Your AI-powered
product development
machine
From PRD to production code in 72 hours. The AI Product Manager Agent automates your entire SDLC—no manual handoffs, no coordination delays. Just ship.
Credit card required · 14-day free trial
Works with your favorite AI Coding Agent
Ship features 5x faster and with more accuracy
Automate the entire SDLC and watch your velocity skyrocket
85%
Time Reduction
From PRD to production in 72 hours instead of 6-8 weeks. Eliminate coordination overhead entirely.
100%
Zero Manual Handoffs
AI orchestrates the entire pipeline from requirements to code execution. No more coordination delays.
5x
More Features Shipped
Same headcount, exponentially more output. Ship quarterly roadmaps in weeks.
Complete SDLC automation—PRD to production
The AI Product Manager Agent orchestrates your entire development lifecycle. Generate comprehensive PRDs in 12 minutes, get technical architecture recommendations in 15 minutes, decompose into sprint-ready deliverables in 8 minutes—then watch as AI developers execute through Claude Code and your favorite IDEs.
Task Management App
Prepared by: AI Product Manager • Date: 2024-06-18
Summary
A hyper-polished personal task manager that turns daily to-dos into a neon-lit, game-like experience. Users clear tasks, earn streaks, and receive motivational boosts while enjoying a cyber-sports aesthetic.
Problem
Existing task apps feel sterile and punitive; users abandon them once novelty fades. We need a tool that sustains engagement through positive reinforcement, visual delight, and friction-free flow.
Goals
- 1.Increase daily active usage to 5x per week for ≥60% of registered users within 90 days.
- 2.Achieve task completion rate ≥80% per active user per week.
- 3.Maintain store rating ≥4.7/5 with ≥500 reviews in the first six months.
Success Metrics
User Stories / Features
US-1: Quick Task Capture
As a busy user I want to add a task in <5 seconds so that I don't lose my flow.
US-2: Encouragement System
As a user I want to receive positive feedback so that I feel motivated.
US-3: Game-Style Stats Dashboard
As a user I want to view my productivity stats so that I can improve.
US-4: Accessibility & Theming
As a user with colorblindness I want to toggle a safe palette so that I can distinguish UI states.
Task Management App
PRD • Sprint: Foundation
Context
A React-Native cross-platform mobile app that gamifies personal task management. Core modules: task CRUD, local push reminders, XP/badge engine, share links, theming, accessibility toggles, and telemetry.
User Stories
Architecture
Sprint: Foundation
Planned • 0/9 complete • 9 tasks
To Do
E2E create task flow
Detox test: open app, tap FAB, fill form, submit, verify in list
Unit test TaskService CRUD
Jest + in-memory SQLite to verify create, list, update, delete
Configure CI pipeline
GitHub Actions for lint, typecheck, unit tests
+ 6 more tasks
In Progress
No tasks in this column yet.
Done
Recently completed
PRD OUTLINE
Architecture & Component Health
Interactive System Design with Task Mapping
Components 8 total
Sprint: Foundation
+ 5 more tasks
Sprint: Foundation
Planned • 0/9 complete
A React-Native cross-platform mobile app that gamifies personal task management. Core modules: task CRUD, local push reminders, XP/badge engine, share links, theming, accessibility toggles, and telemetry. All data is stored locally with optional encrypted cloud backup; push notifications use Firebase Cloud Messaging.
1. E2E create task flow
2. Unit test TaskService CRUD
3. Configure CI pipeline
- 1. Add .github/workflows/ci.yml
- 2. Run eslint, prettier, tsc --noEmit, jest --coverage
- 3. Block merge on failure
+ 6 more detailed tasks
Sprint: Foundation
Complete • 9/9 tasks done
E2E create task flow
Detox test: open app, tap FAB, fill form, submit, verify in list
Unit test TaskService CRUD
Jest + in-memory SQLite to verify create, list, update, delete
Configure CI pipeline
GitHub Actions for lint, typecheck, unit tests
+ 6 more completed tasks
Production Ready ✓
All tasks executed successfully via Claude Code
Direct integration with Popular Coding Agents—zero manual handoffs
Through native MCP (Model Context Protocol) integration, the AI Product Manager Agent dispatches granular implementation instructions directly to Claude Code, Cursor, VS Code, and other IDEs. Watch real-time progress, get instant blocker alerts, and coordinate parallel execution streams—all automatically.
