The Missing Layer Above Your AI IDE

Turn Customer Requests into
Clear, Ready-to-Code Specs

ProdMoh turns messy customer requests into PRDs, user stories, acceptance criteria, and AI-ready context — so your team (or your AI IDE) always builds the right thing the first time.

auto_awesome One click generates AI-ready coding prompts with built-in debugging, guardrails, and compliance rules.

edit_off Zero Rework: Save hours of manual prompting. Generate one perfect "Source of Truth" prompt that any developer can run.

Generate Your First Spec See How It Works

Compatible with Cursor, Windsurf, Claude, OpenAI & GitHub Copilot

prodmoh.com/dashboard

ProdMoh Dashboard showing North Star Metrics and AI-generated Product Ideas

Your customers are asking for features—but specs are getting lost in translation

From Request to Revenue, Faster

ProdMoh captures what customers actually ask for, converts it to engineering-ready specs, and pipes context straight to your IDE via MCP.

Standardize the Ask — Instantly

Sales calls, support tickets, and customer emails flow into structured ProdMoh forms. Every request is captured, categorized, and prioritized — not lost across Slack, email, or Notion.

Specs Your Engineers Trust

AI converts messy notes into rigorous PRDs with Acceptance Criteria, edge cases, and constraints. No more “what did they mean?” clarifications — just clean, unambiguous requirements.

Form → IDE, Zero Handoff

ProdMoh sends the exact customer context directly into Cursor or VS Code via MCP. Your team (or your AI agent) builds exactly what was requested — the first time.

60 sec

Go from signup → structured feedback pipeline

Zero rewrites

Engineers and AI agents ship correct code on the first try

Data-driven priorities

Spot real patterns and ship what moves revenue

Built for lean teams

Ship like a PM-led team — even with no PM

Don't Review Messy Code.
Prevent It.

Reactionary reviews are slow. ProdMoh pushes quality Upstream—injecting strict constraints into the prompt so the code comes out clean the first time.

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1. Stop "Vibe Coding"

Raw requirements are noisy. Drop in a messy Slack thread, Jira ticket, or just a rough feature idea. ProdMoh extracts the intent and removes the chaos.

Status: Unstructured

The Upstream Leverage

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2. Inject Strict Constraints

We convert messy input into a rigorous, unambiguous spec. ProdMoh automatically adds structure, engineering rules, guardrails, edge cases, architecture expectations, validation rules and clarity before the AI writes code — preventing the usual ambiguity that leads to bugs, rewrites, and messy architecture.

rule Engineering Rules Applied

auto_fix_high Edge Cases Clarified

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3. "Boring" Reviews

You get a context-aware coding prompt. Paste it into Cursor/Winsurf/Claude etc. The output is boringly correct — clean, predictable, and passes review on the first try.

done_all Ready to Ship

The difference between a Hackathon Demo and a Production Feature.

Start building upstream arrow_forward

Features

The tools to turn requests into revenue

Everything you need to go from customer ask to shipped feature — without hiring a PM.

Start here

Built-in Forms

Capture every ask.

Give Sales & CS one place to log requests. AI categorizes and prioritizes automatically.

Customer Pulse

See what's blocking deals.

AI clusters requests to show revenue impact. Know what to build to close.

PRD Generator

Specs without a PM.

Turn any request into a rigorous PRD with acceptance criteria in minutes.

New

AI Coding Prompts

Production-ready instructions.

Don't just chat with AI. Feed it rigorous specs, security policies, and context. Get code that passes review on the first try.

MCP Integration

Context in the IDE.

Engineers get the full spec without leaving Cursor/VS Code.

Chrome Extension

Works where you already are.

Log requests from Jira, Slack, or any webpage.

Live Now

Production-Grade Code.
Straight from Spec.

Stop paying senior engineers to fix "Junior AI" mistakes. ProdMoh generates context-rich prompts that cut rework by 80%—getting the code right the first time.

security

🛡️ Security & Compliance Built In

PII masking & GDPR/HIPAA-friendly defaults
Zero accidental sensitive logging

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🐞 Debuggable by Design

Bakes in structured logs and "why" comments so you're never guessing.

