The Startup Ideas Podcast
The best businesses are built at the intersection of emerging technology, community, and real human needs.
Three-Tool Viral Video Research Workflow
A systematic approach using Perplexity for research, Claude for concept generation and evaluation, and Sora 2 for video production to create viral content.
How It Works
Each tool serves a specific function: Perplexity provides audience psychology and trending formats, Claude generates and scores concepts, Sora 2 produces optimized video content.
Components
Define your startup and target audience psychology in Perplexity
Use Perplexity deep research to identify viral content frameworks
Transfer research to Claude for concept generation
Use Claude to evaluate concepts on hook strength, emotional trigger, and algorithm fit
Get Claude to optimize prompts specifically for Sora 2 capabilities
Produce videos in Sora 2 and iterate based on performance
When to Use
When you want to create viral video content but don't know what will resonate with your audience or how to prompt AI video tools effectively.
When Not to Use
When you already have proven video concepts that consistently perform, or when targeting very niche audiences where viral mechanics don't apply.
Anti-Patterns to Avoid
Example
“A SaaS founder wants to build an audience but doesn't know what video content will work. They research 'entrepreneurs who want cash-flowing SaaS' in Perplexity, get frameworks like 'contradiction hook' and 'micro tutorials', then use Claude to generate 10 concepts, score them, and create Sora 2 prompts for the top performers.”
Related Knowledge
Minimal Avatar Exposure Content Framework
A content creation method using AI avatars for only 3-4 seconds of video while relying heavily on B-roll and AI-generate
Capture-Maintain-Reward Attention Framework
A three-stage framework for short-form video success: capture attention in first 2 seconds, maintain it through conflict
takes you from like walking to literally tweet is 90% ready
AI can transform spontaneous voice recordings into near-finished social media content with minimal additional work
Audiences increasingly accepting of transparently disclosed AI-generated content
Content consumers are becoming more comfortable with AI-generated content when creators are open about its use, especial