Editorial policy
FrontierLab publishes three kinds of pages, and we're explicit about how each is made.
1. Data pages (automatic)
Per-stock, per-sector, screen, and track-record pages are rendered from our own daily data — grades, flags, calibration. No opinions are generated; they show what the numbers say, refreshed each morning.
2. Editorial notes (AI-drafted, human-approved)
Short market notes are drafted by AI strictly from FrontierLab's own data (the day's grade changes, new/cleared flags, calibration moves) and reviewed and approved by a human before publishing. Nothing is auto-published. Every note links to the data it cites and is labeled "AI-assisted, human-reviewed."
3. Research reports (AI-assisted, human-shaped)
Longer studies (e.g. "did the grades work this quarter?") are built from our computed tables, AI-assisted in drafting, then shaped and approved by a human. Every figure carries its sample size and window.
What we will not do
- No mass-published, unreviewed AI articles. Velocity is capped on purpose.
- No price targets, "fair values," or buy/sell calls.
- No fake precision — small samples are labeled "too early to tell."
Corrections
If a published page is wrong, we fix it and note the correction. The grade-at-entry record in the paper game is immutable, so the track record can't be quietly rewritten.