Use AI This Election
Summary
An individual successfully utilized an AI, specifically Claude, to conduct in-depth research for local election voting, significantly enhancing their decision-making process. The author provided Claude with a detailed prompt outlining their political ideology (centrist liberal abundance YIMBY) and preferred political writers, then requested analyses of candidates and ballot measures for the June 2026 California primary. Claude generated comprehensive reports, including candidate bios, policies, endorsements, key differences, and tailored advice for races like the California Superintendent of Public Instruction and Measure A, a Peralta Colleges parcel tax reauthorization. The AI's analysis for the Superintendent race focused on aligning candidates with a "Kelsey Piper view" on education reform, while for Measure A, it detailed the \$48/parcel tax extension for 9 years, its \$8 million annual generation, and historical institutional challenges. The author informally rated Claude's recommendations across 10 races, achieving 5 As, 3 Bs, and 2 Cs, concluding that AI can substantially improve voter research.
Key takeaway
For voters preparing for local elections, you should consider integrating AI tools like Claude into your research process. By providing detailed prompts about your political leanings and priorities, you can receive personalized, in-depth analyses of candidates and ballot measures. This approach can significantly reduce research time and enhance the quality of your voting decisions, even if you ultimately diverge from the AI's direct recommendations. Experiment with prompt refinement to achieve optimal results.
Key insights
AI can effectively personalize complex political research, significantly improving voter decision-making.
Principles
- Tailor AI prompts with specific ideological frameworks.
- Prioritize evidence-based policy positions in candidate evaluation.
- Scrutinize institutional history for ballot measure assessments.
Method
Provide an AI with detailed personal political leanings and preferred writers, then request candidate bios, policies, endorsements, key differences, and tailored advice for each ballot item.
In practice
- Use AI to analyze candidates against specific policy views like "structured literacy."
- Evaluate local measures by examining historical institutional performance.
- Refine AI prompts to balance specific preferences with broader issues.
Topics
- AI for Voter Research
- Election Analysis
- Prompt Engineering
- Political Decision Making
- Local Elections
- Education Policy
Best for: AI Student, Prompt Engineer, Research Scientist
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Editorial summary, takeaway, and curation by AIssential. Original article published by Astral Codex Ten.