Generate MCP Developer Key
Create secure API key for IDE integration
MCP Developer Keys
Manage API keys for MCP bridge
Configure Your IDE
One-click configuration for popular coding agents
MCP Configuration
{
"mcpServers": {
"artificial-outreach": {
"command": "npx",
"args": ["-y", "@ao/mcp-server"],
"env": {
"AO_API_KEY": "dev_••••••••••••••k6cQ"
}
}
}
}Claude Code Picks Up Tasks
MCP server connected • Executing sprint tasks automatically
Production-Ready Artifact
All tasks completed • Ready for deployment
Sprint: Foundation
Complete • 9/9 tasks • 28 minutes
Interactive roadmaps with multi-framework sprint planning
Visualize project health and delivery timelines with interactive Gantt charts. Track sprints, tasks, and blockers across multiple development frameworks—React Native, Next.js, Django, and more. Get instant alerts when projects fall behind schedule and automatic suggestions to get back on track.
PROJECTS
Track the health and planned release for each initiative.
Task Management App
E-commerce Platform
Analytics Dashboard
Task Management App
Behind by 54% relative to plan
Task Management App
Sprint: Foundation • 0/9 tasks • 0% complete
Advanced AI orchestration
meets human expertise
Powered by Claude, GPT-4, and multi-LLM coordination for strategic thinking, technical precision, and flawless execution
Multi-LLM Orchestration
Claude for strategic planning, GPT-4 for technical analysis—best model for each task
MCP Protocol Integration
Native Model Context Protocol support for seamless IDE orchestration and execution
Continuous Learning
Adapts to your team's patterns and improves prioritization accuracy over time
Learn more about AI-powered product development
How AI Agents Transform Product Development
Learn how specialized AI agents automate the SDLC from requirements to code execution.
From Tool Chaos to Intelligent Harmony
Discover how AI orchestration eliminates manual coordination and accelerates delivery.
Calculate Your Velocity Improvement
See how much faster your team could ship with AI Product Manager Agent.
Pricing That Scales With Your Team
Start shipping 5x more features with AI Product Manager automation. Choose the plan that fits your team size and velocity.
Basic
Perfect for individuals
8 complete PRDs with architecture or 10 PRDs or 20 sprint plans with deliverables
Teams
For growing teams
40 complete PRDs with architecture or 50 PRDs or 100 sprint plans with deliverables
Enterprise
For large organizations
120 complete PRDs with architecture or 150 PRDs or 300 sprint plans with deliverables
How Generation Credits Work
Each AI Product Manager generation uses credits based on output complexity
Unused credits roll over for 1 month • Additional credits available for purchase
Need a Custom Plan?
Contact our sales team for custom pricing, volume discounts, or on-premises deployment options.
Talk to SalesFrequently Asked Questions
Everything you need to know about AI Product Manager and end-to-end SDLC automation
AI Product Manager orchestrates the complete product-to-production pipeline: ingests or generates PRDs, creates technical architecture with technology recommendations, decomposes into sprint-ready deliverables, dispatches implementation instructions to AI developers via MCP protocol (Claude Code, Cursor, VSCode), monitors real-time execution progress, surfaces blockers automatically, and coordinates parallel development streams. This eliminates manual handoffs and delivers working code in 72 hours instead of 6-8 weeks.
Through native MCP (Model Context Protocol) integration, AI Product Manager dispatches granular implementation tasks with complete technical specifications directly to Claude Code, Cursor, VSCode, and other IDEs. It monitors real-time progress, receives status updates, detects blockers automatically, and coordinates parallel execution streams. When a blocker surfaces, it escalates to product teams with context and solution options, then adapts execution strategy based on decisions—eliminating 100% of manual developer handoffs.
Our intelligent prioritization engine combines multiple frameworks (RICE, MoSCoW, Kano Model) with machine learning that adapts based on historical success patterns. The system achieves 90% theme identification accuracy and improves feature success rates by 65%. It eliminates subjective guesswork by evaluating features against impact, effort, strategic value, and market timing with objective, data-driven scoring.
