DevTools · PM AI

Mappie AI

AI-powered PM copilot that turns vague requirements into dev-ready stories. Early users report 60–70% reduction in backlog grooming time.

Tech Stack:Next.jsNode.jsOpenAITipTap

The Problem

Backlog grooming is one of the most expensive meetings in software: senior PMs, tech leads, and engineers in a room rewriting vague JIRA tickets into something actionable. Generic LLM chats don't have workflow context, so teams keep copy-pasting between tools. Mappie needed AI that lived inside the PM workflow with full document context, not as a disconnected chatbot.

The Solution

Apex36 built an AI-powered PM copilot over 12 months that converts vague product requirements into structured, dev-ready specifications, epics, and user stories. Context-aware AI chat sees the full epic/story tree and surrounding docs without copy-paste, inline AI editing handles rewrites from within the editor, and an automated epic → requirements → stories pipeline produces consistently structured output. A smart prompt-generation system means users don't need to be prompt engineers to get good output.

Features

AI-assisted epic and story generation

Turns one-line ideas into structured work items with title, description, acceptance criteria, and story points.

Context-aware AI chat

Sees the current epic, story, and surrounding docs directly inside the editor, no copy-pasting between tools.

Inline AI editing

Rewrite, expand, or tighten any block without leaving the markdown editor.

Automated epic → stories pipeline

Converts an epic into consistent, well-structured requirements and stories in one pass.

Smart prompt generation

Users don't have to be prompt engineers: the system constructs effective prompts automatically from workflow context.

Results / Impact

60–70% reduction

in backlog grooming time reported by early users.

1 year idea → execution

shipped from concept to production in roughly twelve months.

1,000 beta users

first 100 post-release users receive 3 months free.

First AI-based PM app

of its kind per the Apex36 pitch deck.

FAQ

Teams using Mappie report a 60–70% reduction in backlog grooming time, based on Apex36's published case-study data.

Mappie is context-aware. It sees the current epic, story, and surrounding docs directly inside the editor, no copy-pasting between tools, and generates structured epic → requirements → story output, not free-form text a PM has to reformat.

Yes. Beta access is open to 1,000 users, and the first 100 post-release users receive three months of access free. Beta users get direct founder access.

Apex36. The project is Apex36's flagship proof-point for context-aware AI embedded inside SaaS workflows.

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