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AI News Reel Maker

Turns the day's most useful AI news into a 35–45 second Cantonese reel and posts it

On the video days of a brand's posting rotation, it picks one practical AI-tools story from the last 24 hours, writes a short script, and builds a 35–45 second vertical reel with a Cantonese voiceover, animated frames, captions and music, then posts it to Instagram Reels and Threads.

Social mediaNews selectionCantonese voiceoverVertical reelsAuto publishingBackup reel
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At a glance

What it does01

  • Picks one practical AI-tools story from the last 12–24 hours and never repeats a story already covered
  • Writes the script in Hong Kong written Chinese, from a key number to the takeaway and a 'try this' step
  • Builds a cover with the brand's recurring characters, plus animated explainer frames
  • Adds a Cantonese voiceover, captions and background music, then checks the finished video
  • Posts to Instagram Reels and Threads at a set time each evening
  • Switches to a 30-second backup reel if the main build fails, so the day is not missed

Example conversation02

AN
AI News Reel Maker
online
ClientIs today's reel ready?
AI News Reel MakerYes, it's built and checked: 35 seconds on a new AI meeting-notes feature, with three tips and a 'try this' step at the end. It goes out on Instagram Reels and Threads this evening.
ClientGreat. Let me know when it's live.
AI News Reel MakerWill do. I'll message you as soon as both posts are up.

Illustrative example

Human vs agent03

Same taskOne daily 40-second Cantonese news reel

By hand

≈ 4 hstaff time

  • Pick a story and write a short script
  • Record a Cantonese voiceover and design the frames
  • Add captions and music, render, then post
With the agent

≈ 5 minstaff time

  • Agent picks the story and writes a checked script
  • It builds the voiceover, frames, captions and music
  • Optional: you watch it before it posts

Builds unattended and posts in the evening slot

By hand≈ 4 h
With the agent≈ 5 min

Saves ≈ 98% of staff time

Estimates for one typical task, based on how the workflow runs. Actual results vary.

Ad-hoc AI vs our agent workflow04

The same task, done by prompting a general chatbot by hand versus through the agent’s set workflow.

Prompting a chatbot by hand

Tokens per task

≈ 60,000

Right first time

≈ 42%
  • Scripts run long and need several rewrites
  • Text drawn into images often comes out garbled
  • Easy to repeat a story already covered
Our agent workflow

Tokens per task

≈ 20,00067% fewer

Right first time

≈ 88%
  • Automatic format check before any video is built
  • Finished video verified before it is posted
  • A backup reel goes out if the main build fails

No AI is 100% reliable. When a run fails, the agent retries automatically or hands it to a person.

Estimates for one typical task, based on how the workflow runs. Actual results vary.

How it works05

  1. Step 1

    AI picks the day's story and writes a checked script

  2. Step 2

    A cover and short motion clip are made from brand characters

  3. Step 3

    Each frame gets a Cantonese voiceover and animated visuals

  4. Step 4

    Captions and music are added and the reel is rendered

  5. Step 5

    The reel is checked, then posted in the evening slot

  6. Step 6

    The story is logged so it is never picked again

Why it's trustworthy06

  • Each draft passes an automatic format check before any video is built
  • Every finished video is verified before it is posted
  • The owner is alerted if a reel is not live by the end of the posting window
  • A story history prevents repeats

Good for07

  • Brands building a habit of daily short-video content
  • Consultancies sharing practical AI tips with their audience
  • Teams that want regular video output without editing time

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