AI-native productivity suite for turning ideas into projects with working prototypes
Your personal AI team built openly in episodes
Stage
Not given
Not given
Founded
Not given
Not given
Based in
US
Not given
Pricing model
Paid
Free
Pricing
$20 USD per person per month, plus per-job charges: Chat included; Handoff note $0.25; Workspace upload and storage $0.25; Decision plan $0.75; Single document $0.75; Competitive analysis $1.00; Cluster map $1.00; Idea batch (10 ideas) $1.50; Working preview build $1.50; Strategy analysis $3.00; Doc
Not given
Key features
Wizard: shapes ideas, suggests startup directions, learns user taste
Way: tracks decisions, analyzes outcomes, measures work against North Star
Workspace: organizes files, writes documents from context, builds working preview
Wire: routes team chat, direct messages, and agent notifications in one stream
Whiteboard: shared visual canvas for mapping ideas and shaping plans
World: tracks markets, competitors, and outside changes for informed decisions
Integrates with Grok Bot, Muse, Claude, Codex, and Cursor agents
Connected agents get scoped live stream of project signals and changes
Weekly review emails summarize changes and work needing attention
Project assistant answers questions about open projects
Team of specialized bots that coordinate with each other
EU models and local model support
Data masking layer for personal information
Web browser agent with approval workflow
Custom MCP tool management
Runs locally or on your server
Progressive web app on mobile
Role-based access control per bot
Approval required before actions
Full transparency and auditability
What makes it different
Turn ideas into working prototypes in under five minutes with AI agents
Every decision recorded with its reasoning and context for full traceability
Visual layers for agents similar to design and project management tools
Coordinates work across people, agents, workflows, and automations in one place
Builds live web versions of projects shareable and testable on any device
Built entirely in public on YouTube with all code on GitHub
EU-first model selection and local-only option
Privacy-first design with data masking before model exposure
Specialist bots with least-privilege access instead of single agent
Ask The W
Paibot