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As marketers handle an ever-growing number of tasks from research and content production to data response, AI tools that can “do the work” themselves are becoming a notable topic. A new article from Social Media Examiner shows that Manus can do more than answer questions; it can carry out multi-step workflows on behalf of users with less manual intervention.
- Key points:
- Manus is described as an agentic AI tool that can execute steps on its own rather than just suggesting what to do.
- Unlike conventional chatbots, Manus aims to complete tasks by working with other tools and accessing the web independently.
- This trend is especially relevant for marketers because it can reduce repetitive actions in multi-step workflows.
- For the Vietnamese market, the real value lies in controlled automation, not in fully replacing people.
Manus and how it differs from traditional AI chatbots
Social Media Examiner’s article places Manus in a very familiar context for today’s AI users: many chatbots can answer quickly, but most still stop at “pointing the way” and leaving the rest of the work to humans. Manus is presented in the opposite way, taking on a task and then independently carrying out the steps needed to achieve the goal.
What stands out is that this approach is not centered on continuous conversation, but on execution. According to the source’s description, Manus can work through multiple stages, connect with other tools and access the web without requiring users to intervene at every step. For marketers, this signals that AI is moving from a “thinking assistant” to an “operations assistant.”
This is especially important in social media workflows, which often involve many repetitive stages: gathering information, cross-checking data, preparing draft content, and then editing and approval. When part of that chain is handed over to agentic AI, marketing teams can focus more on strategy, brand messaging and quality control.
Source: Social Media Examiner – “Building Agentic Workflows with Manus”
Agentic workflows: From “support” to “execution”
The concept of an agentic workflow in the article is emphasized as a step forward from conventional AI use. Instead of asking users to issue commands continuously at every stage, the system can break a large task into smaller steps and complete most of the process on its own. This is what makes Manus seem like a tool suited to building more highly automated workflows.
For social media, this approach can be useful when teams need to handle tasks that require synthesis and sequential action. For example, a topic research workflow could start with finding sources, then filtering information, and then summarizing it for content planning. The key point is that users do not just receive a final answer, but also an “agent” that can move through multiple layers of work.
That said, the article also points to an important principle: the deeper the automation, the more clearly the input, output and level of human oversight need to be controlled. For brands, especially in the fast-moving social media environment, AI’s ability to run on its own must go hand in hand with moderation mechanisms to avoid misinformation or brand risk.
Source: Social Media Examiner – “Building Agentic Workflows with Manus”
A perspective for the Vietnamese market
For Vietnamese marketers, the story of Manus is not just about a new tool, but about a shift in operational thinking. Many social media teams still spend time on manual tasks such as gathering data, summarizing information, preparing draft materials or moving back and forth between multiple platforms. Agentic AI could open up an optimization path for those jobs if implemented properly.
One thing to note is that the Vietnamese market has its own characteristics in terms of language, cultural context and fairly strict content approval requirements. Therefore, businesses should see tools like Manus as an acceleration layer for workflows, not as a replacement for editors, social media managers or quality control teams. The most reasonable approach is to use AI to reduce repetitive work, while humans retain the role of strategic direction and final decision-making.
In the short term, marketing teams can test agentic AI on lower-risk tasks such as topic research, market insight synthesis or preparing content outlines. Once the workflow is stable, they can expand into more complex stages. This is a more practical path than rolling it out broadly without proper control standards.
Editorial perspective: Agentic AI will not replace strong marketers, but it could significantly change how marketers organize their daily work.
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This article focuses on agentic AI for social media with a perspective for the Vietnamese market.
