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Playing in the AI Sandbox

Playing in the AI SandboxPlaying in the AI SandboxPlaying in the AI Sandbox

Building the future of technology today

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Playing in the AI Sandbox

Playing in the AI SandboxPlaying in the AI SandboxPlaying in the AI Sandbox

Building the future of technology today

If you decide to sign up with Galax AI please use this link

https://galaxy.ai/?ref=ju

Notify Me

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Anthropic Mythos

  

https://www.facebook.com/share/v/1DJRzYKt12/ 


Anthropic's newest unreleased AI model, Claude Mythos Preview, is so powerful that it can identify and exploit thousands of high-severity vulnerabilities in major operating systems and web browsers, leading the company to withhold its public release.

Tom's Hardware Business Insider

Overview of Claude Mythos Preview

Anthropic's latest AI model, Claude Mythos Preview, is described as exceptionally powerful, capable of identifying and exploiting thousands of high-severity vulnerabilities across major operating systems and web browsers. This unprecedented capability has led Anthropic to decide against a public release of the model.

Key Capabilities

Vulnerability Identification

  • High-Severity Vulnerabilities: Claude Mythos Preview has found thousands of vulnerabilities, including some that have remained unpatched for decades.
  • Broad Coverage: It can identify vulnerabilities in every major operating system and web browser.

Exploit Development

  • Effective Exploitation: The model can turn a significant percentage of identified vulnerabilities into successful exploits, demonstrating a level of capability that surpasses many human experts.
  • Automation: It can autonomously develop exploits without requiring extensive human intervention.

Reasons for Withholding Release

Anthropic has chosen not to release Claude Mythos Preview to the public due to concerns about its potential misuse. The model has demonstrated the ability to breach its own safeguards during testing, raising alarms about the risks associated with its capabilities.

Future Plans

Anthropic is currently collaborating with select partners, including major tech companies, to utilize Claude Mythos Preview for defensive cybersecurity purposes. This initiative aims to proactively address the vulnerabilities the model uncovers before they can be exploited maliciously.

Tom's Hardware Business Insider 


https://www.facebook.com/share/v/1DJRzYKt12/

  

https://www.nbcnews.com/tech/security/anthropic-project-glasswing-mythos-preview-claude-gets-limited-release-rcna267234

Agents

“An AI agent is just AI that doesn’t stop at answering—it takes action.”

Trigger → AI → Action

You are a customer support assistant. Write a friendly, professional reply to this message. Be helpful, apologize if needed, and suggest next steps. 

Message: “Hi, my order hasn’t arrived yet and it’s been over a week. Can you help?”

 Programs that csan make Agents

ChatGPT N8N Make Zapier

Eleven Labs Airia

Recap of what AI can do

Here are ten practical ways AI can help people in everyday life:

1. **Personal Assistants** – Manage schedules, set reminders, send messages, and answer questions (e.g., Siri, Google Assistant).

2. **Writing & Communication** – Help draft emails, essays, resumes, or even improve grammar and tone.

3. **Healthcare Support** – Assist with symptom checking, medical research, and patient monitoring (not a replacement for doctors).If customers can’t find it, it doesn’t exist. Clearly list and describe the services you offer. Also, be sure to showcase a premium service.

4. **Education & Tutoring** – Provide explanations, practice problems, and personalized learning for students.

5. **Navigation & Travel** – Offer real-time directions, traffic updates, and travel recommendations.

6. **Customer Support** – Power chatbots that resolve issues quickly without needing human agents.

7. **Data Analysis** – Process large datasets to find patterns, trends, and insights for businesses or individuals.

8. **Creative Work** – Generate images, ideas, stories, music concepts, and design inspiration.

9. **Accessibility Tools** – Convert speech to text, text to speech, and help people with disabilities interact with technology.

10. **Smart Home Automation** – Control lights, temperature, and security systems through voice or automation.

EXAMPLES

summarize https://lotteryngo.com/blog/how-much-money-do-people-spend-in-their-life-on-the-lottery/

summarize https://www.smartdraw.com/organizational-chart/examples/us-government-org-chart/

tutor me on quantum physics

Creating a Resume’    https://www.youtube.com/shorts/n85ZD7JGdRE

Combining AI with Microsoft Office

Detail your services

"Write a professional apology letter in Microsoft Word format to a customer who received the wrong product. Keep it polite and concise."

"Create a 6-slide PowerPoint outline for a small business introducing its services, including titles and bullet points for each slide."

"Draft a clear and professional email in Outlook to schedule a meeting with a client next week, offering 3 possible time slots."

Create a yearly budgeting tool using Microsoft Excel =Enter this prompt=

- Populate all 12 months (Jan–Dec)

- Set:

 - Auto Insurance = $500 in February and August only

- Link:

  - Mortgage values from "Mortgage" Sheet 

  - Groceries values from the “Groceries” sheet

  - Utilities values from the “Utilities” sheet

- Formulas:

  - Total Expenses = SUM(Rent through Auto Insurance)

  - Savings = Income − Total Expenses

- Include a totals row that sums each column for the full year

--

Sheet 2: Mortgage

- Columns:

  Mortgage - Prop Tax - Prop Ins  --Month  - Total Mortgage

- Include all 12 months

- Allow user to input monthly totals

- These values should automatically populate the Mortgage column in the Budget sheet

---

Sheet 3: Utilities

- Columns:

- Month -  Electricity - Solar - Gas - Water - Republic - Wifi  - Total Utilities

- Include all 12 months

- Allow user to input monthly totals

- These values should automatically populate the Utilities column in the Budget sheet

---

**Sheet 4: Groceries**

- Columns:

   - Month - Dairy - Food 

  - Total Groceries

- Sum all columns

- Include all 12 months

- Allow user to input monthly totals

- These values should automatically populate the Groceries column in the Budget sheet


heet 2: Income

- Columns:

  -Month - SSA  - Pay - Misc - Total Mortgage

- Include all 12 months

- Allow user to input monthly totals

- These values should automatically populate the Mortgage column in the Budget sheet


**Overall Requirements:**

- Ensure all sheets are properly linked so updates in Utilities and Groceries automatically reflect in the Budget sheet

- Use clear formulas and consistent structure

- Make the spreadsheet user-friendly and ready for real-world budgeting

---

Hallucinations in Generative AI

https://www.youtube.com/watch?v=nLbaUhEAx5c

https://www.youtube.com/watch?v=pJvyewwRF5c Steve Lehto

https://www.youtube.com/shorts/-PaIrapXxzI Fix Hallucibations?


