Product Introduction
Cleva.io is an AI-powered in-app mentor that provides real-time, voice-based guidance directly within creative software applications like Figma, Photoshop, After Effects, and Blender. It functions as an interactive tutor that analyzes your active workspace—including canvas elements, timeline sequences, layer structures, and node networks—to deliver contextual assistance without requiring external resources. The system operates through a lightweight desktop application that integrates seamlessly with supported creative tools, eliminating the need for browser plugins or disruptive workflow interruptions. Users activate Cleva during their standard creative process to receive immediate, step-by-step coaching tailored to their specific on-screen actions and objectives.
The core value of Cleva.io lies in its ability to transform passive learning into active skill development by embedding education directly within the user's creative environment. It preserves creative momentum by replacing time-consuming searches for tutorials or forum solutions with instantaneous voice-guided instructions that adapt to the user's current project context. This approach enables creators to deepen their software proficiency organically while producing actual work, converting routine tasks into opportunities for mastering advanced techniques like layer masking, color workflow optimization, or 3D node manipulation. Ultimately, Cleva empowers users to achieve professional-grade results independently by building contextual understanding rather than providing automated outputs.
Main Features
Anytime Voice Assistance allows users to verbally ask questions mid-workflow and receive real-time, step-by-step guidance through both auditory instructions and visual cues overlaid on their interface. The AI interprets screen elements such as Figma frames, Photoshop layers, or Blender viewports to diagnose user intent and deliver precise contextual solutions without manual input. This feature dynamically adjusts instruction complexity based on detected skill level, offering beginner-friendly explanations for fundamental operations or advanced shortcuts for experienced users, all while maintaining continuous context awareness of the active project state.
Interactive In-Tool Learning Modules replace passive video tutorials with hands-on, application-embedded exercises that guide users through practical skill development within their actual workspace. These modules generate customized learning paths for tasks like After Effects motion tracking or Illustrator vector manipulation, integrating directly with the host software's UI to highlight relevant tools and menu options during instruction. The system tracks progress through multi-step workflows, provides corrective feedback for missteps, and reinforces concepts through applied repetition, ensuring skills are retained through practical execution rather than theoretical observation.
Multi-Software Intelligence supports deep integration with industry-standard creative applications including Adobe Creative Suite, Figma, Blender, and DaVinci Resolve, maintaining consistent functionality across diverse interfaces and workflows. The AI maintains specialized knowledge bases for each application's unique paradigms—such as node-based compositing in Blender or non-destructive editing in Photoshop—while cross-referencing shared concepts like layer management or keyframe animation. This architecture enables unified command recognition and performance optimization regardless of the active software environment, with future expansion capabilities for additional tools based on user voting and demand.
Problems Solved
Cleva.io eliminates disruptive context switching and workflow fragmentation caused by searching for external help resources during creative work. It directly addresses the inefficiency of alt-tabbing between software and browsers, pausing YouTube tutorials to locate specific steps, or deciphering outdated forum solutions that don't match current software versions. By providing instantaneous in-app guidance, it prevents the loss of creative focus that occurs when solving technical hurdles, reducing task completion time by maintaining uninterrupted engagement with the primary creative objective. This solution is particularly critical for complex, multi-hour workflows where interruptions compound productivity losses exponentially.
The target user group comprises digital creators and designers who regularly use professional creative software but encounter skill gaps that hinder their output quality or efficiency. This includes UI/UX designers learning advanced Figma prototyping, motion graphics artists mastering After Effects expressions, 3D modelers optimizing Blender rendering workflows, and illustrators developing Photoshop painting techniques. Both emerging creators building foundational skills and experienced professionals adapting to software updates benefit from Cleva's contextual coaching, especially those working under tight deadlines where experimentation or external research isn't feasible. The platform specifically serves users who prioritize skill ownership over automated solutions.
Typical use cases include a graphic designer struggling with Photoshop's pen tool who receives real-time correction on anchor point placement while tracing complex shapes, or a video editor needing immediate guidance on Premiere Pro's color grading panel during client revisions. Another scenario involves a Blender user encountering topology issues during character modeling, where Cleva demonstrates edge loop correction techniques directly on their mesh. For learners, common applications involve completing interactive modules about Figma auto-layout during actual interface design projects, converting theoretical knowledge into immediately applicable skills without project interruption.
Unique Advantages
Unlike AI tools that generate content automatically, Cleva.io focuses exclusively on user skill development through guided instruction rather than output creation, preserving artistic ownership and creative growth. It differs from tutorial platforms by embedding learning directly within live projects instead of using isolated practice files, and surpasses chatbot helpers through comprehensive screen analysis that interprets visual context beyond text-based queries. Competitors focusing on automated design generation lack Cleva's pedagogical framework for building transferable expertise, making it uniquely positioned as a mentorship platform rather than a production shortcut.
The screen context interpretation engine represents a significant innovation, enabling the AI to analyze active software interfaces in real-time to identify tools, panels, and user actions for hyper-contextual assistance. Voice interaction capabilities include natural language processing optimized for creative terminology across multiple software domains, allowing conversational queries like "How do I parent these layers without affecting transformations?" with accurate workflow-specific responses. The modular learning system dynamically assembles micro-lessons based on detected skill gaps, creating personalized learning journeys that adapt to individual progress patterns and project requirements.
Competitive advantages include zero setup integration requiring no API connections or complex configurations, with immediate functionality upon launching supported applications. Performance optimization ensures minimal resource consumption during operation, maintaining software responsiveness even during processor-intensive tasks like 3D rendering or video playback. The platform's creator-first philosophy prioritizes pedagogical effectiveness over automation, resulting in higher skill retention rates compared to tutorial alternatives, while its multi-software adaptability provides broader utility than single-application plugins. These factors combine to deliver measurable productivity gains through reduced learning curves and uninterrupted creative flow.
Frequently Asked Questions (FAQ)
Which creative tools does Cleva currently support? Cleva integrates with Figma, Photoshop, Illustrator, After Effects, Premiere Pro, Blender, and DaVinci Resolve, with ongoing expansion based on user voting for additional applications. The system maintains dedicated functionality for each supported software, including interpretation of tool-specific interfaces like Blender's node editor or After Effects' composition timeline. Future support for applications like Cinema 4D or Affinity Designer will be prioritized according to community demand through the voting portal available on our website.
How does Cleva understand what I'm working on during a session? The application uses selective screen analysis focused exclusively on active creative software windows to identify interface elements, tool selections, and project components like layers or nodes. This contextual awareness combines with voice query interpretation to cross-reference your verbal requests with detected on-screen activities, such as matching "how do I animate this logo?" with timeline keyframes visible in After Effects. All processing occurs locally on your device to ensure privacy, with no external data transmission of project content or screen images.
Can Cleva help with advanced techniques beyond basic tool functions? Yes, the platform covers both fundamental operations and professional workflows including Photoshop frequency separation, Figma component variants, Blender geometry nodes, and After Effects expressions. The AI database includes industry-standard methodologies for tasks like color grading workflows, 3D UV unwrapping, or responsive design principles, with complexity scaling automatically based on detected user proficiency. For specialized techniques, users can request custom learning modules through the voice interface to receive targeted guidance on niche skills relevant to their current project requirements.
