TeamMuse.ai is your code-aware AI team that helps plan your product faster and smarter.

Powered By & Integrates With

Claude AI logo - powered by Anthropic GitHub logo - repository integration Git logo - version control integration GitHub Copilot logo - AI coding assistant integration Slack logo - team communication integration Jira logo - project management integration + more

How It Works

Built-in Product, UX, Dev, and QA agents analyze features in minutes…
all before you write a single line of code.

1

Connect Your Code

Your AI team understands your product. Your repo stays private.

Your-App
2

Turn Idea Into Feature Spec

Tell your team what you want to build and watch them discuss it in real-time.

Simplified simulation — Real discussions involve multiple rounds of feedback and deeper analysis.

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Team discussion in progress...
3

Refine Your Feature Spec

Review and edit the AI-generated spec. Answer clarifying questions, adjust requirements, and export a polished implementation plan ready for your developer or AI coding agent.

Feature Editor

Questions

Where should the dark mode toggle live in the UI?

4

Generate Your Implementation Prompt

A prompt optimized for AI coding agents is created with all the pertinent information

I need to implement a light/dark theme toggle feature for our React application.

Requirements:
- Cycle between light, dark, and system mode options
- Persist user preference in localStorage
- Display toggle button in main menu next to user profile
- Support keyboard shortcut (Ctrl/Cmd + D) for quick toggle

User Flows:
User opens Main Menu → Activates theme option → Theme cycles to next option instantly → Preference saved → Icon updates

Edge Cases to Handle:
- localStorage cleared → Fall back to System default and show notification
- System preference changes while app open → Update if in System mode
- User clicks toggle multiple times rapidly → Debounce to prevent flickering

Technical Constraints:
- Must work in Chrome, Firefox, Safari (latest 2 versions)
- Existing project uses React 18, TypeScript, and Tailwind CSS
- Use Tailwind's dark mode class strategy (class-based, not media query)
- Must integrate with existing MainMenu and UserProfile components
- Respect user's prefers-color-scheme setting

Implementation Notes:
- Create a ThemeContext to manage theme state globally (light, dark, system)
- Add 'dark' class to document.documentElement when dark mode active
- Use Tailwind dark: variant for all component styles
- Store theme preference in localStorage with key 'theme-preference'
- Add cycle logic: light → dark → system → light
- Use sun/moon/auto icons to indicate current theme state
- Implement keyboard shortcut listener for Ctrl/Cmd + D
- Add debounce utility (150ms) to prevent rapid toggle flickering
- Show toast notification when falling back to system preference
- Listen to window.matchMedia('prefers-color-scheme: dark') for system changes

Ready to paste into your AI coding assistant

The Result

Clear requirements
Thought-through UX
Implementation plan
Edge cases identified
Realistic time estimate
Test scenarios covered

No more "I wish I'd thought of that before I built it."

The Right Perspectives at the Right Time

Building great software requires thinking through cross-functional perspectives before you code. But getting those perspectives is hard.

Product Manager

  • • Clarifies requirements & scope
  • • Defines success metrics
  • • Asks the hard questions

Designer

  • • Suggests UX flows & patterns
  • • Considers mobile/desktop
  • • References your existing UI

Developer

  • • Reviews your actual codebase
  • • Suggests architecture
  • • Identifies tech constraints

QA Engineer

  • • Spots edge cases
  • • Plans testing strategy
  • • Predicts user confusion

Who is TeamMuse.ai for?

Solo Developers

Get the team you don't have

AI simulates PM, UX, QA perspectives you're missing

Get better results from AI coding agents

Context-rich prompts = cleaner first-pass code from Claude Code/Cursor

Build with confidence, not guesswork

Catch edge cases, UX issues, and architectural problems before you code

Product Managers

Write specs in minutes, not hours

AI team generates comprehensive first drafts—you refine instead of starting from scratch

Know if it's feasible before engineering sees it

Get codebase-aware technical feedback immediately—no more "this won't work" surprises

Show up prepared and credible

Specs that already consider trade-offs and implementation details

Collaborative Teams

Align faster—AI flags what's blocking consensus

AI detects unresolved questions and conflicting assumptions before you ask for sign-off—resolve real blockers, not collect rubber stamps

Resolve debates with codebase insights

AI analyzes your current specs and actual code patterns to recommend a path forward—ground decisions in reality, not opinions

AI catch-up summaries—see what you missed

Get personalized briefings of what changed, who changed it, and why—synthesized from comments and edits

Join the Private Beta

Get access to TeamMuse before public launch and help shape what we build.

Private beta members get:

First access to the platform. Your feedback shapes the product
30% off beta; 15% off 1st year after public launch
Direct support from our team

Pricing Plans

We're still finalizing the details, but here's what we're thinking...



Starter

For public open-source projects

$0 /mo

  • 3 analysis credits/mo
  • Public GitHub repos only
  • Community support
  • Upgrade: +$10/mo to bring your API key for unlimited analyses
Join Waitlist
Recommended

Pro

For solo devs or PMs

$20 /mo

Private Beta: $14/mo

  • 20 analysis credits/mo
  • Private GitHub repos
  • Email support
  • Upgrade: +$10/mo to bring your API key for unlimited analyses
Join Waitlist

Team

For collaborative teams

$25 /seat/mo

  • 20 analysis credits/seat/mo (shared across team)
  • Private GitHub repos
  • Shared workspace
  • Priority support
  • Upgrade: +$10/seat/mo to bring your API key for unlimited analyses
Join Waitlist

Credit usage per AI team analysis varies by request, codebase, and other factors. Average analysis is ~1 credit.

Questions? We've Got Answers.

Stop Guessing. Start Shipping.

Join developers who are tired of building the wrong thing, iterating endlessly, and missing deadlines. Let TeamMuse.ai be your AI product team.

Join Waitlist