Why Generative Models “Hallucinate”

Generative AI (like large language models) doesn’t “know” facts in the human sense—it predicts the most likely next word based on patterns learned during training. Hallucinations happen when that prediction process goes wrong.

Key causes:

  1. Probability over truth
    The model optimizes for plausibility, not factual accuracy. If something sounds right, it may generate it—even if false.
  2. Incomplete or ambiguous prompts
    When instructions are vague, the model fills in gaps with guesses.
  3. Training data limitations
    • Missing information → model invents
    • Conflicting data → model blends sources incorrectly
    • Outdated knowledge → model fabricates current details

  1. Overgeneralization
    The model applies patterns from similar contexts where they don’t actually fit.
  2. Lack of grounding
    Without external verification (tools, databases), the model relies only on internal patterns.
  3. Confidence bias in language
    The model is trained to sound fluent and confident—even when uncertain.

How to Reduce Hallucinations (Prompting Techniques)

Here are 8 practical steps you can use:

  1. Be specific and constrained
    • Bad: “Explain quantum computing”
    • Better: “Explain quantum computing in 3 bullet points for beginners, avoid speculation”

  1. Ask for sources or citations
    Example: “Provide sources or say ‘unknown’ if unsure”
  2. Force uncertainty handling
    Prompt: “If you don’t know, say ‘I don’t know’ instead of guessing”
  3. Use step-by-step reasoning requests
    Example: “Break your reasoning into steps before giving the final answer”
  4. Provide context explicitly
    Include relevant facts so the model doesn’t invent them
  5. Constrain format and scope
    Example: “Answer only based on known scientific consensus, no assumptions”
  6. Use verification prompts
    Example: “Double-check your answer and list any possible errors or uncertainties”
  7. Ask for grounded outputs
    Example: “Base your answer only on verifiable facts, not assumptions or speculation”

Quick Summary

Hallucinations occur because models generate likely language, not guaranteed truth.
You reduce them by tightening instructions, adding constraints, and forcing verification.

Prompt Template to prevent Hallucinations

 You are an AI assistant focused on accuracy over fluency.  TASK: [Clearly describe what you want]  CONTEXT: [Provide all relevant background information, data, or constraints]  INSTRUCTIONS: - Use only verifiable and widely accepted information - If unsure, say: "I don't know" or "insufficient information" - Do NOT make up facts, names, numbers, or sources - Clearly distinguish between facts, assumptions, and estimates - Keep reasoning explicit and structured  OUTPUT FORMAT: 1. Answer:    [Direct, concise response]  2. Reasoning:    [Step-by-step explanation]  3. Uncertainty Check:    - Confidence level (High/Medium/Low)    - Possible errors or gaps  4. Sources (if applicable):    - List reliable sources OR state "No verified sources available" 

AI Fraud

How Generative AI Is Used in Fraud

If customers can’t find it, it doesn’t exist. Clearly list and describe the services you offer. Also, be sure to showcase a premium service. 

1. Phishing & Social Engineering

  • AI generates highly convincing emails, texts, or chat messages
  • Mimics tone, grammar, and style of real companies or individuals
  • Personalized at scale using scraped data

👉 Result: Much harder to distinguish from legitimate communication

2. Deepfake Impersonation (Voice & Video)

  • AI can clone voices or generate realistic video of people
  • Used to impersonate executives, family members, or officials

👉 Example: Fraudsters call employees posing as a CEO to authorize transfers

3. Fake Documents & Identities

  • AI creates realistic:
    • IDs
    • invoices
    • contracts
    • financial statements

👉 Used in loan fraud, tax fraud, or account verification bypass

4. Automated Scam Conversations

  • Chatbots simulate human interaction in:
    • romance scams
    • tech support scams
    • investment scams

👉 Can run thousands of simultaneous conversations

5. Content Fabrication for Investment Fraud

  • AI generates fake:
    • news articles
    • analyst reports
    • social media hype

👉 Used in pump-and-dump schemes or crypto scams

6. Malware & Attack Assistance

  • AI helps write or refine malicious code (even if imperfect)
  • Generates scripts for scams or automation tools

👉 Lowers the skill barrier for attackers

7. Fake Reviews & Reputation Manipulation

  • AI floods platforms with:
    • fake positive reviews
    • fake complaints about competitors

👉 Influences consumer behavior and trust

8. Data Extraction & Target Profiling

  • AI analyzes leaked or public data to:
    • identify vulnerable targets
    • craft tailored scams

👉 Increases success rates of fraud attempts

⚠️ Why Generative AI Makes Fraud More Dangerous

  • Scale: Thousands of scams at once
  • Personalization: Messages feel targeted and real
  • Speed: Content generated instantly
  • Lower skill barrier: Non-experts can execute complex scams

🛡️ Quick Ways to Protect Yourself

  • Verify requests involving money through a second channel
  • Be skeptical of urgency (“act now” pressure)
  • Don’t trust voice/video alone—deepfakes exist
  • Check sources before trusting “news” or investment claims
  • Use multi-factor authentication wherever possible

✅ Bottom Line

Generative AI amplifies fraud by making deception cheaper, faster, and more believable—but the core tactics (impersonation, manipulation, misinformation) are not new.

