Collect by source tier
Early, validating and mainstream inputs are kept apart so one social mention cannot carry the weight of a credible early signal.
PERSONAL INTELLIGENCE PLATFORM · CONTINUOUS LOOP
A system that turns emerging AI and product signals into a weekly point of view
01 / THE CONTEXT
The system preserves the signal chain: collect evidence, weigh it by source quality, observe it over time and translate it into an opportunity map that is personal and actionable.
02 / THE LOOP
Early, validating and mainstream inputs are kept apart so one social mention cannot carry the weight of a credible early signal.
Entities and recurring themes become trends with velocity, recency and adoption-stage signals.
Trend evidence is compared with a living skill map and six product-management radars.
Weekly reports are accompanied by traces and checks for extraction, theme matching, trend quality and briefing output.
03 / EVIDENCE IN PRACTICE
This is the original weekly report. It names the signals, their source trail and the actions it recommends—not a generic dashboard state.

Source: PM intelligence brief · 19 September 2026 · 131 signals processed · 10 opportunities scored
04 / PRODUCT JUDGMENT
A repository with real adoption velocity and a casual mention are not equivalent evidence. Tiering makes the distinction explicit before a trend is surfaced.
Every stage can fail usefully. The evaluation layer records weak extraction and coverage so they become product work, not invisible error.
05 / WHAT I LEARNED
“A useful intelligence product does not make a person read more. It helps them decide what matters before the window closes.”