Manus AI Adds Image Generation to Its All-in-One Agent Platform

Manus AI has launched a new image generation tool—but unlike typical generators, it's designed to work as part of a broader AI task engine, not as a standalone feature.

The company introduced the update in a post on X, stating:

"Manus doesn’t just generate images. It understands your intent, plans a solution, and knows how to effectively use image generation along with other tools to accomplish your task."

This rollout expands Manus’s position in the AI space as a general-purpose agent capable of autonomous decision-making and execution across complex workflows. Rather than asking users to prompt a single output, Manus is structured to interpret goals, plan a strategy, and decide when and how to use its capabilities—including image creation—to achieve results.

The company says this intent-aware approach opens the door to more complex applications across industries.

Use Cases Go Beyond Static Images

In practice, the tool is aimed at professionals who need visual content embedded within a larger objective. According to a report on Geekflare, Manus can:

• Design full visual marketing campaigns, incorporating brand guidelines and audience targeting.

• Assist interior designers by analyzing floor plans and generating realistic 3D renderings with suggested furniture layouts.

• Support e-commerce development by producing product images with consistent styling or showcasing different variations before anything is physically manufactured.

According to a Medium post about the launch, Manus uses image generation as one step in a longer, multi-skill process. The tool can combine visuals with tasks like content writing, automation, and analysis to complete broader objectives. For example:

• In marketing, Manus might analyze campaign performance, draft new ad copy based on audience insights, and then generate matching visuals to support the revised message.

• In e-commerce, it could write product descriptions, compare competitor offerings, and generate styled product images—all in a single workflow.

• In business settings, Manus might automate repetitive reporting tasks, then create visual summaries or presentations to communicate the results.

This kind of workflow reflects the platform’s core approach: treating image generation not as a prompt-and-output tool, but as a coordinated step within a broader, goal-driven process.

Availability

The company recently confirmed that Manus is now available to all users with no waitlist. To encourage adoption, it's offering:

• Free daily tasks worth 300 credits

• A one-time bonus of 1,000 credits for new users

These credits give newcomers room to explore the platform's full capabilities—including the new image generation feature—without an upfront cost. Credits reset daily but do not roll over, which the company says is intended to encourage consistent, everyday use.

For heavier users or business applications, paid plans range from $19 to $199 per month, offering additional features, higher credit limits, and faster response times.

What This Means

Most image generation tools respond to prompts. Manus goes further—by trying to understand what the user is actually trying to achieve.

That shift—from prompt-based tools to intent-driven systems—is what makes this release notable. It has the potential to reshape how individuals and businesses use AI to solve real problems, not just generate outputs. Instead of simply translating a text description into a visual, Manus interprets broader goals, plans a path to reach them, and uses image generation only when it fits the task. The image isn’t the end product—it’s part of a larger solution.

This model reflects a new direction for generative AI: not just producing content, but reasoning through what kind of content is needed and why. It marks a step toward agents that act with context, not just commands.

By building around intent, Manus moves beyond tools that generate and toward systems that understand.

Editor’s Note: This article was created by Alicia Shapiro, CMO of AiNews.com, with writing, image, and idea-generation support from ChatGPT, an AI assistant. However, the final perspective and editorial choices are solely Alicia Shapiro’s. Special thanks to ChatGPT for assistance with research and editorial support in crafting this article.