How to use AI Scan to find gaps in your spec before you build
AI Scan PRD review catches missing acceptance criteria, vague data references, and unassigned features before you waste credits on a broken export.
Blog posts on project requirement planning, AI coding tools, and shipping side projects without burning a weekend re-prompting.
AI Scan PRD review catches missing acceptance criteria, vague data references, and unassigned features before you waste credits on a broken export.
Authentication in a vibe-coded app looks fine on day one. Here's what Lovable, Bolt, and Cursor get wrong by default, and the spec lines that fix it.
AGENTS.md and .cursorrules tell your AI coding tool the rules before it writes a line. Here's what goes in each, how they differ, and how a spec feeds them.
Draftlytic's GitHub integration pushes your PRD straight into your repo so your AI coding tool can always read the latest version of your spec.
Data model planning for your app takes 15 minutes up front. Skip it and the schema your AI coding tool invents on day one will cost you weeks of migrations by month two.
The Draftlytic depth slider controls how many questions you're asked, how rich your spec gets, and how many credits it costs. Here's how to pick.