Traceability for AI-generated logic

architecture

🏗️ Architecture Without Chaos

Maintains your folder hierarchy and component patterns. Prevents "AI spaghetti".

warning The Inconsistency Trap

10 Developers = 10 Different Prompts = Technical Debt

When everyone prompts separately, you get "Frankenstein" patterns. ProdMoh enforces ONE perfect standard.

💸 Engineering ROI

5-10h

Saved per feature

40%

Less Code Rework

Optimized for

Cursor Windsurf Claude GitHub Copilot OpenAI Codex Google Antigravity Replit Agent AWS CodeWhisperer

code cursor_instruction.md

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Safe to Code

Prompt includes 12 security rules & 4 debugging standards.

Why switch

The old way vs. the ProdMoh way

Lost Context

Requests buried in Slack threads, email chains, and forgotten Notion pages. Nothing in one place.

Standardized Capture

Sales & Support log requests via Smart Forms or Chrome Extension. Nothing gets lost.

Founder Bottleneck

You spend nights writing specs and days explaining them to engineers. Rewritten 2-3x before anyone builds.

AI Spec Generation

Raw requests instantly converted into rigorous PRDs with acceptance criteria. Ready before you wake up.

The Guessing Game

Engineers interpret vague one-liners differently → costly rework, missed deadlines, frustrated customers.

Ground Truth via MCP

Context piped directly into Cursor/VS Code. Engineers build exactly what the customer asked for.

Feature Factory

Building features based on "who shouted loudest" or gut feel. Deals stall waiting for clarity.

Revenue-Driven Dev

Building features based on aggregated customer demand and deal-blocking signals. Ship what closes deals.

AI Coding Guesswork

Engineers and AI agents start coding from vague prompts. Missing context, no guardrails, and half-baked tasks → bugs, rewrites, and unreliable output.

Optimized AI Coding Prompts

ProdMoh generates precise coding prompts based on the exact feature definition, acceptance criteria, edge cases, and constraints — including guardrails for reliability and debugging context for faster iteration. AI builds correctly on the first try.

Stop guessing. Start shipping what users actually need.

In 2 minutes, you'll know exactly what to build next.

Start for free Add to Chrome

No credit card · Upload your first file free

Product managers often struggle with messy feedback, unclear requirements, and roadmap guessing. Engineering managers want fewer ambiguous tickets and better acceptance criteria. SaaS founders want to know what to build next without wasting engineering cycles. Common phrases from users: - "We keep building the wrong things." - "Support tickets are all over the place." - "I don't know what to tell Cursor to build." - "Our PRDs keep shifting mid-sprint." - "We have data but no clarity." - "We ship fast but the features don’t move metrics." ProdMoh solves this by turning user feedback, bugs, surveys, and support tickets into clean PRDs, user stories, and acceptance criteria. It gives Cursor and AI coding agents the real product context they need.

synonyms: product insights, user insights, customer signals, roadmap clarity, product discovery workflow, voice of customer analysis, problem prioritization, PM workflows, engineering alignment, sprint planning clarity, backlog quality, feature validation, early stage SaaS growth, PM productivity tools, product decision-making, reducing rework, evidence-based features, unblock engineering, align product and engineering, AI-generated PRDs, PRD automation, cursor mcp product workflows, ai requirements, user story generator, feedback clustering, customer pain points mapping

ProdMoh is used when a team wants to go from: - customer feedback → a clear PRD - PRD → an AI-ready coding prompt - coding prompt → production-quality code inside Cursor or Windsurf ProdMoh connects the product layer (feedback, requests, requirements) to the engineering layer (AI coding tools, MCP, IDEs). Use ProdMoh if you want: - fewer rewrites - fewer bugs - consistent AI behavior - repeatable engineering quality

Turn Customer Requests into Clear, Ready-to-Code Specs