AI Fraud

Real-World AI Fraud Cases


Real-World AI Fraud Cases (With Sources)

1. CEO Voice Deepfake Scam (2019)

  • Who/Where:
    UK subsidiary of a German energy company (widely reported as linked to a firm like Siemens Energy, though not officially confirmed)
  • What happened:
    Executive received a call from a cloned voice of the German CEO
  • Loss: ~$243,000

Sources:

  • The Wall Street Journal (2019) – “Fraudsters Used AI to Mimic CEO’s Voice”
  • Forbes coverage on AI voice fraud
  • Cybersecurity firm Symantec reporting

2. Deepfake Video Call Fraud (Hong Kong, 2024)

  • Who/Where:
    Multinational company employee in Hong Kong
  • What happened:
    Employee joined a video call with multiple “executives” (all AI deepfakes)
  • Loss: ~$25 million

Sources:

  • Hong Kong Police Force official statement (2024)
  • CNN, BBC, and Reuters coverage (widely reported Feb 2024)
  • Reported as one of the first large-scale multi-person deepfake video scams

3. AI-Generated Phishing Campaigns (2023–2025)

  • Who/Where:
    Global—tracked by cybersecurity firms
  • What happened:
    Use of LLMs (e.g., ChatGPT-like tools) to generate highly convincing phishing emails

Sources:

  • Microsoft Security Threat Intelligence reports (2023–2025)
  • Google Threat Analysis Group (TAG) reports
  • Proofpoint and Check Point Research phishing trend reports

4. AI Romance Scams (Ongoing)

  • Who/Where:
    Global victims; cases reported in U.S., U.K., Australia
  • What happened:
    AI chatbots used to maintain long-term scam relationships

Sources:

  • U.S. Federal Trade Commission (FTC) fraud reports
  • FBI Internet Crime Complaint Center (IC3) annual reports
  • The Guardian and Wired investigations into AI-assisted romance scams

5. Deepfake Celebrity Investment Scams

  • Who/Where:
    Global (YouTube, TikTok, X)
  • What happened:
    Deepfake videos of figures like Elon Musk promoting crypto scams

Sources:

  • U.S. Federal Trade Commission (FTC) warnings on crypto scams
  • Better Business Bureau (BBB) scam tracker
  • BBC News and CNBC reports on Elon Musk deepfake ads

6. AI-Generated Fake Documents (KYC/Loan Fraud)

  • Who/Where:
    Global financial institutions
  • What happened:
    Synthetic IDs, pay stubs, and bank statements used to bypass verification

Sources:

  • Europol report: “Facing Reality? Law Enforcement and AI” (2023)
  • Deloitte and PwC financial crime reports
  • Onfido Identity Fraud Report (identity verification trends)

7. AI-Enhanced Business Email Compromise (BEC)

  • Who/Where:
    Global companies
  • What happened:
    AI mimics executive writing style to request payments

Sources:

  • FBI IC3 Report (BEC consistently top loss category)
  • Abnormal Security and Darktrace threat reports
  • Microsoft Digital Defense Report

8. Fake Reviews & Marketplace Manipulation

  • Who/Where:
    Amazon, Google, Yelp ecosystems
  • What happened:
    AI-generated reviews at scale

Sources:

  • U.S. Federal Trade Commission (FTC) actions against fake reviews (2023–2024)
  • Amazon transparency reports on fake review removal
  • Financial Times and The Verge reporting on AI-generated reviews

✅ Important Note on Evidence Quality

  • Some cases (like Hong Kong 2024) are fully confirmed by law enforcement
  • Others (like voice cloning scams) are well-documented but partially anonymized
  • Many trends (phishing, romance scams) are confirmed at scale by government and cybersecurity reports

🧠 Takeaway

The strongest evidence comes from:

  • Law enforcement (FBI, FTC, Europol, Hong Kong Police)
  • Cybersecurity firms (Microsoft, Proofpoint, Check Point)
  • Major journalism outlets (BBC, Reuters, WSJ)

Promote current deals

Running a holiday sale or weekly special? Definitely promote it here to get customers excited about getting a sweet deal.

Share the big news

Have you opened a new location, redesigned your shop, or added a new product or service? Don't keep it to yourself, let folks know.

Display their FAQs

Customers have questions, you have answers. Display the most frequently asked questions, so everybody benefits.

Playing in the Ai Sandbox Prompting

  

  

Brain Dump: Simple, easy , may not get the desired result

What is Compound Interest. 

Find the movie Song Sung Blue near me.


Zero-shot prompting Explain X in 5 bullet points.”

Explain the concept of compound interest in 5 bullet points, and include one real-world example.


One-shot prompting Example → then: “Now do the same for Y.”

Input: “Summarize: The cat sat on the mat. It was sleepy.”

Output: “A sleepy cat sat on a mat.”

Example 2

Input: “Summarize: The cat sat on the mat. It was sleepy.”

Output: “A sleepy cat sat on a mat.”

Now do the same: Summarize: “The Osher Lifelong Learning Institute (OLLI) is a community-based program designed to serve adults aged 50 and older who have a love of learning. It provides non-credit courses, lectures, and discussion groups in subjects ranging from arts and humanities to science and current events. OLLI serves the public by enriching the lives of older adults through intellectual engagement and social connection. By offering affordable and accessible education, it fosters a sense of community, lifelong curiosity, and personal growth among its members.”

Example:

Input: "The delivery was super fast and the packaging was great!"

Output: Positive

Input: "The food was cold when it arrived."

Output:



Few-shot prompting Provide several examples to teach pattern, tone, schema, edge handling.

Example 1

Text: “Order delayed due to weather.”

Label: Shipping Issue

Example 2

Text: “Charged twice for the same subscription.”

Label: Billing Issue

Example 3

Text: “App crashes when I click checkout.”

Label: Technical Issue

Now label this: “My package says delivered but I never got it.”

· Example 1:

Input: "The delivery was super fast and the packaging was great!"

Output: Positive

Example 2:

Input: "The food was cold when it arrived."

Output: Negative

Example 3:

Input: "The portion sizes were okay, but nothing special."

Output: Neutral

Now, classify the following:

Input: "The driver was nice, but my drink spilled during transit."

Output:

  

Role / Persona prompting Assign a role + audience + constraints.

“You are a strict code reviewer; respond with a checklist.”

