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- 🥋 Can One Simple Prompt Transform Your AI Results?
🥋 Can One Simple Prompt Transform Your AI Results?
Master clarification loops while tracking major AI industry shifts
Cash Helman
June 22, 2025 • Estimated Reading Time: 4 minutes
Welcome back to Prompt Dojo.
This week we're exploring a powerful prompting technique that ensures AI truly understands your requests, diving into Meta's massive $14 billion Scale AI acquisition, and examining how federal legislation could reshape state AI laws. Ready to level up? Let's begin!
Power Prompt
Clarification Loop
Purpose: Get AI to ask targeted questions before responding, ensuring it fully understands your request for dramatically better results.
Ask me questions until you are 95% sure you understand my request, then proceed with the task.Best models: Claude Sonnet, ChatGPT, Gemini Advanced
Pro tip: This works especially well for complex projects, creative briefs, or when you're not sure how to articulate what you want. The AI becomes your thinking partner.
Try this prompt and reply with your results!
Fresh off the Mat News
Meta Acquires Scale AI for $14 Billion - Meta's $14 billion acquisition of Scale AI represents one of the biggest AI-focused deals in 2025.
Federal "Big Beautiful Bill" Could Override State AI Laws - The Big Beautiful Bill working through federal legislature includes a 10-year moratorium preventing states from enforcing laws "limiting, restricting, or otherwise regulating artificial intelligence models", potentially reshaping AI governance in the US.
Google I/O 2025 Brings 100 AI Announcements - Google announced major upgrades to Gemini 2.5 models with enhanced reasoning, Project Mariner computer use capabilities, and new AI Mode features rolling out across Search. (Definitely a must read)
Impact: Big tech is consolidating AI infrastructure, regulations may be loosening in the US, and AI features are becoming standard across all platforms. AI is now core business infrastructure.
Training Ground
Perplexity Pro vs Google AI Mode for Research Tasks
For this week, we have a matchup prepared for you. We're comparing two leading AI search platforms that excel at research-backed responses. Both tools combine search capabilities with AI reasoning, but which one delivers better results for deep research projects?
Perplexity Pro (includes Labs)
Strengths: Excellent source citation, focused research queries, follow-up question handling
Best for: Academic research, fact-checking, finding recent developments
Weaknesses: Limited creative synthesis, subscription required for best features
Price: $20/month (Pro plan)
Google AI Mode
Strengths: Comprehensive search integration, multimodal capabilities, free access
Best for: Broad exploratory research, visual content analysis, general queries
Weaknesses: Less transparent sourcing, newer with evolving features
Price: Free (with Google account)
The Verdict: Choose Perplexity Pro for citation-heavy research and academic work; choose Google AI Mode for exploratory research and when budget is a constraint.
If you have time, check out Greg Isenberg’s on Perplexity Labs and agents. It’s pretty cool.
Bottom Line: Both excel at AI-powered search, but Perplexity Pro specializes in transparent, sourceable research while Google AI Mode offers broader integration and accessibility.
Taiki’s Toolkit
Perplexity- Leading AI search with impressive search capabilities, high-quality answers, and excellent source citation, perfect for research-backed prompting strategies.
DeepSeek - Open-source reasoning model that's cost-effective and performs strongly in coding, creative writing, and logical reasoning, offering transparent AI development.
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