Opposition Research with AI

Research an opponent's record and your own in hours instead of weeks, with mandatory primary-source verification.

What this playbook covers

AI can speed research and synthesis, but primary-source verification and human political judgment remain mandatory. Use the workflow to move from a focused research question to monitored, usable findings.

Workflow steps

  1. Step 1: Set your research question and scope

    Complete this step with the relevant source material, document the decision, and keep a responsible person in the review loop before moving forward.

  2. Step 2: Pull primary-source data first

    Complete this step with the relevant source material, document the decision, and keep a responsible person in the review loop before moving forward.

  3. Step 3: Use real-time research for fact gathering

    Complete this step with the relevant source material, document the decision, and keep a responsible person in the review loop before moving forward.

  4. Step 4: Synthesize, analyze, and identify patterns

    Complete this step with the relevant source material, document the decision, and keep a responsible person in the review loop before moving forward.

  5. Step 5: Connect research to polling and messaging

    Complete this step with the relevant source material, document the decision, and keep a responsible person in the review loop before moving forward.

  6. Step 6: Prepare for debates

    Complete this step with the relevant source material, document the decision, and keep a responsible person in the review loop before moving forward.

  7. Step 7: Integrate social listening

    Complete this step with the relevant source material, document the decision, and keep a responsible person in the review loop before moving forward.

  8. Step 8: Set up continuous monitoring

    Complete this step with the relevant source material, document the decision, and keep a responsible person in the review loop before moving forward.

Quality and oversight

Verify factual claims against primary sources, respect data and tool policies, and use AI to support—not replace—human judgment, approval, and accountability.