Organizations see dramatic velocity improvements: PRD to production in 72 hours vs 6-8 weeks (85% time reduction), 4.7x more features shipped per quarter with same headcount, zero manual developer handoffs, and 14 hours faster blocker detection. The average payback period is 4-6 weeks. Product teams eliminate coordination overhead completely through automated orchestration, achieve 100% execution visibility, and maintain 91% technical feasibility accuracy in architecture recommendations.
By eliminating manual handoffs and automating the entire SDLC pipeline. PRD generation takes 12 minutes, architecture design 15 minutes, sprint planning 8 minutes—then execution orchestration through Claude Code and IDEs runs in parallel with real-time progress tracking. Features that traditionally require 6-8 weeks of coordination now ship in 72 hours. Teams maintain the same headcount while shipping exponentially more because AI handles decomposition, orchestration, and coordination automatically.
AI Product Manager connects via MCP (Model Context Protocol) with popular IDEs like Claude Code, Claude Desktop, Cursor, and VSCode. It integrates with project management tools (Jira, Asana), analytics platforms, CRM systems, customer feedback tools, and communication platforms (Slack, Teams). The system supports API integrations, SSO authentication, and maintains seamless data flow between your existing tech stack.
Getting started takes less than 30 minutes. Sign up for your free trial, connect your preferred IDE via MCP, upload your existing product data (feedback, requirements, analytics), and the AI immediately begins generating insights. No technical expertise required - the system guides you through setup with intelligent onboarding workflows. Your team can start generating PRDs and strategic roadmaps on day one.
Our natural language processing engine transforms interview transcripts, surveys, support tickets, and user feedback into structured insights using sentiment analysis and pattern recognition. The system processes 200+ feedback sources, identifies behavioral patterns, generates detailed personas, creates opportunity maps, and extracts actionable themes 10x faster than manual analysis with 85% accuracy in theme identification.
Yes, AI Product Manager adapts to any product type. For B2B products, it focuses on enterprise requirements, compliance validation, technical architecture, and stakeholder coordination. For B2C products, it emphasizes user experience, engagement metrics, viral growth patterns, and consumer behavior analysis. The system automatically adjusts prioritization frameworks and success metrics based on your product category and business model.
The system generates executive-ready roadmaps with clear rationale and resource allocation, orchestrates collaborative review processes, and maintains shared context across engineering, design, marketing, and business teams. It tracks dependencies, monitors progress, automatically escalates critical path issues, and provides real-time status updates. This results in 85% improved stakeholder engagement and 100% strategic alignment.
Fast-growing SaaS companies, enterprise software providers, and product-led organizations see the greatest impact. Companies with 5-500 person product teams, multiple product lines, or complex stakeholder environments benefit most. Early-stage startups accelerate product-market fit discovery, while established companies optimize resource allocation and improve feature success rates. Any organization drowning in feedback or struggling with roadmap clarity sees immediate value.
AI Product Manager provides senior-level product intelligence at a fraction of the cost. While a senior product manager costs $150K+ annually, AI Product Manager delivers equivalent strategic analysis, PRD generation, and roadmap planning for under $2K/month. It works 24/7, processes data instantly, maintains perfect consistency, and scales infinitely. Use it to amplify existing PMs or provide product intelligence to engineering-led teams.
Yes, we offer a 14-day free trial with full access to all core features. No credit card required for trial signup. You can generate unlimited PRDs, create roadmaps, analyze feedback, and test all integrations. The trial includes onboarding support and access to our knowledge base. Most teams see measurable value within the first week and make purchasing decisions by day 10.
We maintain SOC 2 Type II compliance, GDPR conformity, and enterprise-grade security. All data is encrypted in transit and at rest using AES-256. We offer on-premises deployment, SSO integration, and audit logs. Your product data never trains our models - we use secure, isolated processing. Regular security audits and penetration testing ensure continuous protection. Enterprise plans include dedicated security reviews and compliance documentation.
We provide comprehensive onboarding with dedicated success managers, interactive product tours, video training library, live weekly office hours, and 24/7 chat support. Enterprise customers receive custom training sessions, implementation consulting, and dedicated support channels. Our knowledge base includes best practices, integration guides, and workflow templates. Most teams become proficient within 2-3 days with our guided learning paths.
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