HeyJaredAdaline Labs
The newsletter that swaps stale buzzwords for actionable insights. Our research-backed articles, expert commentary, and bold experiments with LLMs serve one purpose: to spark inventive thinking. By Adaline(.ai).
- Indexed issues, last 90 days
- 8
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- Aug 22, 2026
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- Jul 4, 2026
Latest issues
The Rise Of Computer-Using Agent And Sandboxes (opens the original)
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TL;DR: When we hear the word “agent”, the things that come to mind are Codex, Claude Code, Cursor, or any terminal or code-based tools. But things have been changing since the introduction of computer-using agents that work directly on our local machine, navigating screens, opening apps, and completing tasks without us moving a finger. In this blog, we discuss the use case of computer-using agents and how sandboxes make them secure. We will also cover best practices for defining environments for
Tokenmaxxing And Return-On-Tokens (opens the original)
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TL;DR: With an increase in AI adoption in various industries and workflows, the issue of burning a lot of cash on tokens is rising. Tokenmaxing was introduced so we can use AI to its full potential to learn, explore, build, and share our products. But with the introduction of agentic AI, token consumption increased; it uses 1,000 times more tokens than a normal chat would. And some of these outputs are not satisfactory even though the agents may have used a lot of tokens. So it is important to u
How The Product Role Is Moving To Building And Verification (opens the original)
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TL;DR: AI has become so much more capable that it can handle long-horizon planning and execution. Not only that, it has made product execution much faster than ever before. Earlier, product leaders would spend time planning and then coordinating what needs to be done. They would arrange resources and engineers and keep an eye on the economics of the entire product operation. After AI, execution becomes readily available to everyone; the main concern is whether that execution is worth shipping. T
Eval-First Product Design For Frontier AI Products (opens the original)
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TL;DR: AI products developed using frontier AI models surpassed many traditional product requirements, best practices, and norms altogether. These days, products are iterated at lightning speed, resulting in continuous releases. This is all because of LLMs with agentic capabilities that are also being iterated, refined, and released at a faster speed. These agentic LLMs or AI models help develop better, more aligned releases of AI products. As such, evaluating whether these products are being de
What Product Leaders Should Stop Doing Now That AI Can Do It (opens the original)
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TL;DR: For product leaders who have adopted AI, they certainly became busier rather than freer. The argument that this blog presents is elemental. And that is, leverage is not the ability to complete every task faster; it is the discipline of deciding which tasks should no longer consume much of your attention. This blog presents a four-tier framework — Eliminate, Delegate, Accelerate, and Own. This sorts product work by the importance it requires and by how much of it should stay on the product
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