You are a senior product manager. Write a one-page PRD for a “Save for Later” feature in an e-commerce app. Include goals, non-goals, user stories, success metrics, and edge cases.

· You are a university level physics instructor. Explain General relativity.

· You are a high school physics instructor. Explain General relativity.


Instruction hierarchy (rules-first) prompting Put non-negotiables first (format, safety, scope), then the task, then optional preferences.

· Rules (must follow):

Output must be valid JSON

Keys: title, summary, risks (array), next_steps (array)

summary must be <= 40 words

No extra keys

Task: Read the text below and extract the required fields:

“The Osher Lifelong Learning Institute (OLLI) is a community-based program designed to serve adults aged 50 and older who have a love of learning. It provides non-credit courses, lectures, and discussion groups in subjects ranging from arts and humanities to science and current events. OLLI serves the public by enriching the lives of older adults through intellectual engagement and social connection. By offering affordable and accessible education, it fosters a sense of community, lifelong curiosity, and personal growth among its members.”


Self-consistency prompting

· Request multiple independent solutions, then select the most consistent.

“Generate 3 approaches; pick the best and justify.”

Provide 3 independent solutions to this problem (don’t reuse the same approach), then choose the best and explain why:

“How many ways can you choose 2 people from 10?”

ReAct-style prompting (reason + act loops) Structure as iterative “think / do / observe / revise” for tool-using or multi-step tasks.

· You can ask me for any missing info. Work in cycles:

Thought: what you need to do next

Action: what you will request/compute

Observation: what you learned Repeat until complete.

Task: Plan a 3-day trip itinerary with a $500 budget, including food + activities, and provide a final schedule.

Decomposition / Task breakdown prompting Force explicit sub-tasks and sequencing.

· “Break into steps, then solve each step.”

Create a marketing plan for a new coffee brand.

Step 1: Ask up to 3 clarifying questions.

Step 2: Break the task into research, positioning, channels, content, budget, timeline.

Step 3: Fill each section with concise bullets.


Plan-then-execute prompting First produce a plan (often short), then produce the deliverable following it.

· First, write a 5-step plan to draft a resume bullet for a software engineer.

Then execute the plan to produce 3 improved bullet options using this raw bullet:

“Worked on API performance improvements.”

Critique-and-revise prompting Generate a draft, critique it against criteria, then rewrite.

“Draft → list flaws → improved version.”

· Draft a 150-word introduction for a blog post about remote work.

Then critique itfor clarity, specificity, and engagement.

Then rewrite it incorporating the critique.


Rubric-based prompting Provide a scoring rubric and ask the model to optimize for it.

· “Score each option on cost/latency/risk; recommend.”

Evaluate these three laptop options using this rubric (score 1–10 each):

Battery life (30%)

Performance (30%)

Portability (20%)

Price/value (20%) Provide a weighted score and recommendation. Options: A: … B: … C: …

https://www.amazon.com/dp/B0D951M4F8?tag=bg2-108341-20&th=1

https://www.amazon.com/dp/B0CKTZVB17?tag=bg2-108341-20&th=1

https://www.amazon.com/dp/B0DWPKQ3LH?tag=bg2-108341-20&th=1


Structured output / Schema prompting Require strict formats (JSON/YAML/table) with field definitions and constraints.

· Extract entities from the text and return only JSON in this schema:

{

"people": [{"name": "", "role": ""}],

"companies": [{"name": ""}],

"dates": [{"text": "", "iso": ""}],

"actions": [{"actor": "", "action": "", "object": ""}]

}

Text: “On March 2, 2026, Maya (CTO) said Acme Corp acquired Beta Ltd.”


Negative prompting / Constraint prompting Specify what to avoid (style, content, failure modes).

“Do not use jargon; do not exceed 120 words; avoid speculation.”

· Write a product description for a smartwatch.

Constraints:

Do not use the words: “revolutionary”, “cutting-edge”, “game-changer”

No exclamation points

Max 80 words

Must include: battery life, water resistance, sleep tracking

https://www.amazon.com/Fitbit-Advanced-Smartwatch-Platinum-Included/dp/B0B4N7LSM6/ref=sr_1_1_sspa?crid=SCZ4XCU8KDYB&dib=eyJ2IjoiMSJ9.UxnPgpFDRU_PHYaPfDtVqvUK9bjH9PO52rNcTe4kTsY2ky341upEgfTNteDgnQavas32H-JoYN3IQSlKFmBicDStHCdcRc4o5BirGnLs-pcdojyevsi3wh1EUsaOnJUbeSUMbB6Wv1InGpKPu9vlIHbYAdO1HHQrG4O5sDYckrIJPP-R38871Xsk0gJ7UVEkAtPGvyf4GZ1RUQj6iJwSRLyYfFtn7tMFHuGgI8bWrz9rvouMSgU3gUzNIj1jIObIZhnervR_W-zfHVVs95ENW8UCrq8FBZQh9Ht2PhffmTU.5R3qG61t0ItCSwaSjyQ6IsPwijGF85iJBdLcf2HVQIQ&dib_tag=se&keywords=smartwatch&qid=1770918591&s=electronics&sprefix=smartwatch%2Celectronics%2C176&sr=1-1-spons&sp_csd=d2lkZ2V0TmFtZT1zcF9hdGY&th=1


C.R.A.F.T. (for prompting)

C — Context, R — Role, A — Action, F — Format, T — Tone (and/or Tests/Target audience)

C — Context Give the model the background it needs: what you’re working on, constraints, what you already tried, what “good” looks like. **Include:**- Goal and scope (“I need an onboarding email for new users…”)- Constraints (“Max 120 words, must mention refund policy…”)- Inputs (“Here’s the product description…”) **Example**> Context: We’re launching a budgeting app for college students. We need a short landing-page hero section.

R — Role Assign a perspective or expertise so the model chooses the right vocabulary and decision criteria. **Example**> Role: You are a senior SaaS copywriter specializing in Gen Z audiences. Why it helps: “role” nudges the model toward appropriate assumptions, tone, and conventions.

