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btw, you know I pressed Claude for more (from post #22):
My request >>>How do you access the Deep Research button located on all of the popular GPT servers like Gemini, Chat GPT, Deep Seek, and YOU, Claude?

His response >>I need to clarify something important: there is no universal "Deep Research button" that exists across AI platforms like ChatGPT, Gemini, DeepSeek, or myself (Claude).

What Actually Exists vs. Marketing Claims
The Reality:

Each AI platform has its own separate interface and capabilities
There's no shared "Deep Research" feature or button across platforms
What Amy Harrop is selling appears to be custom prompts and methodologies, not an actual button

What Each Platform Actually Offers
ChatGPT:

Custom GPTs (ChatGPT Plus subscribers can create/access these)
Web browsing capability (can search current web)
Advanced Data Analysis (can process uploaded files)
No "Deep Research button" - just prompt-based interactions

Claude (Me):

Web search functionality (I can search and fetch web content)
Analysis capabilities (can process data and files)
Artifacts creation (can build tools and documents)
No "Deep Research button" - everything is conversational

Gemini:

Web search integration (can access current information)
Workspace integration (Google services)
No "Deep Research button"

DeepSeek:

Code and reasoning capabilities
File processing
No "Deep Research button"

How "Deep Research" Actually Works
What Amy Harrop Likely Means:

Custom prompts that you copy/paste into any AI
Structured questioning methodology that guides the AI to research systematically
Templates for organizing research output
Step-by-step workflows using AI capabilities that already exist

Example of What She's Probably Teaching:

Instead of: "Research dog training"

Her method: "Act as a market research expert. First, identify the top 5 pain points dog owners face with training. Then search for recent forum discussions about each pain point. Next, analyze what solutions currently exist and identify gaps. Finally, format this as a market opportunity report."

How You Can Do "Deep Research" Right Now

With Me (Claude):

I can search the web, analyze data, and create comprehensive research reports
Just ask me to research a topic systematically with specific instructions
I'll break it down into multiple searches and analyses

With ChatGPT:

Use web browsing mode for current data
Create custom GPTs with research-focused prompts
Upload data for analysis

With Any AI:

Use detailed, multi-step prompts
Ask for systematic analysis rather than general information
Request specific output formats (reports, lists, analyses)

The Truth About Her "Magic Button"
What she's selling is likely:

Prompt templates that work across different AIs
Research methodologies broken into step-by-step instructions
Training on how to use existing AI features more effectively
Custom GPT (ChatGPT only) with her prompts pre-loaded

There's no actual button to press - it's about knowing the right questions to ask and how to structure your requests to get better research output from AI tools that already exist.

Would you like me to demonstrate what real "deep research" looks like using my actual capabilities? I can show you how to systematically research any topic using the tools I actually have access to.
```````````````````````
And yes, Claude provided a full-blown Deep Research brief (using AI Tools, as the niche example) that is so detailed that it amounts to a step by step process of how to get started. Here is just the final, final description summary of all that went on (did you think I was going to share the valuable guts? love you, no)
`````````````````````````
Claude returned>> The "Appraisal Report" Output
Executive Summary

Market Value: Estimated TAM/SAM for your specific offering
Demand Score: 1-10 based on pain point frequency and urgency
Competition Rating: 1-10 based on market saturation
Pricing Recommendation: Suggested range with confidence intervals

Supporting Evidence

Comparable Sales: 5-10 similar products with performance data
Market Trends: Growth trajectory and seasonal patterns
Risk Factors: Potential challenges and market shifts
Opportunity Areas: Underserved segments or feature gaps

Time Sensitivity Note

Valid Until: Date when reassessment is recommended
Trigger Events: What changes would invalidate this appraisal
Update Frequency: Suggested monitoring schedule

Tools to Build This System
Data Sources

Google Trends API (search volume)
Social media APIs (sentiment, mentions)
Crunchbase API (competitor funding, launches)
Product Hunt API (new product performance)
Pricing page scrapers (competitive intelligence)

AI Processing

Claude/ChatGPT for analysis and synthesis
Custom prompts for consistent output format
Automated scheduling for regular updates

Reporting Dashboard

Real-time scoring (like a stock ticker)
Historical comparisons (market appreciation/depreciation)
Alert system (significant market changes)

The Bottom Line
Just like real estate appraisals, this gives you:

✅ Objective valuation based on current market data
✅ Time-stamped assessment with expiration date
✅ Comparable analysis to justify pricing/positioning
✅ Risk assessment highlighting potential issues
✅ Quick turnaround (6 minutes vs. weeks of manual research)

The key is treating market intelligence like real estate: location, location, location becomes timing, timing, timing in the digital marketplace.
Would you like me to help you build the specific prompts and data sources for your first "market appraisal" system?
`````````````````````````````
Me again (leading Claude into an analogy of real estate and "appraisals" gave me a format that was easily relatable). Once again, the perfect prompts are the key.

there is some especially Deep Research going on....somewhere.
if we build it and like it, we will come and buy it...
we love exquisitely-researched customizable master prompts...
Bumpesto, bumperonis, bumperaviolis. for the test of a lifetime...

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Let's give this a BIG Monday Move