Free Prompts For Perplexity For You!

Most Reliable AI Tools Directory

Sponsored By

Hi Tech Enthusiasts, 

This edition brings you the ultimate AI starter pack. Learn how AI and ML differ, explore 30+ powerful tools from tattoo design to 3D modeling, and get five free prompts for Perplexity. We’re even adding a Hawking quote and a fun AI meme.

Let’s Dive in:

The Development Of Full Artificial Intelligence Could Spell The End Of The Human Race. It Would Take Off On It’s Own And Re-design Itself At An Ever Increasing rate. Humans, Who Are Limited By Slow Biological Evolution, Couldn’t Complete And Would Be Superseded.

STEPHEN HAWKING

Top AI Tools

Youtube Video’s

The video demonstrates how to create a professional talking avatar without recording yourself using free AI tools. By inputting text and selecting an avatar style, the tool generates realistic video presentations with lip-syncing. It’s ideal for YouTubers, educators, and marketers who want content quickly without cameras or professional setups.

  • Create a talking avatar without filming yourself.

  • Uses a free AI avatar generation tool.

  • Type your script, choose an avatar, and generate a lip-synced video.

  • Perfect for YouTubers, teachers, and businesses.

  • Saves time, avoids complex filming setups, and provides fast professional results.

P.S. Here's today's news update a concise overview of the most significant stories and in-depth analysis shaping our world.

Latest News

Key Points

  • Apple explores AI acquisitions, including talks with Perplexity, OpenAI, and Anthropic.

  • Siri’s AI revamp delayed over reliability issues, says Craig Federighi.

  • Mac revenue grows to $8.1B, boosting overall earnings and investor confidence.

  • Trump tariffs could cost Apple $900M, with threats of a 25% levy.

  • Cook highlights AI as key to Apple’s future innovation and growth strategy.

Key Points

  • White House unveils America’s AI Action Plan to boost innovation and competitiveness.

  • Focus on deregulation, infrastructure, and domestic AI supply chain development.

  • Federal funds target AI workforce training, data access, and lab automation.

  • Three Executive Orders ban biased AI, fast-track data centres, and expand AI exports.

  • Plan aims to set US AI standards, strengthen security, and reduce foreign reliance.

Prompt Resources

Free Prompts For Perplexity

1. AI & Business Transformation

Prompt:
"How are small and medium-sized businesses leveraging AI tools to improve customer experience, and what are some real-world success stories from the past year?"
Intent: Educate businesses and showcase practical AI use cases.

2. Future of Work & Skills

Prompt:
"What are the top emerging skills professionals should focus on in 2025 to stay competitive in the evolving job market?"
Intent: Career guidance and thought leadership content.

3. Sustainable Tech Innovations

Prompt:
"What are the most impactful sustainable technology trends shaping industries like energy, manufacturing, and transportation?"
Intent: Highlight eco-friendly innovation and attract sustainability-focused readers.

4. Consumer Behavior Trends

Prompt:
"How have Gen Z and Millennial shopping habits shifted in the past two years, and what should brands do to engage them effectively?"
Intent: Help marketers and businesses understand target audience changes.

5. Health & Wellness Disruption

Prompt:
"How is technology transforming mental health support, and what are the most promising digital tools and startups in this space?"
Intent: Address health-tech innovation and societal impact.

Memes For You

Guides

Purpose: Explains the differences and relationship between Artificial Intelligence (AI) and Machine Learning (ML).

AI Definition: A broad field that mimics human intelligence for tasks like decision-making, problem-solving, natural language processing, and robotics.

ML Definition: A subset of AI using algorithms and data to learn from patterns and improve task performance over time.

Differences:

  • Scope: AI is wider; ML is specialized in learning.

  • Data: ML requires large datasets, AI can be rule-based or data-driven.

  • Goals: AI focuses on mimicking human thinking; ML focuses on prediction and pattern recognition.

Use Cases:

  • AI: Self-driving cars, chatbots, NLP-based apps.

  • ML: Recommendation systems, spam filters, and facial recognition.

Outcome: AI encompasses ML both complement each other. No single “winner” as ML is a core part of AI’s functionality.

Takeaway: Understanding AI vs. ML helps professionals, tech enthusiasts, and businesses apply these technologies effectively.

REACH 150K+ READERS

Acquire new customers and drive revenue by partnering with us

Sponsor AICHIEF and reach over 100,000+ entrepreneurs, founders, software engineers, investors, etc.

If you’re interested in sponsoring us, email [email protected] with the subject “AICHIEF”.

P.S. Ready to experiment? Dive into the prompts, pick your favorite tool, and let us know what you build!

As today’s newsletter comes to a close, we hope these AI insights empower you to step into the upcoming week with clarity and ease. Don’t forget to share your favorite finds with friends, family, and colleagues! 🌿✨

For the latest AI scoops, follow us on X, LinkedIn and YouTube.

See You Soon!
TEAM AICHIEF