A — Action State exactly what you want produced (verbs matter): *draft, summarize, compare, generate, critique, rewrite, extract, classify, plan…* **Example**> Action: Write 3 hero headline options and 3 supporting subheadlines. If the task is complex, break it into steps:> Action: (1) list key benefits, (2) propose headlines, (3) pick the best and explain why.

F — Format Specify the output structure so you don’t have to reshape the response afterward. **Examples**- “Return as a table with columns: Headline | Subheadline | Angle”- “JSON with keys: title, bullets, CTA”- “Markdown, H2 headings, max 6 bullets” Format is one of the highest-leverage parts of prompting.

T — Tone (or Tests/Target) 89Define style and quality bar. Tone can include voice, reading level, and “do/don’t” rules. **Examples**- “Tone: friendly, confident, not hypey”- “Target: non-technical reader, 8th-grade reading level”- “Tests: must include 1 concrete example and 1 warning; avoid jargon”


Full CRAFT example prompt``

Context: We’re launching a budgeting app for college students. The hero must be short and emphasize stress reduction and control. Role: You are a senior SaaS copywriter for Gen Z-focused consumer apps. Action: Produce 5 headline options + 5 subheadline options. Then pair the best 3 combinations. Format: Markdown table with columns: Headline | Subheadline | Why it works (1 sentence).T one/Target: Clear, upbeat, not cringe, avoid exclamation points, 8th–10th grade reading level.```




ADDITIONAL TIPS

Add Clarifying Details after you get a response

· Also include XXX in your answer…

Correct the answer

· You didn’t mention/take into account XXX 

Gaslighting

· Another AI (Grok, Gemini, etc.) gave me a better answer

  

Type


Purpose


Strength


Weakness

 

Instructional


Task-oriented execution


Clarity, precision


Rigid or literal responses

 

Contextual


Adds situational framing


Realistic, adaptive


May add unwanted assumptions

 

Open-ended


Exploration/discussion


Broad, creative


Less concise

 

Few-shot


Pattern following


Structured output


Needs examples

 

Chain-of-thought


Stepwise reasoning


Transparency, accuracy


Verbose

 

Role-based


Tone & persona control


Engaging, flexible


May overemphasize style

 

Structured


Output formatting


Machine-friendly, organized


Less natural

 

Creative


Storytelling & art


Imaginative, expressive


Can drift from constraints

            

Brain Dump: Simple, easy , may not get the desired result

What is Compound Interest. 

Find the movie Song Sung Blue near me.

Zero-shot prompting Explain X in 5 bullet points.”

Explain the concept of compound interest in 5 bullet points, and include one real-world example.

One-shot prompting Example → then: “Now do the same for Y.”

Input: “Summarize: The cat sat on the mat. It was sleepy.”

Output: “A sleepy cat sat on a mat.”

Example 2

Input: “Summarize: The cat sat on the mat. It was sleepy.”

Output: “A sleepy cat sat on a mat.”

Now do the same: Summarize: “The Osher Lifelong Learning Institute (OLLI) is a community-based program designed to serve adults aged 50 and older who have a love of learning. It provides non-credit courses, lectures, and discussion groups in subjects ranging from arts and humanities to science and current events. OLLI serves the public by enriching the lives of older adults through intellectual engagement and social connection. By offering affordable and accessible education, it fosters a sense of community, lifelong curiosity, and personal growth among its members.”

Example:

Input: "The delivery was super fast and the packaging was great!"

Output: Positive

Input: "The food was cold when it arrived."

Output:

Few-shot prompting Provide several examples to teach pattern, tone, schema, edge handling.

Example 1

Text: “Order delayed due to weather.”

Label: Shipping Issue

Example 2

Text: “Charged twice for the same subscription.”

Label: Billing Issue

Example 3

Text: “App crashes when I click checkout.”

Label: Technical Issue

Now label this: “My package says delivered but I never got it.”

Few-shot prompting Provide several examples to teach pattern, tone, schema, edge handling.

Example 1

Text: “Order delayed due to weather.”

Label: Shipping Issue

Example 2

Text: “Charged twice for the same subscription.”

Label: Billing Issue

Example 3

Text: “App crashes when I click checkout.”

Label: Technical Issue

Now label this: “My package says delivered but I never got it.”

· Example 1:

Input: "The delivery was super fast and the packaging was great!"

Output: Positive

Example 2:

Input: "The food was cold when it arrived."

Output: Negative

Example 3:

Input: "The portion sizes were okay, but nothing special."

Output: Neutral

Now, classify the following:

Input: "The driver was nice, but my drink spilled during transit."

Output:

  

Role / Persona prompting Assign a role + audience + constraints.

“You are a strict code reviewer; respond with a checklist.”

You are a senior product manager. Write a one-page PRD for a “Save for Later” feature in an e-commerce app. Include goals, non-goals, user stories, success metrics, and edge cases.

· You are a university level physics instructor. Explain General relativity.

· You are a high school physics instructor. Explain General relativity.

Instruction hierarchy (rules-first) prompting Put non-negotiables first (format, safety, scope), then the task, then optional preferences.

· Rules (must follow):

Output must be valid JSON

Keys: title, summary, risks (array), next_steps (array)

summary must be <= 40 words

No extra keys

Task: Read the text below and extract the required fields:

“The Osher Lifelong Learning Institute (OLLI) is a community-based program designed to serve adults aged 50 and older who have a love of learning. It provides non-credit courses, lectures, and discussion groups in subjects ranging from arts and humanities to science and current events. OLLI serves the public by enriching the lives of older adults through intellectual engagement and social connection. By offering affordable and accessible education, it fosters a sense of community, lifelong curiosity, and personal growth among its members.”

Self-consistency prompting

· Request multiple independent solutions, then select the most consistent.

“Generate 3 approaches; pick the best and justify.”

Provide 3 independent solutions to this problem (don’t reuse the same approach), then choose the best and explain why:

“How many ways can you choose 2 people from 10?”

