NinjaAI.com

Episode Title: Let Dad Talk — AI, Free Speech, and Building in Public

Episode Date: February 25, 2026

Recording: Room Session

Episode Summary

This episode explores what happens when an individual uses AI to organize public information at scale — and institutions don’t like the result.

The core theme is simple: speech, data, and power.

Instead of arguing emotionally, this episode breaks down a workflow for turning raw documents, public records, and digital history into structured, visualized, AI-organized systems. It also addresses digital harassment, doxxing, and how easily narratives collapse when pattern recognition replaces rhetoric.

This is not about escalation. It’s about organization.

Key Topics Covered

• Building “Let Dad Talk” — a public-facing AI-organized site based entirely on public information

• The difference between reaction and documentation

• Doxxing, digital harassment, and why most people are reckless online

• AI as a pattern recognition engine, not a storytelling weapon

• Why structured truth feels threatening to institutions

• Vibe coding and real-time web building with Lovable

• Using GPT Projects for contextual cross-referencing

• Perplexity for live web research and institutional history

• Model comparison as a strategic discipline

• The shift from curated presentation to raw data orchestration

• Why creative industries react emotionally to AI instead of analytically

Core Insight

AI does not create contradictions.

It exposes them.

When you upload full datasets instead of summaries, the system identifies patterns across time, language, and claims. That shift removes narrative control from gatekeepers and redistributes it to whoever can organize information effectively.

This episode frames that shift as a structural power change — not a personal dispute.

Workflow Discussed

1. Dump raw data without over-curating.

2. Use AI to structure, cluster, and surface patterns.

3. Iterate across multiple models for perspective and accuracy.

4. Use visual builders (Lovable) as data visualizers, not just design tools.

5. Publish. Refine. Repeat.

Tools Referenced

• Lovable (AI web builder / visual data layer)

• GPT Projects (contextual reasoning and cross-reference)

• Perplexity (live web search and archival discovery)

• Manus (specialized processing workflows)

Broader Themes

• Freedom of speech in the age of AI

• Institutional resistance to structured transparency

• The psychological gap between emotion and documentation

• The democratization of investigative capability

• Why “dumping the data” is more powerful than writing arguments

Takeaway

Stop thinking like a content creator.

Start thinking like a systems architect.

When you remove friction from organization, the power dynamic changes.

This episode documents that shift in real time.