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Welcome back, AI Geeks!

Something big is happening in AI right now. 

The race for AI Research Models is in full swing & you have no idea where it’s going.

Gone are the days of simple AI search. Today's systems can analyze dozens of sources, synthesize complex information, and deliver comprehensive reports in minutes.

Dec 2024: Google Gemini launched Google DeepMind.
Jan 2025: Perplexity has launched Deep Research
Feb 2025: ChatGPT launched Deep Research

3 months of back to back releases!

These features are fundamentally changing how we access information

📌 Quick favor? Add us to Primary/Favorites so you don't miss on such weekly deep dives (sometimes even 2/week) on the best-kept AI tools, hacks & use-cases. Let's dive in! 🚀

🧠 Think about it?

Are we getting closer to Artificial General Intelligence?
Or AGI is just past, are we marching towards Artificial Super Intelligence ?

But which platform delivers the best results? We've tested them all, analyzed their capabilities, and compiled this guide to help you navigate the new landscape of AI research tools. 👇

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🔍️ Behind the Scenes: How Deep Research Works

All these tools follow a similar approach:

1. Question analysis - AI figures out what you're really asking

2. Source gathering - Systems search across the web for relevant information

3. Information extraction - AI determines what's important from each source

4. Synthesis - The real magic: combining everything into a cohesive response

5. Citation - Tracking where information came from

The difference? How each platform balances these stages and where they focus their computational power.

💪 A Comparison of the Power Players

ChatGPT Deep Research

• Who gets it: Pro subscribers only 

• Response length: 10,000+ words for complex topics

• Sources analyzed: ~7 sources per query

• Processing time: 5-30 minutes

• Standout feature: Asks clarifying questions before starting research

• Best for: Comprehensive reports with stylistic formatting

Google Gemini Deep Research

• Available via: Google AI Studio (free trial available)

• Response length: 2,000-4,000 words

• Sources analyzed: Highest number among all platforms 100+

• Standout feature: Customizable research plan

• Best for: Broad exploration across many sources with Google Docs integration

Perplexity Search

• Response length: 300-400 words

• Sources analyzed: 34 sources in our test case

• Processing time: Significantly faster than competitors

• Standout feature: Lightning-fast results

• Best for: Quick research when you need answers now

🧪 How’s the Real-World Performance 

We asked all three platforms the same complex question about tariff impacts on the US economy and consumers. Here's what happened:

• ChatGPT: Delivered an 18-source comprehensive paper in 4 minutes that required "endless scrolling" to read

• Gemini: Provided a balanced analysis with moderate detail and direct Google Docs export

• Perplexity: Quickly processed 34 sources but delivered just a few hundred words

The fascinating part? All three reached similar conclusions despite their different approaches.

📊 By The Numbers 

🚀 Real-World Applications of Deep Research

If you are an early adopters of this and already using these tool, this is going to change the way you work:

• Connect specialists' knowledge for understanding rare medical conditions

• Research papers publishing using the citations that the AI throws

• Explore complex topics that would normally require reading dozens of articles

One user reported: "I've been trying to connect dots between different symptoms and treatments for a rare cancer. Deep research found connections that I hadn't seen before after a year of trying."

🧠 5 Minute Masterclass on Advanced AI Prompting Techniques

⛓️ Prompt Chaining: Step-by-Step Guidance 

Prompt chaining breaks complex tasks into manageable steps, with each AI response becoming input for the next prompt.This makes the AI think a loop like a human brain.

Quick Example: Creating a Business Proposal ✨

Step 1: "List 5 key challenges facing healthcare providers implementing AI diagnostics."

Output:

• Data privacy and HIPAA compliance concerns

• Integration with existing medical record systems

• Staff training and technology adoption resistance

• Algorithm transparency and explainability for medical decisions

• Liability issues when AI contributes to diagnostic decisions

Step 2: "Draft an executive summary for a consulting proposal addressing these 5 challenges."