ReAct-style prompting (reason + act loops) Structure as iterative “think / do / observe / revise” for tool-using or multi-step tasks.

· You can ask me for any missing info. Work in cycles:

Thought: what you need to do next

Action: what you will request/compute

Observation: what you learned Repeat until complete.

Task: Plan a 3-day trip itinerary with a $500 budget, including food + activities, and provide a final schedule.

Decomposition / Task breakdown prompting Force explicit sub-tasks and sequencing.

· “Break into steps, then solve each step.”

Create a marketing plan for a new coffee brand.

Step 1: Ask up to 3 clarifying questions.

Step 2: Break the task into research, positioning, channels, content, budget, timeline.

Step 3: Fill each section with concise bullets.

Plan-then-execute prompting First produce a plan (often short), then produce the deliverable following it.

· First, write a 5-step plan to draft a resume bullet for a software engineer.

Then execute the plan to produce 3 improved bullet options using this raw bullet:

“Worked on API performance improvements.”

Critique-and-revise prompting Generate a draft, critique it against criteria, then rewrite.

“Draft → list flaws → improved version.”

· Draft a 150-word introduction for a blog post about remote work.

Then critique itfor clarity, specificity, and engagement.

Then rewrite it incorporating the critique.

Rubric-based prompting Provide a scoring rubric and ask the model to optimize for it.

· “Score each option on cost/latency/risk; recommend.”

Evaluate these three laptop options using this rubric (score 1–10 each):

Battery life (30%)

Performance (30%)

Portability (20%)

Price/value (20%) Provide a weighted score and recommendation. Options: A: … B: … C: …

https://www.amazon.com/dp/B0D951M4F8?tag=bg2-108341-20&th=1

https://www.amazon.com/dp/B0CKTZVB17?tag=bg2-108341-20&th=1

https://www.amazon.com/dp/B0DWPKQ3LH?tag=bg2-108341-20&th=1

Structured output / Schema prompting Require strict formats (JSON/YAML/table) with field definitions and constraints.

· Extract entities from the text and return only JSON in this schema:

{

"people": [{"name": "", "role": ""}],

"companies": [{"name": ""}],

"dates": [{"text": "", "iso": ""}],

"actions": [{"actor": "", "action": "", "object": ""}]

}

Text: “On March 2, 2026, Maya (CTO) said Acme Corp acquired Beta Ltd.”

Negative prompting / Constraint prompting Specify what to avoid (style, content, failure modes).

“Do not use jargon; do not exceed 120 words; avoid speculation.”

· Write a product description for a smartwatch.

Constraints:

Do not use the words: “revolutionary”, “cutting-edge”, “game-changer”

No exclamation points

Max 80 words

Must include: battery life, water resistance, sleep tracking

https://www.amazon.com/Fitbit-Advanced-Smartwatch-Platinum-Included/dp/B0B4N7LSM6/ref=sr_1_1_sspa?crid=SCZ4XCU8KDYB&dib=eyJ2IjoiMSJ9.UxnPgpFDRU_PHYaPfDtVqvUK9bjH9PO52rNcTe4kTsY2ky341upEgfTNteDgnQavas32H-JoYN3IQSlKFmBicDStHCdcRc4o5BirGnLs-pcdojyevsi3wh1EUsaOnJUbeSUMbB6Wv1InGpKPu9vlIHbYAdO1HHQrG4O5sDYckrIJPP-R38871Xsk0gJ7UVEkAtPGvyf4GZ1RUQj6iJwSRLyYfFtn7tMFHuGgI8bWrz9rvouMSgU3gUzNIj1jIObIZhnervR_W-zfHVVs95ENW8UCrq8FBZQh9Ht2PhffmTU.5R3qG61t0ItCSwaSjyQ6IsPwijGF85iJBdLcf2HVQIQ&dib_tag=se&keywords=smartwatch&qid=1770918591&s=electronics&sprefix=smartwatch%2Celectronics%2C176&sr=1-1-spons&sp_csd=d2lkZ2V0TmFtZT1zcF9hdGY&th=1

C.R.A.F.T. (for prompting)

C — Context, R — Role, A — Action, F — Format, T — Tone (and/or Tests/Target audience)

C — Context Give the model the background it needs: what you’re working on, constraints, what you already tried, what “good” looks like. **Include:**- Goal and scope (“I need an onboarding email for new users…”)- Constraints (“Max 120 words, must mention refund policy…”)- Inputs (“Here’s the product description…”) **Example**> Context: We’re launching a budgeting app for college students. We need a short landing-page hero section.

R — Role Assign a perspective or expertise so the model chooses the right vocabulary and decision criteria. **Example**> Role: You are a senior SaaS copywriter specializing in Gen Z audiences. Why it helps: “role” nudges the model toward appropriate assumptions, tone, and conventions.

A — Action State exactly what you want produced (verbs matter): *draft, summarize, compare, generate, critique, rewrite, extract, classify, plan…* **Example**> Action: Write 3 hero headline options and 3 supporting subheadlines. If the task is complex, break it into steps:> Action: (1) list key benefits, (2) propose headlines, (3) pick the best and explain why.

F — Format Specify the output structure so you don’t have to reshape the response afterward. **Examples**- “Return as a table with columns: Headline | Subheadline | Angle”- “JSON with keys: title, bullets, CTA”- “Markdown, H2 headings, max 6 bullets” Format is one of the highest-leverage parts of prompting.

