Every day, the system checks NASA's asteroid data against news coverage and flags media exaggeration or misinformation.
It branches. Every path runs; runs once per each region searched.
Pattern: Parallel Split (2) ยท Multiple Instances without Synchronization (12)
You want accurate information on near-Earth asteroid risks, but sensational headlines make it hard to tell what's actually dangerous. Sorting real threats from media panic takes research time you don't have, and misinformation can spread before anyone catches it.
Science communicators, journalists, or researchers who track space news and need to separate real risk from hype.
You get a daily check comparing asteroid news coverage against NASA's real data, flagging exaggeration before it spreads.
The hard question is not how to build it. It is whether this is the right thing to build first.
That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.
Let's Talk Strategy