Output: "Our specialized AI Healthcare Integration team offers comprehensive solutions to the critical challenges facing your diagnostic implementation. We provide HIPAA-compliant frameworks, seamless EHR integration protocols, customized medical staff training, explainable AI architecture, and risk management strategies that address emerging liability concerns in AI-assisted diagnoses."

Step 3: "Enhance this executive summary with specific metrics from successful case studies and a compelling call to action."

Output: "Our specialized AI Healthcare Integration team has helped 12 medical centers achieve 99.8% HIPAA compliance while reducing diagnostic time by 67%. We've integrated with all major EHR systems, achieved 94% staff adoption rates through our phased training approach, and implemented explainability protocols that satisfy both clinical and legal requirements. Our risk-sharing model has reduced liability concerns by 78% across our partner network. Schedule your confidential assessment today to receive your customized integration roadmap within 14 days."

🎯 The SIMTOM Technique: One-Shot Excellence

Create better prompts by including these elements:

• Specific: Exactly what you want 🔍

• Immediate: Clear action needed 🏃‍♀️

• Meaningful: Purpose-driven request 🎯

• Targeted: Focused on what matters 🎯

• Optimal: Structured for best results ⭐

• Motivators: Guiding the tone/approach 💪

Quick Example: Product Development Brief 📋

Basic prompt: "Give me ideas for a new fitness app."

SIMTOM prompt: "Design a detailed concept (250 words) for a fitness app targeting busy professionals ages 30-45 who have less than 30 minutes daily for exercise. Include 3 innovative features not found in current market leaders, a monetization strategy that doesn't rely on ads, specific health metrics it should track, and a psychological approach to maintain user motivation beyond the typical 3-week dropoff. Use language that balances technical precision with accessibility for non-technical stakeholders."

🔬 Complex Data Analysis Example

When analyzing market trends for investment decisions:

Chain Step 1: "Identify 5 macroeconomic indicators that would most accurately predict consumer technology spending in a post-pandemic economy. For each indicator, explain the specific causal relationship with consumer tech purchases and any lag effects typically observed."

Chain Step 2: "Create a hypothetical analysis framework that would integrate these 5 indicators into a predictive model for the smartphone market. Include specific mathematical relationships, weighting rationales, and 3 potential confounding variables that should be controlled for."

Chain Step 3: "Draft a 250-word investment thesis for the semiconductor sector based on this framework. Structure it with specific short-term (6 month) and long-term (24 month) predictions, differentiate between consumer and enterprise impacts, and include 2 contrarian perspectives that would invalidate this thesis."

🧪 Advanced Applications to Try

1.Complex Negotiations: Create a 3-step chain to develop a negotiation strategy for a major client contract, progressing from identifying leverage points to crafting counteroffers to developing specific language for terms and conditions.

2. Creative Problem-Solving: Use SIMTOM to generate unconventional solutions to a persistent business challenge by specifying psychological barriers to overcome, cross-industry inspirations to incorporate, and metrics to evaluate feasibility.

3. Strategic Planning: Combine both techniques to develop a comprehensive 18-month product roadmap that accounts for competitor movements, technology evolution, and changing consumer preferences.

🔮 What’s coming next?

This is just the beginning. In the coming months & years, you can expect to see:

• More specialized research tools for different domains

• Better handling of conflicting information

• Enhanced reasoning about expert disagreements

• More interactive research experiences

The computational requirements behind these features are massive—processing dozens of sources in minutes requires significant parallel computing power. That 5-minute wait for ChatGPT's analysis? It's because the system is doing work that would take a human researcher hours.

🏆 The Bottom Line: Which One Should You Use?

• Need the most comprehensive analysis? ChatGPT Deep Research

• Want to explore the most sources? Google Gemini

• Need answers fast? Perplexity

Or better yet, try all three for different research needs—just like we have different tools in our physical toolbox.

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Stay Curious! 🤖 
Team What’s Up in AI