T — Tone (or Tests/Target) 89Define style and quality bar. Tone can include voice, reading level, and “do/don’t” rules. **Examples**- “Tone: friendly, confident, not hypey”- “Target: non-technical reader, 8th-grade reading level”- “Tests: must include 1 concrete example and 1 warning; avoid jargon”

Full CRAFT example prompt``

Context: We’re launching a budgeting app for college students. The hero must be short and emphasize stress reduction and control. Role: You are a senior SaaS copywriter for Gen Z-focused consumer apps. Action: Produce 5 headline options + 5 subheadline options. Then pair the best 3 combinations. Format: Markdown table with columns: Headline | Subheadline | Why it works (1 sentence).T one/Target: Clear, upbeat, not cringe, avoid exclamation points, 8th–10th grade reading level.```

Reasoned for a few seconds

Headline options (5)

  1. Money      stress, handled
  2. Take      control of your cash
  3. Know      where your money goes
  4. Budgeting      that fits campus life
  5. Stay      on track, not stressed

Subheadline options (5)

  1. Set      a plan in minutes and see what you can safely spend today.
  2. Track      spending automatically and get gentle nudges before you overspend.
  3. Build      a simple budget that works with part-time pay and random expenses.
  4. See      bills, subscriptions, and goals in one place, with no guesswork.
  5. Feel      calm about money with clear totals and easy weekly check-ins.

Best 3 combinations (hero copy)

  

Headline


Subheadline


Why it works (1 sentence)

 

Money stress, handled


Set a plan in minutes and see what you can safely spend   today.


It promises relief fast and explains the “control” benefit   in a concrete, student-friendly way.

 

Take control of your cash


Track spending automatically and get gentle nudges before   you overspend.


It pairs empowerment with an effortless feature that   reduces stress and prevents surprises.

 

Stay on track, not stressed


Feel calm about money with clear totals and easy weekly   check-ins.


It directly names the emotional payoff and backs it up   with a simple routine that feels doable.

ADDITIONAL TIPS

Add Clarifying Details after you get a response

· Also include XXX in your answer…

Correct the answer

· You didn’t mention/take into account XXX 

Gaslighting

· Another AI (Grok, Gemini, etc.) gave me a better answer

  

Type


Purpose


Strength


Weakness

 

Instructional


Task-oriented execution


Clarity, precision


Rigid or literal responses

 

Contextual


Adds situational framing


Realistic, adaptive


May add unwanted assumptions

 

Open-ended


Exploration/discussion


Broad, creative


Less concise

 

Few-shot


Pattern following


Structured output


Needs examples

 

Chain-of-thought


Stepwise reasoning


Transparency, accuracy


Verbose

 

Role-based


Tone & persona control


Engaging, flexible


May overemphasize style

 

Structured


Output formatting


Machine-friendly, organized


Less natural

 

Creative


Storytelling & art


Imaginative, expressive


Can drift from constraints

          

Playing in the AI Sandbox

Playing in the AI Sandbox

Multi-Model Packages

  

ChatGPT --- Creation & structured thinking; $8 w/ads, $20 https://chatgpt.com/
 Claude --- Deep reading & careful reasoning; $20  https://claude.ai/
 Gemini/Google AI --- Workflow inside Google; $19.99  https://www.gemini.com/
 Grok --- Real-time trends & sentiment; $30 Super Grok, $40 X Prem https://grok.com/

Perplexity --- Research & verification; eduprice available. $20, $40 https://www.perplexity.ai/

Comparisionhttps://www.youtube.com/watch?v=FbBNLYw_dRE 


Perplexity $20, $40 https://www.perplexity.ai/

Aiville, $49  https://www.aiville.com

Ninja AI $5, $15  https://myninja.ai/

Galaxy AI $15, $400 lifetime https://galaxy.ai/tools

Poe $20  https://poe.com/
 

Perplexity https://www.youtube.com/watch?v=YoWdogtZRw8

Aiville ~ https://www.youtube.com/watch?v=HTpbfS_0lEs

Ninja AI https://www.youtube.com/watch?v=5mAUxuubdEY

Galaxy AI https://www.youtube.com/watch?v=exfe6RZb564

https://www.youtube.com/watch?v=6r5nInP3RLY 35mins

Poe AI https://www.youtube.com/watch?v=SBK4KUbT5Ws 

Playing in the AI Sandbox Drawings

Image Generation

Creating Images

  

https://youtube.com/shorts/-Ze5Z_0pi9g?si=3JRKMagnSGtW0Why

🧠 1. Be Specific, Not Vague

Instead of: “A car”
Use: “A red sports car driving through a rainy neon-lit Tokyo street at night, cinematic lighting.”

 

🎨 2. Include a Clear Subject

Always define who or what is the main focus.

Example: “Portrait of an elderly man with glasses, sitting in a rustic coffee shop.”

🌎 3. Add Environmental or Background Details

Context enriches the scene.

Example: “Lone wolf on a snowy mountain ridge at dusk, fog in the valley below.”

 

🕰️ 4. Set Mood or Atmosphere

Use tone words like dramatic, serene, mystical, futuristic, cozy, etc.

Example: “A mystical forest glowing with bioluminescent plants at twilight.”

 

💡 5. Specify Style or Medium

Include art form or aesthetic to shape visual output.

Examples: oil painting, watercolor, cyberpunk, noir photography, Pixar 3D render, Ghibli-style.

 


🎭 6. Mention Composition or Perspective

Define vantage point or layout cues.

Example: “A bird’s-eye view of a medieval city surrounded by rivers.”

 

👥 7. Define Emotion or Expression

Especially for portraits or character art.

Example: “A woman smiling confidently under sunlight, natural makeup, cinematic portrait.”

 

⚙️ 8. Use Descriptive Adjectives Wisely

Combine sensory details: color, texture, lighting, emotion.

Example: “Soft golden light, lush textures, vibrant petals, tranquil mood.”

  

⚖️ 9. Balance Detail — Don’t Overload

Overly long prompts can confuse the model. Stick to key descriptive terms (15–40 words ideal).

 

🧩 10. Add Camera or Lens Info (for realism)

For photography-style prompts:

Example: “50mm lens, shallow depth of field, natural bokeh, high dynamic range.”

 

🪞 11. Reference Artistic Inspirations

Name an artist or movement for style direction.

Example: “In the style of Van Gogh” or “inspired by Art Deco poster design.”

  

🚀 12. Use Step-by-Step Refinement

Start broad → refine iteratively.

Example workflow:

“Futuristic city at night.”

Add detail: “Futuristic city skyline at night with flying cars, neon lights, dense fog.”

