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Figr vs Workmaster

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Figr compared with Workmaster
DetailFigr logo Figr Workmaster
What it doesAI product design agent that learns your product to create UX flows and Figma-ready designs No-code AI platform for creating AI employees, chatbots and automated workflows
StageNot given Not given
FoundedNot given Not given
Based inNot given GB
Pricing modelNot given Freemium
PricingFree plan with 10 monthly credits, 3 canvases, 1 Context Pod, and 200MB storage. Starter: $32/month (billed yearly) or $39/month (billed monthly) for 200 monthly credits, unlimited canvases, 1 full-access seat, 3 Context Pods, and 1GB storage per pod. Max: $124/month (yearly) or $149/month (monthly) Free trial for 7 days with 500 credits included and no credit card required. Professional plans start at $45/month for 2,000 credits, with options for 3,000 ($65/mo), 4,000 ($85/mo), 5,000 ($105/mo), 6,000 ($125/mo), 7,000 ($145/mo), 8,000 ($165/mo), 9,000 ($185/mo), and 10,000 ($205/mo) credits per
Key features
  • Visual Context Graph - a living map of how your product works
  • Context Pod - reusable memory for product context
  • Figma Sync - move work in and out of Figma cleanly
  • Design System Intelligence - designs that respect components and tokens
  • UX Reasoning - thinks through UX before designing
  • Live Product Capture - screen recording analysis
  • AI high-fidelity prototype generation
  • Real-time collaboration with comments
  • Export to Figma, React, and code formats
  • Website chatbots
  • AI email management
  • Lead qualification and booking
  • Document processing
  • WhatsApp integration
  • Computer and browser automation
  • Role-based access control
  • Custom mobile and web apps
  • Audit trail logging
  • Knowledge base and document upload
What makes it different
  • Starts from product context and existing design systems, not generic prompts
  • Understands complex SaaS workflows, permissions, and edge cases
  • Does UX reasoning work before generating designs
  • Outputs that look like your team made them, respecting design systems
  • Credit-based pricing that scales with design effort, not seats
  • Build AI employees through conversation without coding or developers
  • Data never used to train public AI models
  • Live in as little as a day with three simple steps
  • Pay for work done, not seats, with credit-based metering
  • Human control retained for consequential decisions
Community votes00
DR (Domain Rating by Ahrefs)52 +2 (up) since last check14 no change since last check
Trust Flow (Majestic)256
Citation Flow (Majestic)4620
Referring domains (Majestic)319937

4 details filled in for both companies.

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