The 2nd Phase of Agentic Development
“Wisdom is the daughter of experience.”
― Leonardo da Vinci
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📚 3 Good Recommendations
The 2nd Phase of Agentic Development
by Drew Breunig (4 mins)
From clones to reimaginings. Early agentic projects copied existing software using test suites. The new phase—like Cloudflare’s EmDash (a serverless WordPress successor) and Cheng Lou’s Pretext—rethinks old problems from scratch.
Cheap code enables challengers. Coding agents lower the cost of taking on entrenched software, making it practical to attack incumbents that were previously too risky to compete with.
Agents accelerate battle-testing. New projects can use AI to synthetically test and harden software rapidly, closing the reliability gap with mature tools that took decades to stabilize.
Google’s 20-year secret is now available to every enterprise
by Ashu Garg (7 mins)
Consumer tech’s secret is now accessible to enterprises: Companies like Google and Netflix built trillion-dollar empires by capturing user behavior and feeding it into learning systems. Enterprise software never had this loop because decisions were scattered across meetings, emails, and people’s heads.
AI agents are the key enabler: When humans edit an agent’s proposal (e.g., adjusting a discount due to competitive pressure), tacit expertise becomes a structured, learnable signal—creating the instrumentation layer enterprises never had.
The opportunity is “context graphs” that capture decision reasoning: Incumbents store outcomes but lose the “why.” Winners will capture rationale at decision time, compounding institutional judgment that even frontier AI models can’t replicate.
Bad Analogies
by Packy McCormick (13 mins)
The Amazon analogy is overused. Bezos had a calculated strategy where growth generated cash; WeWork used the same defense but had broken economics. Not every money-losing company is building toward dominance.
AI labs face a key difference: competition. Amazon and Uber emerged from their spending with strategic monopolies. AI labs are all pursuing identical scaling strategies against each other—no clear path to a runaway winner.
Analogies are starting points, not conclusions. The real work is examining why a comparison fits. Whether AI labs become the next Amazon or the next AOL depends on deeper analysis than “they’re losing money too.”
📣 Community Updates
🟨 Pricing Update:
On May 1, 2026, Glasp will update its pricing for the first time since launch. The Pro Plan will move from $12 to $15/mo, and the Unlimited Plan from $30 to $36/mo. Existing subscribers won’t be affected until their next billing cycle. The Free plan remains unchanged. See full details here.
🟦 Relevant Highlights:
Did you know Glasp now surfaces highlights from articles you’ve read in the past that are relevant to what you’re currently viewing? With Relevant Highlights, you can instantly connect new content to your existing knowledge — making every reading session smarter. Try it on any highlight page today.
🟩 PDF Upload Limit Increased:
You can now upload PDF files up to 500MB — giving you more room to save and highlight your most important documents on Glasp.
👉 How to Upload and Highlight Local PDFs on Glasp🟥 New Tutorial: Bulk Download YouTube Transcripts:
We published a new tutorial on how to bulk download YouTube transcripts from your saved videos on Glasp. Instead of copying transcripts one by one, you can export multiple at once — perfect for reviewing, studying, or repurposing your own content. Check the tutorial below.
👉 How to Bulk Download YouTube Transcripts
❤️ Gratitude
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YouTube Summarizer with ChatGPT on FactCheckTool.com
Glasp on CrossLetter
5 Ways to Transcribe A YouTube Video To Text: Fast, Free & Simple on Drost Video’s YouTube
Try using 4 AI tools to summarize YouTube clips into easy-to-read text in just a few seconds. on Peesamac’s YouTube
Top AI Chrome Extensions Every Developer Should Use on ScriptandTools
Glasp on AI Collection
Revolutionize Your Learning with Glasp: The Ultimate Web Highlighter on AI Authority’s YouTube
We hope you enjoyed reading this newsletter!
See you next week ;)
Best,
Kei and Kazuki
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