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Skippr

Brand : Skippr

Starting at

$ 19

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Skippr Pricing & Plans

Plus
  • 500 credits/month
  • Access to all AI experts
  • Visual exploration
  • Live multimodal agent
  • Online and PDF reports
  • MCP Integration
    • Licenses
    • Monthly
Starting at $ 19
Pro
  • 3000 credits/month
  • Access to all AI experts
  • Visual exploration
  • Live multimodal agent
  • Online and PDF reports
  • MCP Integration
  • Priority support
    • Licenses
    • Monthly
Starting at $ 59

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Skippr Features

Core Functionality

  • icon_check Natural Language Processing (NLP) Processes and refines UI copy, messaging clarity, and user prompts using sophisticated language models.
  • icon_check Reasoning and Decision-Making Evaluates complex UX scenarios to provide go/no-go decisions and strategic product direction.
  • icon_check Autonomous Task Management Executes tasks independently, including scheduling and prioritization.

Learning and Adaptation

  • icon_check Machine Learning Utilizes advanced LLMs and proprietary models to analyze visual and textual elements for product critique.
  • icon_check Deep Learning Leverages deep neural networks for multimodal vision processing to 'see' and critique UI/UX designs.
  • icon_check Supervised and Reinforcement Learning Uses fine-tuned models trained on design best practices and expert human feedback to improve critique accuracy.
  • icon_check Contextual Memory Recognizes site-wide patterns and maintains context across multiple screens within a single refinement session.
  • icon_check Long-Term Learning Custom training options allow the AI to learn specific brand rules and internal design systems over time.

Interaction Capabilities

  • icon_check Sentiment Analysis The Content Strategist agent analyzes copy tone and brand voice to ensure messaging aligns with intent.
  • icon_check Multimodal Interaction Supports a 'Head of Design' agent that can see the screen, listen to voice, and respond in real-time.
  • icon_check Behavior Customization Allows teams to set 'Brand Rules' that dictate how the AI agents critique and provide feedback.
  • icon_check Empathetic Responses Design and Content agents provide constructive, human-centric feedback focused on the end-user experience.
  • icon_check Multi-Agent Collaboration Features specialized agents (PM, Designer, etc.) that work together to provide a holistic product review.
  • icon_check User Profiling Builds profiles based on user data to personalize interactions.

Integration Capabilities

  • icon_check Third Party Integrations Supports Model Context Protocol (MCP) to sync with IDEs like Cursor and tools like Figma or Jira.
  • icon_check API Connectivity Offers API access for developers to integrate Finesse’s critique engine into custom internal workflows.
  • icon_check Enterprise Software Integration Connects with enterprise tools like Linear, Jira, and Slack to streamline the product development lifecycle.
  • icon_check Data Analytics Integration Integrates with analytics tools to process and interpret data.
  • icon_check IoT Integration Connects with Internet of Things devices for expanded interaction capabilities.

Performance and Scalability

  • icon_check Real-Time Processing Provides instant critiques and live multimodal feedback as the user browses or builds their application.
  • icon_check Dynamic Scaling Cloud-based infrastructure scales credits and processing power based on the chosen subscription tier.
  • icon_check Offline Functionality Operates without internet connectivity, maintaining essential features.
  • icon_check Database Querying Accesses and retrieves information from databases efficiently.
  • icon_check Load Balancing Distributes workloads evenly across resources to maintain performance.

Advanced Features

  • icon_check Workflow Automation Integrates with tools like Jira and Linear to automatically turn AI feedback into actionable development tickets.
  • icon_check Complex Scenario Handling Specialized agents (PM, Designer, A11y) collaborate to solve multi-dimensional product challenges.
  • icon_check Autonomous Problem Solving Identifies issues and implements solutions without human intervention.
  • icon_check Knowledge Graphs Utilizes interconnected data to enhance understanding and reasoning.
  • icon_check Simulation and Forecasting Predicts future trends and outcomes based on current data.

Security and Compliance

  • icon_check Audit Trail Records review history and report versions to track product refinement and feedback iterations over time.
  • icon_check Encryption Employs industry-standard security protocols to protect user data and synced workspace content.
  • icon_check Data Privacy Built with enterprise security in mind, including SSO/SAML support and GDPR/CCPA compliance checks.
  • icon_check Role-Based Access Control (RBAC) Enterprise plans allow administrators to manage team permissions and custom brand rule access levels.
  • icon_check Regulatory Adherence Includes an Accessibility Lead agent to verify compliance with WCAG, GDPR, and CCPA standards.
  • icon_check Bias Mitigation Uses structured AI personae to ensure objective feedback based on industry standards rather than subjective bias.

Analytics and Reporting

  • icon_check Workflow Insights Offers reports and analytics on product quality trends and refinement progress across team workspaces.
  • icon_check Error Reporting Automatically identifies and highlights UI bugs, spacing errors, and accessibility gaps.
  • icon_check Feedback Collection Aggregates feedback from multiple AI experts into shareable reports for team review.
  • icon_check Custom Reporting Generates tailored PDF or web-based reports specifically for PMs, Designers, or Accessibility teams.
  • icon_check Interaction Insights Analyzes user flows and interactive elements to provide feedback on usability and friction.
  • icon_check Predictive Analytics Forecasts future trends based on historical data.
  • icon_check Performance Metrics Tracks key performance indicators to assess effectiveness.

Maintenance and Support

  • icon_check User Feedback Loop Facilitates a loop by sending AI critiques to coding agents and accepting human refinements.
  • icon_check Iterative Updates Designed for constant use during the build phase to allow for rapid, iterative product improvements.
  • icon_check Diagnostics and Debugging Identifies visual and functional errors in the UI/UX to assist developers in debugging the experience.
  • icon_check Self Monitoring Continuously assesses system health to detect and address issues proactively.

Skippr Specifications

  • Supported Platforms :
  • Device:
  • Deployment :
  • Suitable For :
  • Business Specific:
  • Business Size:
  • Customer Support:
  • Training:
  • Language:
  • AI Features:
  • Ubuntu Windows MacOS Linux
  • Desktop
  • Web-Based
  • All Industries
  • All Businesses
  • Individual, Small Business, Startups, Medium Business, Enterprises, SMBs, SMEs, MSMBs, MSMEs
  • Email, Communities
  • Videos
  • English
  • AI Integrated

Skippr Reviews and Ratings

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Skippr Company Details

Brand Name Skippr
Information We're building AI Agents that reimagine how products are created, refined, and adopted. 10x better products, from first idea to customer love.
Founded Year 2023
Director/Founders Noam Tenne, Sagi Shorrer
Company Size 1-100 Employees
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