Imagine you run a sports newsletter. Your beat is football. Your team is the New York Jets (apologies in advance). In the past, you might have set up a Google News Alert to monitor daily updates. It’s a useful tool—emailing you links to stories where your chosen keywords appear. But today, AI agents are doing so much more.
You can build an AI news agent that doesn’t just deliver links—it actively searches, filters, and distills information into actionable insights. It can focus on the exact topics you care about, summarize takeaways, and even generate tweets or reports. It runs on your schedule (or when you’re sleeping), adapts to your evolving goals, and integrates directly into your workflow.
For content creators, journalists, and thought leaders, AI agents aren’t the future—they’re the present. As a CEO and frequent contributor to publications like Forbes, I use AI agents every day to stay ahead of the curve. Here’s how you can build the ultimate news agent in 2025.
What Is An AI News Agent?
Wouldn’t it be nice if you could hire an assistant dedicated to staying on top of news and industry updates? Most business owners, however, don’t have the resources to hire extra hands, and yet, they want the same careful attention to detail. That’s where AI agents come in.
Using a tool like Dumpling AI, which lets you create agents from templates or scratch, you can build an agent that proactively scours the latest news, identifies stories relevant to you, and sends you reports with key takeaways. You give the agent instructions and then pair it with internet-connected tools—like Google Search, Perplexity, or URL scrapers—and it takes care of the busywork for you.
The Added Benefit Of Meta-Agents
Since I’m always looking for ways to automate and streamline workflows, I took it one step further and built a meta-agent—an AI agent that creates instructions for other agents. It generates clear, concise, step-by-step guides tailored to your goals, so you’re not starting from scratch every time you build a new agent. Just tell it what kind of agent you want to create, and it generates a polished instruction set.
I’ve trained mine to follow a blueprint: define the core objective, map out the flow, structure instructions hierarchically, and highlight best practices and common pitfalls. I can then tweak those instructions as needed and plug them directly into a new agent.
For example, I can prompt my meta-agent with, “Create an AI agent instruction for a newsletter author who wants the most up-to-date news on the Jets football team from the last 24 hours.” It responds with something like “Direct Instructions for Jets Football News Aggregator AI Agent,” including steps like:
- Initiate news search
- Collect and filter articles
- Summarize key insights
I then copy and paste the instructions into my agent builder, and I’m ready to go.
Linking Agents Together
Another powerful feature of AI agents: they can coordinate their efforts and hand off work to each other. You can create a news-gathering agent that feeds its output into a second agent that pens tweets, or a third that adds story ideas to your Notion database.
By linking agents together, you can automate entire workflows—from research to publishing—without any personal input. For instance, journalists can create agents that conduct timely research and generate X threads. Executives can create agents that create news briefings and insights. Content creators can build agents that compile topical news and updates and create social posts.
As a result, you’re left with more time for deep work, like creativity and strategy.
The Rise Of Personalized News Intelligence
AI agents are more than just productivity hacks—they’re a way to deepen your media literacy and put a stronger pulse on what’s happening in the rapidly changing world. They give you the power to cut through noise and turn the latest information into actionable steps.
With the right AI news agent, you shift from a passive consumer to an active participant, helping to shape the narrative.
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