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Is Structured Human Input the Missing Link in Agentic Work?

Explores whether structured human input improves performance of autonomous AI agents.

Steady
Signal score
19
Trajectory
↓ Cooling
7-day est. ~8

Why this scored 19

every term, weighted
Velocity+0.0 / 40

Engagement gained per hour since the last capture, against the fastest item on its own source

Acceleration+10.9 / 25

Whether that velocity is itself speeding up, as a per-hour rate

Cross-source spread+0.0 / 25

How many independent communities are talking about the same entity

Recency+8.4 / 10

Decays to zero over 14 days

Saturation penalty−0.3 / 30

Subtracted once something is big and old — we rank what's next, not what's peaked

Composite19.1

Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On a topic's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology

Outlook

low confidence · estimate, not a guarantee

7-day

~8

range 0–20

14-day

~0

range 0–14

30-day

~0

range 0–19

Signal history

7-day window (free)
837

projected trajectory (estimate, not a guarantee)

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Drop this in a README or blog post — it updates automatically as the score moves.