The Truth-Seeking AI Handbook

spot the lies AI tells with confidence

Journalists are under pressure to use AI, but the work still has to be correct, on-brand, and defensible. Without a clear method, you either avoid the tools or use them sloppily and lose trust. The cost shows up fast - wasted time, inconsistent quality, and avoidable risk (hallucinations, privacy leaks, and over-automation). Tasks like 'Verification checklist for text, images, audio, and video' and 'Cross-source triangulation and bias detection' become harder, not easier, when the process is fuzzy. This handbook gives you a step-by-step system you can turn directly into a chapter-by-chapter TOC: how to set goals, choose tools, write prompts that include the right context, verify outputs, and reuse templates. Expect ready-to-use checklists and artifacts for core outcomes like verification checklist for text, images, audio, and video, cross-source triangulation and bias detection, and deepfake and synthetic media red flags.

Inside this book

• Verification checklist for text, images, audio, and video
• Cross-source triangulation and bias detection
• Deepfake and synthetic media red flags
• Building a personal fact-check workflow
• Teaching these skills to teams or classrooms
• Tool setup and guardrails - data boundaries, privacy, and audit trails
• Templates you can reuse - prompts, checklists, and scoring rubrics
• Measurement - track time saved and quality improvements over 30 days

By Valentin Nagacevschi