A short news podcast on my phone, every weekday morning.
BeforeI scrolled several news sites every morning.AfterOne message arrives on its own: a short audio briefing, a recap and the links.
ResultRunningIt runs by itself every weekday, after the market opens.
Jump to the resultSee what arrivesTechnical deep dive

The 60-second version
- What I built
- A small automation that collects the day’s news, has an AI model pick what matters and write a short script, and has a natural-sounding voice read it. The audio, a recap, photo cards and the links land in my Telegram.
- A timer starts it
- Collect the news
- AI picks and writes
- A voice reads it
- Sent to Telegram
- I listen
- Who did what
- The idea, the quality bar and the design were mine; AI helped me research each tool first. AI models write the summaries and read them aloud, inside rules I set. Every story links back to the original article.
- Runs as
- A timer, every weekday around 11 am New York time: after the opening bell, so there are articles to summarise. Nothing to press.
Part 1 of 4: The problem
I wanted the day’s news without opening several sites every morning.
Markets, tech and world news in one place. If a machine was going to summarise it for me, it had to be good enough to listen to every day.
Exhibit 1My morning news, before and now
Drag to compareIllustrative picture. Before: four browser windows, a finance news site, a newspaper, a tech news site and a world news site, each full of headlines to read. Now: one message from my briefing bot in Telegram, with the day’s headline, a short audio briefing (3 minutes 40 seconds in this example), a recap, photo cards and all the day’s stories.
Part 2 of 4: What I built
One message each weekday: press play, or read the recap.
Around 11 am New York time, after the opening bell, it runs on its own and sends the package to my Telegram.
Exhibit 2What lands in my Telegram each weekday
Point at a numberIllustrative picture of one weekday message, the shape of a real run on Sep 16, 2026, shortened. Numbered parts: 1, the audio briefing, 3 minutes 40 seconds. 2, the recap: policy, markets and tech, one line each. 3, two photo cards, each with a headline, one line on why it matters and a link. 4, all the day’s stories, each with its source. The list under the picture explains each part.
Global briefing · Sep 16
Fed hikes, Dow drags in a mixed session
PolicyThe Fed raised rates a quarter point, its first hike in three years.
MarketsMost indexes slipped a little; the Dow fell harder, dragged by a few big names.
TechA public jab between two AI labs made the front pages.
Photo cards

Fed raises rates for the first time in 3 years · SCMPWhy: the Fed–White House tension, first hand.read article
China runs a weather model on 100,000 home-grown AI chips · SCMPWhy: domestic chips at scale, despite export controls.read article
Global · all stories
- Fed raises rates for the first time in 3 years · SCMP
- Takeaways from the Fed’s decision · New York Times
- Fuel prices push UK inflation higher · BBC
- Hong Kong plans to double innovation spending · SCMP
- … and the rest of the day’s stories
- The audio. A short spoken briefing, read by a voice I chose after testing others.
- The recap. What moved the markets and why, in the same short shape every day.
- Photo cards. The top stories, each with one line on why it matters and a link.
- All stories. Every item names its source and links to the original article.
How one weekday run works, in five steps1 exhibit · under 1 min
Exhibit 2.1One weekday run, step by step
- A timer starts itWeekdays, around 11 am New York time. Nothing to press.
- It collects the newsStories from several news sources: finance, technology and general news.
- An AI model picks and writesIt picks what matters and writes a short script.
- A voice reads itText-to-speech turns the script into audio.
- Telegram gets the packageThe bot posts the audio, the recap, the photo cards and the links.
- I decide what to read in fullEvery story links back to the original article.
Part 3 of 4: My choices
I tested each part before it went into the daily message.
I listened to different voices, compared image styles and tried AI-made charts. Then I kept tweaking the format, run after run.
The bar I setWorth listening to every day.
Exhibit 3Three things I tested
Pick a test-
The voice
I listened to different text-to-speech voices and kept one that takes notes on tone and emotion, so the briefing sounds conversational, not robotic.
-
The pictures
I compared image tools that can run inside an automation, from cinematic to cartoon-like, against the look I wanted for financial news.
-
The charts
AI-made charts looked convincing, but their numbers weren’t reliable.
My part, and what the AI does2 short lists · under 1 min
My part
- The idea and the bar: worth listening to every day.
- Designing the steps and wiring the tools together.
- Choosing the voice after testing options, and tuning its tone.
- Tweaking the format, run after run.
What the AI and the timer do
- AI models write the summaries and read them aloud, inside rules I set.
- AI helped me research each tool before I built with it.
- A timer starts every run; I don’t press anything.
- The journalism is the newsrooms’: every item names its source and links to it.
Part 4 of 4: What changed
Running
It runs by itself every weekday. I listen instead of scrolling.
Built for one listener: me.
SkillsWorkflow automation · Testing AI tools · Setting a quality bar
Exhibit 4What I stopped doing by hand
Scroll to cross out the old wayRepetition
Before: Open several sites, every morning.Open several sites, every morning.
Now: The summaries and the links arrive in one place.
Hand-starting
Before: Remember to go and look.Remember to go and look.
Now: Nothing to press. It runs itself on weekdays and tells me if a step fails.
Reading
Before: Read everything to find the few that matter.Read everything to find the few that matter.
Now: Listen for a few minutes. Open a link only when I want more.
Built with
- Python, collects the news
- n8n, the timer and the steps
- Claude, picks and writes
- Inworld, the voice
- Cloudflare R2, stores the audio
- Telegram, delivers the message