Daily AI News Translation & Summary
Every morning at 8 a.m., it fetches top AI news, summarizes the 15 most relevant items in Traditional Chinese with English terms preserved.
What it does
Start your day at 8 a.m. with a concise Traditional Chinese summary of the top 15 AI news stories, complete with preserved English technical terms, delivered directly to your Telegram chat. This automated digest saves you time by filtering up to 40 articles and highlighting only what matters most for your field.
Step by step
- Configure a cron job to trigger the workflow daily at 08:00 UTC.
- Set up HTTP request nodes for NewsAPI and GNews with your specific API keys in the headers or query parameters.
- Define the Telegram bot token and chat ID as environment variables for secure access.
Where the LLM does the work
- Craft a system prompt that instructs the model to output exactly 15 summaries in Traditional Chinese while keeping technical terms like 'Transformer' or 'LLM' in English.
- Design the user message template to inject the raw JSON data from both news sources into the context window efficiently.
- Add post-processing logic via LLM to filter out low-quality or duplicate summaries if the initial selection is noisy.
Watch out for
NewsAPI free tiers often block requests from server IPs, so you must use a proxy or switch to GNews as your primary source.
Sending two separate API calls every day can quickly exhaust your monthly token limits, so batch the inputs into a single LLM call when possible.
Telegram messages have a 4096 character limit, so you need to truncate long summaries or split the digest into multiple posts if the output is too verbose.
Tools that fit
The agent brief
Everything your agent needs, including the gotchas. Copy it and go.
You are helping me build the following AI agent workflow. ## Goal Daily AI News Translation & Summary: Every morning at 8 a.m., it fetches top AI news, summarizes the 15 most relevant items in Traditional Chinese with English terms preserved. ## Specification - What it does: Start your day at 8 a.m. with a concise Traditional Chinese summary of the top 15 AI news stories, complete with preserved English technical terms, delivered directly to your Telegram chat. This automated digest saves you time by filtering up to 40 articles and highlighting only what matters most for your field. - Trigger: On a schedule (Scheduled · daily 8:00) - Autonomy: Fully hands-off - Expected setup effort: about an afternoon - Tools/services involved: - NewsAPI: Fetch news articles - GNews: Fetch news articles - OpenAI Chat Model: Summarize and translate content - Telegram: Deliver daily digest ## Known pitfalls, handle each one explicitly in your implementation 1. NewsAPI free tiers often block requests from server IPs, so you must use a proxy or switch to GNews as your primary source. 2. Sending two separate API calls every day can quickly exhaust your monthly token limits, so batch the inputs into a single LLM call when possible. 3. Telegram messages have a 4096 character limit, so you need to truncate long summaries or split the digest into multiple posts if the output is too verbose. ## Reference implementation https://n8n.io/workflows/3596 (workflow template) Fetch and inspect this before building. If it matches my stack, adapt it; if not, rebuild the pattern with my tools. ## Process requirements 1. Before building: ask me which of the listed tools I actually use and what my platform is (n8n / Make / code / other). Do not assume. 2. Adapt the pattern to my answers; do not force the reference stack. 3. Address every pitfall above; tell me how you handled each. 4. Provide a test plan I can run before letting this touch real data. 5. Ask before any step that sends messages, modifies data, or spends money. Source: https://usecasesforagents.com/use-case/daily-ai-news-translation-summary/ via usecasesforagents.com
Frequently asked questions
Can I use a different Search than NewsAPI?
Yes. NewsAPI is only the example search in this recipe. The same flow works with GNews, InfraNodus, Jina AI and SerpApi. Swap the search connection and keep the rest of the setup as written.
Want this running in your business?
This is what I do. I design and build AI agents like this one, and keep them running. If you want it set up for your team instead of doing it yourself, get in touch.
Who it's for
Built for anyone who wants this off their own plate, no team or company required.
Analysts get a ready-made pattern for turning raw numbers into a report someone will actually read.