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See, Plan, Snap: Why AI Can Think in Blocks but Can’t Drop Them

Blocks are supposed to make programming easier. That is the whole promise of Scratch: instead of typing syntax, the learner drags colorful blocks, snaps them together, and watches the program run. No semicolons. No import errors. No spiritual damage from invisible whitespace. Very civilized. Now give that same interface to an AI agent. ...

February 13, 2026 · 16 min · Zelina
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Click, Fail, Learn: Why BEPA Might Be the First GUI Agent That Actually Improves

Clicking is easy. Clicking correctly, after the screen has changed, after a pop-up appears, after the previous attempt failed, and after the agent has only fifteen steps before the evaluator gives up — that is where GUI automation stops looking like a demo and starts looking like work. This is the problem behind BEPA, short for Bi-Level Expert-to-Policy Assimilation, introduced in the arXiv paper From Off-Policy to On-Policy: Enhancing GUI Agents via Bi-level Expert-to-Policy Assimilation.1 The paper is about training end-to-end GUI agents, but its practical message is broader: expert workflows are not automatically useful training data. They have to be translated into something the learner can actually perform. ...

January 12, 2026 · 18 min · Zelina
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Memory Over Models: Letting Agents Grow Up Without Retraining

Repetition is where most automation systems quietly embarrass themselves. Ask an AI agent to book a hotel once, and it may inspect the screen, reason through options, click through menus, and eventually finish the task. Ask it to do something similar tomorrow, and many systems perform the same little theatre again: perceive, reason, click, wait, reason, click, apologize, recover. Very intelligent. Very expensive. Slightly absurd. ...

December 20, 2025 · 18 min · Zelina
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Breaking the Glass Desktop: How OpenCUA Makes Computer-Use Agents a Public Asset

TL;DR for operators Computer-use agents are moving from “chatbot with a browser” toward systems that can operate ordinary software: click buttons, edit files, manage settings, use spreadsheets, and navigate multi-step workflows. The obvious assumption is that progress mostly depends on better screen understanding. OpenCUA makes a more useful argument: screen grounding matters, but the hard part is turning messy human computer use into recoverable, inspectable agent behaviour.1 ...

August 13, 2025 · 19 min · Zelina
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From GUI Novice to Digital Native: How SEAgent Teaches Itself Software Autonomously

TL;DR for operators Software automation usually breaks at the interface between “the process is known” and “the application has changed again.” A button moves. A settings panel is renamed. A vendor ships a redesign with the emotional restraint of a toddler near glitter. The usual answer is more labelled demonstrations, more brittle scripts, or more human babysitting. ...

August 7, 2025 · 16 min · Zelina