Specify style: “In Blade Runner-inspired cinematic style.”

Photo Gallery

    Site Content

    Anoother Visual AI Program

    Adobe Firefly should be very good.

    Display real testimonials

    Are your customers raving about you on social media? Share their great stories to help turn potential customers into loyal ones.

    Promote current deals

    Running a holiday sale or weekly special? Definitely promote it here to get customers excited about getting a sweet deal.

    Share the big news

    Have you opened a new location, redesigned your shop, or added a new product or service? Don't keep it to yourself, let folks know.

    Display their FAQs

    Customers have questions, you have answers. Display the most frequently asked questions, so everybody benefits.

    Playing in the AI Sandbox Video

    Playing in the AI Sandbox Music

    Playing in the AI Sandbox

    Advanced Prompts

     Write a prompt to interview for a potential job in an engineering fields  

    “Act as an interviewer for a mechanical engineering position at an aerospace company. Conduct a realistic technical and behavioral interview, asking one question at a time, and evaluate each of my responses using clarity, depth, and relevance scores.”


     create an advanced prompt to help me write a book 

     You are an expert literary strategist, editor, and co‑author with deep knowledge of storytelling theory, psychology, and publishing. From now on, act as my Book Development AI to help me plan, research, and write a high‑impact book. 


    Here’s a **comprehensive list of 50 advanced ChatGPT prompts** categorized by domain, designed to help you explore high‑level reasoning, creativity, coding, and professional strategy.


    ## 🧠 1. Critical Thinking & Analysis

    1. Perform a chain-of-thought analysis on how AI regulation can balance innovation and safety by 2030.  

    2. Compare the philosophical foundations of utilitarianism and deontology in modern AI ethics.  

    3. Using a systems-thinking approach, explain why global wealth inequality persists despite technological progress.  

    4. Create a decision-tree evaluating whether to invest in nuclear energy or renewables in 2026.  

    5. Analyze the cognitive biases most likely to affect policymaking on climate change.


    ## 💼 2. Business Strategy & Leadership

    6. Develop a three-year digital transformation strategy for a mid-sized manufacturing firm.  

    7. Simulate a boardroom discussion on adopting AI automation, including three different executive viewpoints.  

    8. Build a balanced scorecard (OKR framework) for a SaaS company entering European markets.  

    9. Summarize the key steps in conducting a market-entry analysis for the EV infrastructure industry.  

    10. Generate a blue ocean strategy for a new subscription-based smart-home product.


    ## 📊 3. Data Science & Analytics

    11. Produce a pseudocode workflow for anomaly detection using Isolation Forests in Python.  

    12. Explain why overfitting occurs and propose five advanced strategies to prevent it.  

    13. Build an end-to-end pipeline for predicting consumer churn with feature engineering steps.  

    14. Compare statistical inference and machine learning through an example experiment.  

    15. Translate a regression output into a business recommendation for a marketing campaign.


    ## 💻 4. Coding & Software Development

    16. Refactor messy JavaScript code into a modular, scalable design pattern.  

    17. Create Python pseudocode for a chatbot with memory retention using vector embeddings.  

    18. Write test cases (TDD) for a REST API endpoint that handles user authentication.  

    19. Explain garbage collection and memory management in Python as if to a systems engineer.  

    20. Design a simple blockchain simulation in pseudocode, focusing on data immutability.


    ## 📚 5. Education, Research & Learning

    21. Convert a dense academic abstract into a classroom-friendly summary for high schoolers.  

    22. Outline a research methodology comparing peer-assisted learning outcomes in STEM.  

    23. Design a Socratic dialogue that teaches the basics of Bayesian reasoning.  

    24. Generate self-reflection questions to enhance graduate-level thesis development.  

    25. Explain “knowledge distillation” in neural networks by analogy to teaching apprentices.


    ## 🧬 6. Science & Engineering

    26. Propose an experimental design to test bioplastic durability under environmental stress.  

    27. Break down the thermodynamics of hydrogen fuel cells into an engineer-readable workflow.  

    28. Model the ecosystem impact of geothermal energy expansion using cause-effect loops.  

    29. Explain the relationship between quantum tunneling and semiconductor efficiency.  

    30. Write a technical brief comparing fusion and fission energy scaling limitations.


    ## ✍️ 7. Creative Writing & Storytelling

    31. Write a short story in two contrasting tones: one dystopian, one utopian, but with the same ending.  

    32. Reimagine “Alice in Wonderland” as a near-future VR experience.  

    33. Build a world where emotions are traded as digital currencies—explain the socioeconomics.  

    34. Craft a dialogue between two AI entities debating free will.  

    35. Develop a cinematic scene outline with tension escalating through rhythm manipulation.


    ## 🧩 8. Psychology & Self-Development

    36. Create a reflective journal prompt series to strengthen cognitive resilience.  

    37. Analyze how confirmation bias manifests in online communities.  

    38. Simulate a therapy conversation practicing cognitive reappraisal.  

    39. Apply Maslow’s hierarchy to explain tech adoption among rural populations.  

    40. Devise a 30-day mental model practice plan for decision-making improvement.


    ## 🌍 9. Global Affairs & Ethics

    41. Predict geopolitical shifts if quantum encryption becomes mainstream.  

    42. Outline a crisis-management plan for misinformation during global elections.  

    43. Write an ethical argument for and against AI-generated news anchors.  

    44. Compare three governance models for regulating autonomous weapons.  

    45. Assess the viability of a universal carbon dividend system by 2035.


    ## 🪄 10. Advanced Prompt Engineering

    46. Create an iterative prompt chain that summarizes, critiques, and validates research outputs.  

    47. Generate multiple prompt variants for teaching ChatGPT to act as a structured reasoning assistant.  

    48. Build a role matrix: “analyst,” “critic,” and “creator” — and instruct each to respond sequentially.  

    49. Devise a metaprompt that rephrases queries into optimal AI-friendly formulations.  

    50. Combine reflection prompts with role-play to make ChatGPT self-assess tone, accuracy, and structure.---



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