Video Workbuddy Lesson42 Opencode Zengate Free Models is an English video tutorial note from Hooosberg. It keeps the Bilibili lesson link, cleaned-up course structure, prompts, and workflow notes together.

The original Chinese note is tagged with video tutorial, WorkBuddy, OpenCode, Zen-Gate, build note, build note, AI office automation. The goal is not a transcript, but a clearer companion note for people who want slides, prompts, and repeatable steps.

Future course updates can add the episode URL at the top, then summarize the goal, materials, prompts, checks, and reusable workflow.

Lesson approach

This companion note follows the same order as the video: understand the work problem first, prepare the files and rules, run the prompts in sequence, then verify the output before treating it as usable.

The Chinese source lesson covers 如何使用这篇教程笔记, 核心资源网址导航（先收藏备用）, 神器一：OpenCode 终端里隐藏的免费顶级模型宝库, 验证 OpenCode 免费模型, 神器二：Zen-Gate 开源项目，把全网免费资源反代到 WorkBuddy, 最后一步：打开本地后台开关，WorkBuddy 畅享顶级模型, 小白避坑与日常使用心得, 知识点与结果核对, 课后总结. It is designed as a practical workflow note, not a detached summary: the reader should be able to pause the video, complete one step, and return to the next step with evidence of what changed.

How to study with the video

On the first pass, watch for the inputs, constraints, and expected outputs. On the second pass, reproduce the workflow in a separate test folder. Keep source files unchanged and save generated reports, cleaned data, drafts, or exports in the designated output location.

Do not treat an AI response as a final decision. Check whether the task was fully specified, whether uncertain values were labelled, whether the result can be traced back to source material, and whether a human approval is needed before any submission, purchase, application, or external action.

Copy-ready source prompts

The original prompts are kept below in Chinese so that the operational meaning used in the video is not weakened by translation. Replace every sample file name, person, company, amount, rule, and destination with verified information from your own task.

帮我在当前电脑的终端环境中配置并安装 OpenCode（官方网址：https://opencode.ai/ ）。
要求：
1. 自动检测系统环境（macOS / Windows / Linux）并执行正规一键安装脚本；
2. 安装完成后，测试运行 `opencode --version` 确保命令可执行；
3. 告诉我如何在终端输入 `/model` 查看自带的免费模型列表。
请帮我在电脑本地配置并启动这个开源反向代理网关项目：
GitHub 仓库：https://github.com/LAGcomcom/zen-gate
要求：
1. 检查本地环境，完成依赖安装与二进制配置；
2. 启动本地后台服务，确保服务稳定监听在 http://127.0.0.1:8787/ ；
3. 保持后台常驻运行，配置完成后将本地管理面板访问地址告诉我。

Knowledge points and checks

The transferable skill is not a single prompt. It is the ability to turn scattered materials into a repeatable system: inputs have fixed locations, rules are written down, intermediate work is separated from final deliverables, and exceptions are visible instead of silently invented.

Before closing the task, verify four things: the input set is complete; unknown information is marked rather than guessed; the output is saved where the workflow expects it; and a small sample can be checked against the original files. High-impact decisions always remain subject to human review.

Wrap-up

Reuse the structure rather than copying the example blindly: define the objective and boundary, organize files and rules, run the steps in order, verify the result, and keep the workflow for the next similar task.

That is the central lesson behind this WorkBuddy series: AI becomes more reliable when work is expressed as a clear, inspectable process instead of a vague request for a finished answer.