Meet Guidy: Your On-Screen AI Assistant (2026)

2026-06-17 · Source: 365 Data Science · Field: Technology & Digital — Software Development & Engineering, Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Fundamental Awareness, quick

Summary

Guidy, an on-screen AI assistant slated for 2026, is introduced as an ultimate teaching software designed to guide users through tasks in any program. It operates by understanding user questions, such as creating a pivot table for revenue by region, and then providing step-by-step instructions. Guidy visually highlights necessary elements on the user's screen, like "Insert on the ribbon" or "pivot table" options, and responds contextually to user actions. This allows it to navigate complex software processes, acting as an indispensable teacher within various applications. The system demonstrates its capability by walking a user through the creation of a pivot table, from opening the setup to selecting fields for rows and values.

Key takeaway

For AI Product Managers evaluating future user assistance tools, Guidy's 2026 concept demonstrates a powerful paradigm shift. You should consider how on-screen, context-aware AI guidance can drastically reduce training overhead and improve user proficiency across complex software. This approach could redefine in-app support, making advanced features accessible to a broader user base and streamlining onboarding processes for your products.

Key insights

Guidy provides context-aware, step-by-step visual guidance for software tasks using an AI assistant.

Principles

• On-screen highlighting enhances guidance.
• Contextual understanding drives next steps.
• AI can teach software navigation.

Method

User asks a question; Guidy provides visual, step-by-step instructions by highlighting UI elements and reacting to user actions to progress the task.

In practice

• Automate software training.
• Simplify complex workflows.
• Onboard new users faster.

Topics

• On-screen AI Assistant
• Step-by-step Guidance
• Software Training
• User Interface Automation
• Contextual AI
• Digital Adoption Platforms

Best for: AI Student, Operations Professional, AI Product Manager

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Editorial summary, takeaway, and curation by AIssential. Original article published by 365 Data Science.