News Radar · agent template

By the time you spot a breaking story in your feed, it has already reached half its audience and your window to respond is closing.

Know what the world is saying, before it becomes a problem

News Radar is a team of AI agents that scans the news for you, filters out the noise, and ranks what matters. You get a short, clear digest of the coverage that actually affects your brand and your market.

A digest in minutes5 agentsNo-code fork
news-intelligence.rundone
Radar Leadplan

Scan last 24 hours across news, blogs, and social for the target topics

Story Scouttool

Retrieved 340 articles from 60+ sources

Signal Filtertool

Cut 291 as noise or duplicates, kept 49 real events

Executive digestanswer

12 ranked stories grouped into 3 themes, one flagged urgent

one run · manager plans, specialists report, you get one answer

The old way

The job, before you had a team for it.

This is the work News Radar quietly takes off your plate.

Running the same searches by hand every morning

Skimming hundreds of headlines and still missing the one that matters

Finding out about a crisis hours after it started spreading

Building a dashboard nobody ever opens

The team · 5 agents

A team of agents, not one prompt.

A manager agent reads the goal and hands each part to a specialist built for it, then reconciles their work into one result.

Manager agent
Radar Lead

Coordinates the retrieval and sorting agents, then assembles one clean digest with no duplicates and nothing lost

01 · specialist
Story Scout

Pulls a fresh, diverse set of recent news and coverage from across news sites, blogs, and social sources.

02 · specialist
Signal Filter

Reads each story and keeps only real event-level developments, dropping repeated chatter and noise.

03 · specialist
Relevance Judge

Scores each surviving story by how much it matters to your brand, your market, and your goals.

04 · specialist
Digest Writer

Groups the top stories by theme and writes a short executive brief you can read in two minutes.

The run

How it runs.

Fork it, point it at your inputs, and let the team work.

STEP 01
Name your topics

Tell the team the brands, competitors, and themes you care about.

STEP 02
Agents scan the news

Story Scout pulls fresh coverage from across the web in near real time.

STEP 03
Noise gets filtered

Signal Filter and Relevance Judge keep only the stories that matter to you.

STEP 04
You get a digest

Digest Writer hands you a short, ranked brief grouped by theme.

See a real run

A daily AI industry brief for a strategy team.

You ask

"Give me a morning digest of AI news that matters to an enterprise strategy team: funding, regulation, big model releases, and major deployments."

the team gets to work
You get back
  • 12 ranked stories grouped into funding, regulation, and product
  • One urgent flag on a new rule affecting enterprise AI
  • Two-line summary of each story with a source link
  • Everything delivered as a two-minute read, no dashboard needed

Where teams put it to work.

01
Comms and PR lead

Catches a rising story early enough to shape the response within the first hour.

02
Marketing manager

Tracks campaign reception and share of voice against competitors each week.

03
Strategy or investment analyst

Spots funding moves, new entrants, and regulation before they hit the mainstream.

What you provide
  • The brands, competitors, and topics to watch
  • The sources or markets that matter most to you
  • How often you want the digest delivered
What you get back
  • A ranked digest of the stories that matter
  • Themes and groupings, not a raw feed
  • Urgent flags on anything that needs a fast response
  • A source link for every story so you can verify
The basics

What is media monitoring?

Media monitoring is the practice of tracking mentions of your brand, competitors, and topics across news, blogs, and social media in near real time. The goal is to know what is being said, where, and by whom, so you can act early.

Good monitoring does more than count mentions. It ranks them by importance and surfaces only what matters.

How is AI news monitoring different from a keyword alert?

AI news monitoring reads and judges each story the way an analyst would, then ranks and summarizes it. A keyword alert just forwards every match, noise included, and leaves the sorting to you.

That difference is the whole game. AI agents filter thousands of stories down to the handful that actually affect your team.

New to this? Read our guide on how to build a sales battlecard.

Questions, answered.

How is this different from a Google Alert?

A Google Alert sends you every mention, noise and all. News Radar reads each story, filters out chatter and duplicates, ranks what is left by relevance, and hands you a short digest instead of a flood of links.

How fast will I know about a breaking story?

The agents scan in near real time, so you can learn about a story within minutes rather than hours. That speed matters because negative news reaches half its audience within the first 90 minutes.

Can I control what counts as relevant?

Yes. You set the topics, brands, and priorities. The Relevance Judge applies your rules every run, so the digest stays focused on what actually affects your team.

Start here

Fork News Radar and make it yours.

Start from a working team of agents, then swap the tools, tune the instructions, and run it in your own workflows.

Fork this template