SelfJev vs Inspector
Side-by-side comparison of features, pros & cons, pricing, and community votes (2026).
🏆 Inspector leads with 621 upvotes
Jev-compatible self-hosted decisions mode
SelfJev is an open-source, self-hosted decision-making model designed for those seeking customizable AI-powered decision support. Built around a 4B parameter decisions model, it allows users to ask typed questions—such as yes/no, pick one, pick any, or score—to receive calibrated probability outputs. Its unique feature is full self-hosting, giving users control over their data and model tuning, making it especially appealing for privacy-conscious organizations or those with specific data requirements. Additionally, SelfJev seamlessly integrates with Point TypeSafe's SDK by configuring two environment variables, enabling easy deployment within existing systems. The ability to fine-tune the model on user-specific data further enhances its flexibility, making it a powerful tool for tailored decision automation. As an open-source project, it fosters community-driven improvements and customization for diverse AI decision-making needs.
Pros
- Open-source and self-hosted for maximum data privacy and control
- Supports fine-tuning with user data for personalized decision models
- Compatible with Point TypeSafe's SDK for straightforward integration
- Provides calibrated probabilities for more accurate decision outputs
- Lightweight 4B parameter model suitable for various deployment environments
Cons
- Requires technical expertise for setup and maintenance
- Limited user interface features, primarily API/SDK based
- No built-in commercial support or extensive documentation currently
Best for
- • Decision automation within secure enterprise environments
- • Custom AI decision models for specialized industry applications
- • Privacy-sensitive data analysis and decision support
- • Research projects requiring self-hosted AI models
Pricing: Pricing not verified
Figma for Claude Code
Inspector reimagines the design-to-code workflow by integrating visual editing directly with AI-powered code generation. Designed for developers, designers, and product teams, it allows users to click on UI elements within a design interface, make visual adjustments, and have those changes automatically reflected in the underlying codebase. The tool connects seamlessly with popular AI agents like Claude Code, Codex, and Cursor, streamlining the often tedious handoff process between design and development. Its unique approach eliminates the need for manual code edits or back-and-forth communication, enabling rapid prototyping and iteration. By bridging the gap between visual design and code, Inspector enhances productivity and fosters a more collaborative workflow, making it ideal for teams seeking to accelerate their development cycles with AI-powered precision.
Pros
- Intuitive visual interface for code adjustments
- Seamless integration with popular AI coding agents
- Reduces manual coding and design handoff time
- Supports rapid prototyping and iteration
- Streamlines collaboration between designers and developers
Cons
- May have limitations with complex UI components
- Dependent on AI accuracy, which can vary
- Learning curve for users unfamiliar with AI-assisted editing
Best for
- • Quick UI tweaks during product development
- • Design validation and iteration without extensive code changes
- • Bridging the gap between design and development teams
- • Rapid prototyping of new features
Pricing: Likely operates on a freemium model, offering basic features for free with paid plans providing additional integrations and advanced editing capabilities; exact pricing details are not publicly specified.