What is a daily news & industry summary agent?

An agent that reads the headlines so you don't have to — and lands a five-minute brief in your inbox before your first meeting. What it actually automates, and where a human still needs to check its work.

The problem

Staying informed is a full-time job nobody was given the time for

Most founders and executives know they should be reading the news in their industry every day. Few actually manage it, because the work isn't reading one article — it's opening a dozen tabs, skimming past what doesn't matter, and mentally stitching the rest into something you can act on. That takes thirty to sixty minutes most people don't have before the first meeting of the day.

So it gets skipped. Which means the first anyone hears about a competitor's product launch, a regulatory change, or a shift in the market is often from a customer, a board member, or a journalist — days after it happened.

What it is

A briefing that writes itself before you wake up

A daily news and industry summary agent watches a set of sources — usually Google News RSS feeds for your industry, competitors, and key terms — pulls whatever published in the last 24 hours, and hands the raw headlines to an AI model with one job: turn a pile of scattered articles into a short, prioritized executive summary.

The version most people build first runs entirely on Make.com with a free-tier AI model (Gemini, in this build), which means no server to maintain and no per-request API bill — it fires on a schedule, does its work, and lands the result in your inbox.

A well-built one will:

The realistic goal: Replace the thirty minutes of scanning, not the judgment. The agent should hand you a shortlist of what matters; deciding what to do about it is still yours.

Why it matters

The cost of being late to industry news is invisible until it isn't

Being early is a genuine advantage. The businesses that responded fastest to a shifting market, a new regulation, or a competitor's move were rarely smarter — they were simply reading the news the same day it broke instead of a week later.

Manually curating industry news doesn't scale with the size of the industry. A founder tracking one competitor can do it by hand. A founder tracking a market, five competitors, and three regulatory bodies cannot — not consistently, not for months on end.

Consistency is the actual hard part. Anyone can read the news once. Doing it every single working day for a year, without fail, is where humans quietly give up and automation doesn't.

Best practices

Getting a briefing that's worth opening every morning

Name your sources instead of trusting "AI news"

A feed built from three or four RSS sources you actually respect will beat a broad AI-driven news search almost every time. Generic search surfaces volume; named sources surface relevance.

Tell it what "important" means for your business

An AI model has no idea your biggest competitor is a specific 40-person company unless you say so. Give it the handful of names, terms, and topics that actually move your business, and instruct it to weight everything else lower.

Ask for a summary, not a translation

A good brief compresses ten articles into three sentences of what changed and why it matters — it doesn't just rephrase each headline in order. If yours reads like a list, tighten the prompt.

Keep a 'so what' line at the top

Busy people read the first line and decide whether to read the rest. Instruct the agent to open with the single most consequential item of the day, not the most recent one.

Review it for a week before trusting it silently

The first few days will surface irrelevant sources or a summarization style that doesn't fit how you think. Tune it while you're still checking it daily, not after you've stopped.

The mistake that costs the most: Treating the summary as the whole picture. A five-minute brief is built to be lossy on purpose — it should tell you what to go read in full, not replace reading the thing that actually matters that day.

Limits

What it will not do for you

It cannot judge nuance the way a person immersed in the industry can — sarcasm in a press release, a competitor quietly backpedaling, the subtext of who wasn't mentioned. It flags volume and keywords well; it reads between the lines poorly.

It only knows what its sources publish. A private conversation, an unannounced move, or a story your sources simply don't cover won't show up, no matter how important it is.

It will not tell you what to do about the news — only what happened. The judgment call on whether to respond, and how, stays with you.

Daily News & Industry Summary Agent — This guide covers what the agent does and where to point it. The Builder 1 session is the build itself — wiring RSS sources into Make.com, prompting a free Gemini model to summarize them, and scheduling the whole thing to land in your inbox every morning with no code and no API bill.

Frequently asked questions

Does this cost anything to run?

The version built in Builder 1 uses Make.com's free tier and Google AI Studio's free Gemini tier, so a single daily brief typically costs nothing beyond the time it takes to set it up once.

Can it cover multiple industries or competitors at once?

Yes — you can point it at multiple RSS feeds and ask the AI step to organize the output by topic instead of one flat list. It's mostly a matter of how you structure the prompt and the feed list.

Will it miss important news that isn't on the wire yet?

Yes. It only summarizes what its sources have published. Breaking news that hasn't been written up yet, or industry gossip that never makes it into an article, won't appear.

How is this different from a Google Alert?

A Google Alert sends you every matching article individually, with no synthesis. This agent reads all of them together and writes you one short summary of what actually changed — the difference between a stack of clippings and someone briefing you.

Do I need to know how to code?

No — the Builder 1 build uses Make.com's visual, no-code workflow builder. If you'd rather build it in Python, the same idea works there too, but it isn't required.