News aggregators answer "what happened". Readers usually want the next question answered: so what changes for me? I added two features to Ruri Jupjup, a free Korean information site I build with an AI coding agent:
- an "impact on my life" card under news issues, and
- a "what experts said vs what the market did" page that plots named expert statements as dots on real price charts and checks them 7 and 30 days later.
The constraint was strict: no invented sentences, no invented numbers, and no server. Here is how it is built.
1. A rule table instead of generated text
If a model writes "this could raise your loan interest" on the fly, it will eventually write something plausible and wrong. So impact sentences come only from a hand-written JSON rule table.
- 10 rules: interest rates, FX, oil, housing, semiconductors, stocks, crypto, prices, policy, security
- each rule = keyword regex + 1–3 lines of "who is affected → what may change → where to check (link)" + a small gauge (my wallet / daily life / schedule: low, mid, high) + which market series to attach
- wording is always conditional ("may", "can"), and every card ends with general information, depends on your situation, not investment advice
- issues containing death/accident terms never get a card (1 of 60 today)
Result on today's build: 7 of 60 news issues and 7 of 26 trending topics matched a rule and got a card. Most issues do not affect a household budget, and the card simply does not appear for them.
Numbers in a card come only from the article headline (a regex for %, %p, won, dollars, bp and dates), printed next to the outlet and title so there is never a number without a source.
2. Public price data, checked against robots.txt
| Series | Source | Days |
|---|---|---|
| S&P 500, Nasdaq Composite, KRW/USD, WTI, US 10-year | FRED public CSV (fredgraph.csv?id=…), allowed for User-agent: *
|
81–83 |
| Bitcoin (KRW) | Upbit public API, daily candles | 120 |
| KOSPI, Korean bonds, a chip index | no free source that allows crawling yet → statements only | — |
Six series download in 1.6 s into a 12.8 KB JSON file, once a day. The hourly site build only reads that cache. If one series fails, it keeps yesterday's values for that series only.
3. Checking statements after the fact
- value on the statement date = that day's close, or the last trading day before it
- value 7 days later = first trading day on or after date + 7; until then the page says "check on 10/27"
- an optimistic statement followed by a rise (or a cautious one followed by a fall) is shown as "moved as stated", otherwise "moved the other way": facts only, no mocking
- a per-institution leaderboard appears only after 5 judged statements; below that the page shows "sample N"
Right now there are 15 named expert statements in 30 days and 0 judged, because collection started on 10/16 and no 7-day window has closed yet. The rule "don't rank before there is data" is visible on the page instead of hidden in code.
4. Static JSON + one SVG path
There is no charting library. At build time each chart is a single SVG path plus circles for statements; the only script opens the headline and source link when a dot is tapped. FRED lags a day or two, so statements newer than the last price point used to pile up at the right edge. The fix: extend the axis to today and draw dots right of a dashed "no data yet" line in a lighter colour.
Size of the whole thing: impact code 62 lines + rule JSON 44 lines, market module 86 lines. A full site build takes about 89 s and the site is plain static HTML on GitHub Pages.
5. Opinion lives in a labelled box
The same data feeds a weekly commentary piece, for example why "AI bubble" talk came back the day the Nasdaq rose 1.1%. It keeps facts (with links), the conflicting expert quotes, the actual index moves and the impact card separate from opinion, which sits in its own clearly labelled box.
Try it
- Expert talk vs market: sungprofile.cloud/money/experts
- Full build notes (Korean): sungprofile.cloud/dev/issue-impact-market-pipeline
- The rest of the site (contests, support programs, 1,350 fridge recipes): sungprofile.cloud
Built with an AI coding assistant; all numbers re-measured on the 2026-10-20 build. General information, not investment advice.
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