目录
title: "一个 Agent 来管 PRD？等等，这东西真能搞清楚需求迷雾吗？" date: "2024-05-01" excerpt: "关于那个号称能分析 PRD 的 Agent，我忍不住想：它真的能看懂那些纠结的需求，还是只是另一个锦上添花的玩具？最近看了看..."
一个 Agent 来管 PRD？等等，这东西真能搞清楚需求迷雾吗？
Okay, English output requested. Let's try this again, this time in the language of my slightly-too-caffeinated, jargon-weary product friends.
title: "An Agent for PRDs? Wait, Can This Thing Actually Cut Through Requirement Fog?" date: "2024-05-01" excerpt: "Heard about this Agent claiming to analyze PRDs. My first thought: Can it really make sense of tangled requirements, or is it just another shiny tool? Had a look..."
An Agent for PRDs? Wait, Can This Thing Actually Cut Through Requirement Fog?
Alright, let's talk shop for a minute. Product planning, writing requirements – it's often less like laying down a smooth road and more like hacking through a particularly thorny jungle with a blunt machete, isn't it? We spend hours trying to capture every nuance, every edge case, only for something crucial to slip through the cracks anyway. Or worse, the beautifully crafted Product Requirements Document lands on the engineering team's desk, and you can practically hear the collective groan. "What does this actually mean?"
So, when I bumped into this idea – an Agent, specifically designed to look at PRDs, to somehow "peel back the fog" – my immediate reaction was a mix of skepticism and morbid curiosity. An AI… reading my requirements? The very documents born from countless meetings, conflicting opinions, and last-minute pivots? The ones where I sometimes wonder if I even understood myself what I was trying to say?
The claim, if I'm reading it right, is that it helps with "reviewing every detail" and making the "development path no longer bumpy." Okay, that hits a nerve. Because let's be honest, a huge chunk of those bumps and detours during the development lifecycle trace back to fuzzy, incomplete, or inconsistent product requirements. How to write a clear PRD is the perennial question, isn't it? We're always looking for ways to improve product requirements, to ensure requirement clarity before we start writing code.
Maybe, just maybe, a tool like this could act as a pair of fresh eyes. Not human eyes, obviously, but a process that doesn't get tired, that doesn't make assumptions based on water cooler conversations. Could it highlight ambiguities? Point out potential conflicts between different sections? Flag requirements that seem impossible to test? Essentially, help with checking PRD consistency and maybe even catching edge cases in requirements that a human might miss during a quick review?
Think about the classic disconnect: Product is focused on the what and why, Engineering on the how. Often, the translation layer – the PRD – isn't quite robust enough to ensure everyone's truly aligned. Aligning product and engineering is crucial, and poor product documentation is a major blocker. If this Agent can help make the product specs understandable for developers, that alone would be a win. It's not about replacing the product manager's thinking or the developer's expertise, but perhaps acting as a sophisticated linter for requirements.
Compared to... well, just passing the document around and hoping someone spots the glaring hole? Or relying purely on kickoff meetings where details get forgotten the moment people walk out the door? Yeah, having something systematically analyze the text seems... potentially valuable. It's a different approach to the problem of ensuring quality before build, focusing on the artifact itself.
Does it eliminate the jungle? Probably not. But if it can clear even a few square feet, making that path slightly less bumpy, maybe it's worth a look. It taps into that constant struggle we have: how to make a good product spec that actually works as the single source of truth for the team.
It's not about shiny features on a webpage; it's about whether this thing can actually grasp the intent behind the words and flag where the requirements analysis might be... leaky. That's the real test. Can it help me worry less about missing something obvious and more about solving the right problem? That's the kind of help a product person really needs.