Methodology
The tool retrieves the current Senate Appropriations roster from official Senate sources. For each senator-topic query, it searches public records and official or reputable sources, then ranks and summarizes evidence from the selected date window.
The analysis separates evidence from interpretation. Retrieved sources are shown with URLs, source type,
reliability labels, and confidence notes. Committee-wide analysis creates one senator research job per
committee member and stores completed runs for reuse.
Majority-of-committee guidance is not generated by assumption. The system waits for senator-specific
evidence and only labels a theme as majority-supported when enough committee members' public records support
that theme.
Limitations
The tool can miss sources that are not indexed, are blocked, are published in difficult document formats,
or are not clearly connected to the selected senator and topic. Some senator-topic combinations have thin
public records.
It does not provide legal, lobbying compliance, campaign, donor, or voter-targeting advice. It does not
infer private beliefs, personal psychology, medical traits, or motives. It does not guarantee how any senator
will vote.
Outputs should be treated as research assistance. Users should read and verify cited sources before relying
on any language in live testimony, public communications, or executive briefing materials.
Author
Wayan Vota is a digital development strategist who focuses on
practical technology adoption and responsible AI uses by mission-driven organizations.
Wayan is not a software engineer - he cannot code his way out of a paper bag. All aspects of the tool were vibe coded using OpenAI Codex and following its direction to engage other web services.
He built this tool as a proof of concept to show
how public-record retrieval, source discipline, and AI-assisted synthesis can improve testimony preparation
without replacing human judgment.
This is a personal passion project. That doesn't reduce his enthusiam. It makes him fearless.