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The rise of robots: how advanced technology is changing

The rise of robots: how advanced technology is changing

Robots set to take on more complex tasks in the future

Livia PhilipsLivia Philips
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Robots have come a long way in recent years, and they are now being used in a wide range of industries and applications. From manufacturing and assembly to healthcare and education, robots are starting to play an important role in many aspects of our lives. One of the biggest developments in the field of robotics is the increasing use of artificial intelligence and machine learning. These technologies are allowing robots to become more intelligent and adaptable, allowing them to take on more complex tasks and work alongside humans. For example, some hospitals are using robots to assist with surgeries, and some schools are using robots to help teach students.

Another exciting development in the world of robotics is the increasing use of soft robotics. Traditional robots are typically made from hard materials such as metal and plastic, which can be rigid and inflexible. Soft robots, on the other hand, are made from flexible materials such as silicone and rubber, which allows them to be more agile and adaptable. This makes them well-suited for tasks such as grasping and handling objects, which are difficult for traditional robots to perform.

Overall, the field of robotics is advancing rapidly, and we are likely to see even more impressive developments in the future. As robots become more intelligent and adaptable, they will be able to take on an even wider range of tasks, and they will play an increasingly important role in many different industries.

What are Hygraph AI Agents?

Hygraph AI Agents are intelligent automations that can be assigned to specific steps in your content workflows. Unlike traditional automation that follows rigid rules, Agents use large language models (LLMs) to understand context, make decisions, and execute content tasks autonomously, all while respecting your existing roles, permissions, and approval processes.

Rather than an external “agent,” think of them as specialized teammates working inside your content workflow, and they never sleep. When a content entry enters a workflow step with an assigned Agent, the Agent automatically processes the content according to its designated job.

Whether it's translating an approved blog post into multiple locales, generating an SEO report, or creating executive summaries from long-form content, Agents handle the work. At the same time, you maintain complete visibility and control.

How Hygraph AI Agents work

Getting started with Hygraph AI Agents is straightforward. Here's how to configure them for your content workflows:

1. Navigate to AI Agents configuration

In your Hygraph project, go to Project Settings and select AI Agents from the settings menu. This is your central hub for managing all Agent configurations.

2. Add a new Agent

Click Add Agent to create a new automation. You'll be prompted to select from three available Agent types:

  • SEO Expert: Analyzes your content and provides optimization recommendations for search visibility, including meta descriptions and title suggestions

  • Translation Agent: Automatically localizes content into your selected target locales while preserving structure and formatting

  • Content Summarizer: Generates concise summaries from long-form content, perfect for creating excerpts, social media snippets, or executive overviews

Editor's NoteWe will be shipping more AI Agents, complementing more jobs-to-be-done in the near future.

3. Configure your Agent

Once you've selected an Agent type, you'll configure its operational parameters:

  • Workflow assignment

    : Choose which content workflow the Agent should operate on. This determines when and where the Agent activates in your publishing process.

  • Workflow step

    : Add a new Agent step to your selected workflow, or assign the Agent to an existing Agent step. When content enters this step, the Agent automatically begins processing.

  • Agent-specific settings

    : Depending on the Agent type you've chosen, additional configuration options will appear. For example, the Translation Agent requires you to specify source and target locales, while the SEO Expert may need guidance on your target keywords or optimization priorities.

4. Deploy and monitor

Once configured, your Agent is active. As content entries move through your workflow and reach the Agent's designated step, processing happens automatically. You can monitor Agent activity through the dedicated KPI view on the Agents configuration settings. The agent will also add a comment to the content entry once completed.

That's it. Your Agent is now embedded in your workflow, ready to handle repetitive content tasks while you maintain complete visibility and control.

Why Hygraph AI Agents?

Traditional content automation requires you to choose between speed and governance. Hygraph AI Agents eliminate that tradeoff by embedding intelligence directly into your workflows with built-in enterprise controls.

Content velocity without risk

Editorial teams are increasingly juggling tasks throughout the content lifecycle, losing time to repetitive work. Agents execute tasks the moment content enters their workflow step, without manual triggers or context switching. Translation that once took days happens in minutes. SEO reports that require dedicated writers are generated automatically. But unlike standalone AI tools, every action happens within your defined workflow, with full audit trails and the ability to review changes before they go live.

Enterprise governance by default

Every Agent action respects your existing permissions framework. They can only operate on content within their assigned workflow step, honoring the same role-based access controls that govern your human team. Every operation is logged, auditable, and traceable. If an Agent makes a change you disapprove, human editors always have the final say.

Schema-aware intelligence

Hygraph Agents understand your content model. When translating, they preserve your structured content and formatting. When summarizing, they respect field-level requirements and character limits. This is the difference between an AI Agent built inside Hygraph and any other AI Agent: it operates with native awareness of your schema, content hierarchy, and relations.

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