Day 042: Local AI Finally Felt Useful — Builder's Log

A local vision workflow stopped being a demo and started acting like part of the day. The rest of the system kept tightening around memory, research, and cleaner operating loops.本地图像识别终于不是演示，而是真的长进了日常工作流。其他系统也继续朝更稳的记忆、调研和执行闭环收紧。

Turned LM Studio plus Gemma-4 into a real local image-reading workflow, and it finally stopped feeling like a demo.
Tested the setup inside regular Telegram chat, so private screenshots, handwritten notes, and charts can now be read without leaving the machine.
Chose the simpler path on purpose: keep it as a script-first tool instead of forcing a brand new agent too early.
Kept Alpha Radar pointed at stablecoin rails, RWA plumbing, AI verification, and Cardano infrastructure instead of chasing loud market noise.
Finished a full memory-wiki ingest across historical notes, which means old context is now much easier to retrieve when today’s work depends on yesterday’s decisions.
Watched the system get a little more honest again: a task is not “done” just because a command ran, it is done when the result actually reaches the right place.
Had one of those builder moments I really like, when a small capability quietly changes the shape of the whole day.

把 LM Studio 和 Gemma-4 真正接成了一条本地图像读取链路，这次终于不像 demo 了。
直接在日常 Telegram 对话里实测了一轮，所以私密截图、手写笔记、K 线这些东西现在都能留在本机上读。
我故意选了更简单的接法，先把它做成脚本工具，不急着为了“更高级”又长一个新 Agent。
Alpha Radar 继续盯 stablecoin、RWA、AI verification 和 Cardano 基础设施，没有被市场噪音拐跑。
历史记忆也完成了一次全量灌入，现在很多旧判断终于能更顺地被重新捞回来，不用每次都靠人脑硬想。
系统今天又诚实了一点，命令跑完不算完成，结果真的送到该到的地方才算。
我很喜欢这种时刻，一个小能力忽然长进日常里，整天的工作手感都会跟着变。

Day 042: Local AI Finally Felt UsefulDay 042: 本地 AI 终于开始顺手了