PROMPT RECORD图像记录

"我想开发一款和 https://t.co/ICXDLwNfxh 一样的应用。"然后我就让 agent 去搭建，我开始接受它给出的所有建议。前期我一路点击接受，一直花到 100 美元。后来我开...

AI 图像 vitosmolenski Sun Jul 19 20:52:47 +0000 2026

"I want to build an app just like https://t.co/ICXDLwNfxh." Then I let the agent build, and I just started accepting its suggestions. I accepted everything up to my $100. Then I got curious. How far would this actually go? So I kept accepting. Past $200 I got a little more selective, only greenlighting what looked genuinely useful. I finally stopped at $300.

Next prompt: "Add Clerk auth so many users can have their own time tracking." This was the part that impressed me most. The app had been built single-user, so the agent had real architectural work to do, rearranging everything around multiple users each owning their own isolated data set. It took its time and did it properly.

Last prompt: "Create comprehensive docs for the app." It produced full in-app, searchable documentation that's honestly better than what most funded teams ship.

$439 total. That's it. With what amounted to minimum effort on my part, I ended up with an enterprise-grade product.

The numbers:

3 apps from one shared, type-safe API contract (web, native mobile, API server)
25 API endpoints
276 automated tests (194 API + 82 mobile), all green
35+ features shipped and merged
195 commits, 70,000+ lines of code, in 6 days
~97% of all commits landed in a single 24-hour sprint

What actually got built: Google sign-in, cross-device server-side timers, focus sessions, daily goals with gentle nudges, weekly reports, photo uploads, full account management, and searchable in-app docs. It even executed a complete rebrand mid-flight (TimePulse → TimeBench) touching 200+ references without breaking a single test.

The wildest part to watch: parallel AI task agents working in isolated environments, shipping and merging features simultaneously, while a main agent coordinated, reviewed, and kept everything green.

I always wanted an app like this for myself. So I built it. Meet TimeBench 👇
https://t.co/WUcshDrxTE

This is what happens when you reinvest $100 and trust the agents. @Replit @Franciscocrz @MannyBernabe @raymmar

"我想开发一款和 https://t.co/ICXDLwNfxh 一样的应用。"然后我就让 agent 去搭建，我开始接受它给出的所有建议。前期我一路点击接受，一直花到 100 美元。后来我开始好奇：它到底能走多远？所以我继续接受。过了 200 美元之后我变得更挑剔一些，只放行那些看起来确实有用的东西。最后我在 300 美元这里停了下来。 下一条提示词是："加入 Clerk 鉴权，让多个用户都能拥有自己的时间追踪。"这一步是最让我印象深刻的部分。应用最初是为单用户构建的，所以 agent 真正做了架构层面的工作，把整个系统重新组织，让每个用户都拥有各自独立隔离的数据。它不急不躁，把这件事做得很到位。 最后一条提示词是："为这个应用编写完整的文档。"它产出了一套完整的应用内、可搜索的文档，说真的比大多数拿到融资的...

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中文说明

"我想开发一款和 https://t.co/ICXDLwNfxh 一样的应用。"然后我就让 agent 去搭建，我开始接受它给出的所有建议。前期我一路点击接受，一直花到 100 美元。后来我开始好奇：它到底能走多远？所以我继续接受。过了 200 美元之后我变得更挑剔一些，只放行那些看起来确实有用的东西。最后我在 300 美元这里停了下来。下一条提示词是："加入 Clerk 鉴权，让多个用户都能拥有自己的时间追踪。"这一步是最让我印象深刻的部分。应用最初是为单用户构建的，所以 agent 真正做了架构层面的工作，把整个系统重新组织，让每个用户都拥有各自独立隔离的数据。它不急不躁，把这件事做得很到位。最后一条提示词是："为这个应用编写完整的文档。"它产出了一套完整的应用内、可搜索的文档，说真的比大多数拿到融资的...

原始 Prompt

"I want to build an app just like https://t.co/ICXDLwNfxh." Then I let the agent build, and I just started accepting its suggestions. I accepted everything up to my $100. Then I got curious. How far would this actually go? So I kept accepting. Past $200 I got a little more selective, only greenlighting what looked genuinely useful. I finally stopped at $300.

Next prompt: "Add Clerk auth so many users can have their own time tracking." This was the part that impressed me most. The app had been built single-user, so the agent had real architectural work to do, rearranging everything around multiple users each owning their own isolated data set. It took its time and did it properly.

Last prompt: "Create comprehensive docs for the app." It produced full in-app, searchable documentation that's honestly better than what most funded teams ship.

$439 total. That's it. With what amounted to minimum effort on my part, I ended up with an enterprise-grade product.

The numbers:

3 apps from one shared, type-safe API contract (web, native mobile, API server)
25 API endpoints
276 automated tests (194 API + 82 mobile), all green
35+ features shipped and merged
195 commits, 70,000+ lines of code, in 6 days
~97% of all commits landed in a single 24-hour sprint

What actually got built: Google sign-in, cross-device server-side timers, focus sessions, daily goals with gentle nudges, weekly reports, photo uploads, full account management, and searchable in-app docs. It even executed a complete rebrand mid-flight (TimePulse → TimeBench) touching 200+ references without breaking a single test.

The wildest part to watch: parallel AI task agents working in isolated environments, shipping and merging features simultaneously, while a main agent coordinated, reviewed, and kept everything green.

I always wanted an app like this for myself. So I built it. Meet TimeBench 👇
https://t.co/WUcshDrxTE

This is what happens when you reinvest $100 and trust the agents. @Replit @Franciscocrz @MannyBernabe @raymmar

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