This product was not featured by Product Hunt yet.
It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Product comments vs the next 3
Product upvote speed vs the next 3
Product upvotes and comments
Product vs the next 3
AI Delivery Spec
The product-side SDD framework for AI-native ToB teams
AI coding agents write code fast — but PRDs still miss acceptance criteria, prototypes can't be tested, and dev handoff is chaos. AI Delivery Spec fixes this with a tiered spec framework (L0-L3) that bridges product, engineering, and AI agents into one delivery pipeline.
Top comment
Hey Product Hunt! 👋 I'm franklinxkk, a ToB AI product manager based in China. Why I built this: AI coding agents (Claude Code, Codex, Cursor) write code insanely fast. But product delivery is still chaos: - PRDs missing acceptance criteria - Prototypes that can't be tested - Dev handoff that's ambiguous - AI features without runtime governance After 7+ years shipping ToB SaaS and seeing the same problems across CRM, traffic safety, education IT, and healthcare IT projects, I realized: the bottleneck isn't coding speed — it's specification quality. What makes AI Delivery Spec different: | Problem | AI Delivery Spec | |---------|-----------------| | Every feature gets the same template | L0–L3 tier system adapts to complexity | | Prototype ≠ testable | Built-in prototype testability rules | | AI features lack guardrails | AI runtime contract, human gates, rollback | | Coding agents guess business rules | DDD handoff + ac_structured YAML contracts | | Generic skills don't know your domain | 4 replaceable domain modules (CRM, traffic safety, education, healthcare) | Quick start (under 5 minutes): git clone https://github.com/franklinxkk/a... Then tell your AI tool: "Use AI Delivery Spec. Mode=Lite, Tier=L1. Write a light PRD for [your feature]." Works with: Claude Code, Cursor, Codex, Copilot, OpenClaw, Gemini — any AI that reads Markdown. Complementary with GitHub Spec-Kit: spec-kit handles spec→code, AI Delivery Spec handles requirement→spec+prototype. I'd love feedback from: - Product managers shipping ToB/ToG products - Tech leads managing multi-team delivery - Teams adopting coding agents in production Ask me anything! 🙌 🔗 GitHub: https://github.com/franklinxkk/a... 📄 License: Apache 2.0 ⭐ v4.6.2
About AI Delivery Spec on Product Hunt
“The product-side SDD framework for AI-native ToB teams”
AI Delivery Spec was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #15 on the daily leaderboard. AI coding agents write code fast — but PRDs still miss acceptance criteria, prototypes can't be tested, and dev handoff is chaos. AI Delivery Spec fixes this with a tiered spec framework (L0-L3) that bridges product, engineering, and AI agents into one delivery pipeline.
On the analytics side, AI Delivery Spec competes within GitHub — topics that collectively have 41.3k followers on Product Hunt. The dashboard above tracks how AI Delivery Spec performed against the three products that launched closest to it on the same day.
Who hunted AI Delivery Spec?
AI Delivery Spec was hunted by franklin lee. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of AI Delivery Spec including community comment highlights and product details, visit the product overview.