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OJO

Unknown
• Updated Aug 27, 2026, 03:10 PM

OJO is an AI Design Agent Team Workspace, described as the world's first of its kind, that turns ideas into real product design.

Use Cases ▼
01

Designing user interfaces for web and mobile apps

02

Creating landing pages for marketing campaigns

03

Building interactive product prototypes for validation

04

Exploring multiple design concepts quickly

05

Collaborating on design projects within a team workspace

06

Generating research-backed design layouts based on best practices

07

Transitioning from concept to working app without extensive design skills

What Problem It Solves ▼

OJO solves the challenge of accelerating product design by using AI to generate research-backed UI designs, landing pages, and interactive prototypes from simple ideas, reducing manual design effort and speeding up iteration.

Key Features ▼
✓

AI-driven design acceleration

✓

Team workspace for collaboration

✓

Supports multiple design output types (UI, landing pages, prototypes)

✓

Research-backed design suggestions

✓

Global language support

Overview

OJO is an AI Design Agent Team Workspace, described as the world's first of its kind, that turns ideas into real product design. The platform helps users create UI designs, landing pages, and interactive prototypes. It is currently in private beta, with users joining a waitlist to gain access.

Full Description ▼

OJO emphasizes research-backed design outputs, meaning it likely uses AI to align designs with UX/UI best practices. The platform supports multiple languages, including English, Chinese, Japanese, Spanish, Korean, and Traditional Chinese, suggesting an international focus. Users can sign in and engage with the community via Discord and X.

OJO positions itself as a comprehensive design workspace for teams, aiming to reduce the time from concept to working app by automating and assisting design tasks. It is tailored for designers, product managers, and developers who need quick iterative design and prototyping capabilities.

Pros & Cons

Pros

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AI-driven design acceleration

+

Team workspace for collaboration

+

Supports multiple design output types (UI, landing pages, prototypes)

+

Research-backed design suggestions

+

Global language support

Cons

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Private beta with limited access

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Pricing not publicly available

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May require waitlist approval

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Early-stage platform, feature set may evolve

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No self-hosting option

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