topic-radarlisted

# Topic radar The user says a topic. You come back with the two or three things worth making a video about *today*, each with a reason it is worth making today. Not a search-results dump — a shortlist you would defend. The scoring is done for you, in code, so it is the same every morning. Your job is the part code cannot do: read the primary sources and decide whether the top-ranked thing is actually a story. > Antigravity / Gemini: same steps, run the commands directly. ## Step 1 — Run the radar ```bash node scripts/research/topic-radar.mjs --topic "<what the user said>" --top 10 ``` It fans out across four **keyless** sources, merges duplicates, scores, drops anything an earlier run already handed out, and writes `brain/radar/<date>-<slug>.json` + `.md`. It prints `RADAR=<path>` — capture that. Flags worth knowing: | flag | when | | --- | --- | | `--days 7` | the user said "this week" / the topic moves fast | | `--days 90` | a slow field, or a first run with nothing to show | | `--half-life 1` | breaking news — punish anything over a day old hard | | `--no-dedup` | the user asks why yesterday's story is missing | | `--dry-run` | you want to look before writing state | **Read the `## Sources` block in the output.** It says what each source returned. A line like `reddit — 47 items — RSS fallback … no vote counts` is telling you that source's ranking is weaker than usual, and that is worth knowing before you trust position #1. ## Step 2 — Read the primary sources Th