Your customers are changing slower than the models
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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
Agent swarms and the new model economics
by Wilson Lin (17 mins)
Coordination is the real cost: On the same task, the old swarm sprawled to 54 crates and generated 70,000 merge conflicts before it had to be paused. The redesigned one settled on nine crates early and logged under 1,000 in four hours.
Not every step needs a frontier model: Opus 4.8 planning with Composer 2.5 doing the work came to $1,339. GPT-5.5 in both roles came to $10,565. Very few moments in a large task genuinely require the most expensive intelligence.
Less code, same result: Both swarms passed the same test suite for a SQLite implementation. The old one needed 64,305 lines of engine code. The new one needed 9,908.
How to Apply Tiny Experiments: A Field Guide to Curiosity-Driven Learning
by Glasp (12 mins)
A PACT replaces the goal: Instead of “get 1,000 subscribers,” you commit to “I will publish one short essay every week for eight weeks.” Purposeful, Actionable, Continuous, Trackable, and entirely inside your control.
Outcomes become data, not verdicts: A missed goal arrives labeled as failure. A finished experiment just produces findings, and that reframe lowers the stakes enough that you actually start the next one.
Plus Minus Next: What went well, what drained you, what you will try next. Run weekly, this is what turns a string of experiments into a direction instead of a random walk.
This is AGI: Sequoia AI Ascent 2026 Keynote
by Sequoia Capital (32 mins)
A revolution in computation, not communication: The internet, the cloud, and mobile were all about how information gets distributed. AI is the first wave about how information gets processed, and that is why it behaves differently from every platform shift before it.
Build toward your customers, not toward the capabilities: The counterintuitive part of their MAD framework (Moats, Affordance, Diffusion). New model capabilities arrive constantly and what you build on them may be irrelevant tomorrow. Your customers change far more slowly, so wrapping yourself around them is the more durable moat.
The diffusion gap is the opportunity: Capabilities spread into the market far slower than they are created, and every day the frontier models move faster than the average Fortune 500, that gap widens. That gap is where application-layer companies get built.
📣 Community Updates
🟦 75,000 Books and 80,000 Posts:
The community has now brought over 75,000 Kindle books into Glasp and published more than 80,000 Posts. Highlights are where reading starts, and Posts are where it turns into something worth sharing. Import your books here.
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🟥 Turn Your Highlights Into Flashcards:
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🟩 Automate Glasp With Zapier:
Glasp on Zapier now covers four triggers and two actions: New Bookmark, New Document, New Highlight, New Summary, plus Create Bookmark and Create Highlight. Log every highlight to a spreadsheet, file summaries into Notion as they appear, or push links in from wherever you find them, with no code. Browse the workflows here. If you would rather build directly, the API docs are here.
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Kei and Kazuki
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One idea that really stood out to me was: your customers are changing much more slowly than the models.
It's easy to get caught up in every new model release, but lasting products are built by deeply understanding customer problems, not by chasing the latest capabilities. Models will keep improving and becoming more accessible. Customer trust and insight take much longer to earn.
My favorite takeaway was: "Build toward your customers, not toward the capabilities."
What resonated with you the most?
The number that stuck with me from the Cursor piece: same task, same passing test suite, $1,339 with Opus 4.8 planning and Composer 2.5 doing the work, against $10,565 with GPT-5.5 doing both roles. Nearly 8x, for the same result. Very few moments in a large task actually need the most expensive model, and most of us are still paying as though they all do.
The Sequoia keynote arrives at a similar place from the other direction. Capabilities move weekly, your customers do not. Wrapping yourself around the customer is the slower, duller, more durable bet.
And an easy one to answer: of the 8 places you can now export highlights to (Notion, Obsidian, Readwise, Zotero, Tana, Workflowy, Roam, Anki), which one do you actually live in? It genuinely decides where the next round of work goes.
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