their emotions, experiences, and stories. The guest, Veronica Saron, VP of Marketing at RelationalAI and a Forbes 30 Under 30 honoree. Previously, Veronica led marketing at Neeva, helping grow it to over 2 million users, and through its acquisition by Snowflake, and earlier helped turn Pokémon GO into a global phenomenon while at Niantic.
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Kei and Kazuki
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This article comes at the perfect time, as I've been thinking a lot lately about how we can optimize learning pathwais in an increasingly complex world. It truly makes me wonder if leveraging AI for tailored, metacognitive feedback, as described by Karina, is another crucial dimension of the 'leverage' Joan Westenberg spoke of earlier, applying to how we build our intellectual capitel.