Thehired.ai

My name is Arman the CEO and founder of TheHired.AI based in Dubai.

Chief Executive Officer

Call 15000 leads without calling using AI(Dubai real estate Agencies) We Help Dubai Real estate Agencies Close 20x more clients using AI. Learn How👇👇

We build AI Client Acquisition systems Exclusively for +50M/Year High Ticket Services/product businesses That get them 35% more Qualified meetings.

Arman Liaghat

Join 500k+ AI Tool Report subscribers and start learning AI in 5 minutes a day.

AI is not just the future. It’s your competitive edge—today.

I help ambitious professionals and companies stay informed, and ahead with AI. 

As founder of The AI Report, I lead the #1 B2B AI newsletter helping 400,000+ readers—from NASA, Tesla, Meta, and more—master the real-world use of AI in 5 minutes a day.

What I focus on as CEO:

📈 Driving company vision, growth strategy, and business model innovation
🧠 Building world-class editorial and research systems across content, product, and training
🤝 Leading partnerships with global brands and AI providers
👥 Hiring and enabling exceptional operators to scale execution

AI isn’t a trend. It’s the most important lever in your business—and most are still pulling it wrong.

If you're ready to stop dabbling and start scaling, I can help.

Let’s talk.

Martin Crowley

AI hallucinates facts constantly.
Here's how to catch it before it matters.

1. Critically Evaluate Every Output

AI doesn't think or reason.
It predicts words based on patterns.

What this means:
→ No inherent truth verification
→ No ability to distinguish fact from fiction
→ No understanding of what it's saying

Your job:
Apply human judgment to every output.
Treat AI like a smart intern who sometimes makes things up.

2. Diversify Your Sources

Never trust AI alone on critical facts.

Cross-check with:
→ Industry experts
→ Peer-reviewed publications
→ Primary sources
→ Multiple AI tools

One source = potential hallucination
Three sources = likely accurate

3. Use Retrieval-Based Tools

Some AI tools use RAG (Retrieval-Augmented Generation).

What it does:
→ Pulls from trusted documents first
→ Generates answers based on those sources
→ Cites where information came from

Examples:
→ ChatGPT with uploaded documents
→ Claude Projects with files
→ Perplexity with source citations

Research shows RAG improves accuracy and trust.

4. Use Clear and Structured Prompts

Vague prompts = vague (often wrong) answers.

Bad prompt:
"Tell me about the market."

Good prompt:
"Analyze Q4 2024 SaaS market trends. Explain your reasoning step-by-step. Cite specific data points."

The technique:
Chain-of-Thought Prompting forces AI to show its work.
Exposes logical gaps and unsupported claims.

**5. Adjust Temperature Settings**

Temperature controls randomness.

Low temperature (0 to 0.3):
→ Focused and factual
→ Consistent outputs
→ Best for: Data analysis, reports, technical content

High temperature (0.7 to 1.0):
→ Creative and varied
→ More imaginative
→ Best for: Brainstorming, storytelling, creative work

For critical accuracy, always use low temperature.

The pattern that works:

Step 1: Use structured prompts with low temperature
Step 2: Request step-by-step reasoning
Step 3: Cross-check with trusted sources
Step 4: Apply human judgment to final output

Most people skip steps 3 and 4.
That's when expensive mistakes happen.

AI is a tool, not a source of truth.
Treat it accordingly.

P.S. Want to learn more about AI?

1. Scroll to the top
2. Click "Visit my website"
3. Sign-up for our free newsletter

You don't need to be technical. Just informed.

 5 Ways to Stop AI From Lying to You

You're getting bad AI outputs because your prompts are lazy.

Here's how to fix it:

Rule 1: Provide Context

Bad prompt:
"What's the best time for New England fall foliage?"

Good prompt:
"You are an experienced wildlife biologist specializing in trees. Based on recent USA weather patterns, predict the best fall foliage season for New England and explain it to kindergarteners."

The difference:
→ Role sets expertise level
→ Parameters focus the answer
→ Audience shapes the language

Rule 2: Be Specific

Bad prompt:
"Tell me about climate change."

Good prompt:
"Discuss the economic implications of climate change in developing countries over the next decade."

The difference:
→ Year specified
→ Region defined
→ Aspect clarified
→ Scope limited

Specificity = quality.
Vague inputs = vague outputs.

Rule 3: Build On the Conversation

AI remembers your chat history.
Use it.

First prompt:
"Explain quantum entanglement to kindergarteners."

Follow-up:
"Make it funnier."

Another follow-up:
"Now explain it to college English majors using analogies they'll understand."

No need to repeat context.
Just keep building.

Real example:

Prompt 1:
"You are a sales coach. Write a cold email to CFOs about budget software."

Prompt 2:
"Make it shorter, under 50 words."

Prompt 3:
"Add a case study from the finance industry."

Prompt 4:
"Rewrite for VP of Finance instead."

Each builds on the last.
No starting over.

Why this works

Context = relevant answers
Specificity = accurate answers
Building = refined answers

Most people ask once and quit.
Experts iterate until perfect.

The formula:

Step 1: Set role and context
Step 2: Add specific constraints
Step 3: Iterate until satisfied

Try this on your next prompt.
You won't recognize the difference.

P.S. Want to learn more about AI?

1. Scroll to the top
2. Click "Visit my website"
3. Sign-up for our free newsletter

3 Prompt Engineering Rules That 10x Your AI Results

Your inbox is quietly becoming a task manager.

Google has unveiled an AI-powered inbox for Gmail that replaces the traditional email list with summaries and suggested actions. Instead of sorting by recency, Gmail now prioritizes what it thinks you should do next.

For operators and leaders, this is a real workflow shift.

If it works, email triage becomes faster and more decision-focused.

If it fails, you risk outsourcing attention and judgment to an algorithm.

→ Email is no longer just communication. It’s becoming an AI-led priority queue.

#Gmail #GoogleAI #EmailProductivity #AIWorkflows #FutureOfWork

Most people write vague prompts and wonder why AI fails.
Here's how to get professional results every time.

1. Clean Skin Without Losing Texture

Bad prompt: "Make skin look better"

Good prompt:
"Reduce small blemishes and even tone while keeping all natural pores and texture visible. Smooth only problem areas under 3mm. Preserve eye sharpness and face structure completely."

2. Studio-Quality Portrait Lighting

Bad prompt: "Fix the lighting"

Good prompt:
"Add soft directional light from upper left at 45 degrees. Lift shadow detail by 15%, add gentle highlight on cheekbones, maintain original skin color accuracy."

3. Film-Style Color Grading

Bad prompt: "Make it cinematic"

Good prompt:
"Apply teal-orange color split with cooler shadows and warmer highlights. Keep skin tones neutral. Add subtle grain at 8% opacity. Increase midtone separation without crushing blacks."

4. Remove Background Distractions

Bad prompt: "Clean up the background"

Good prompt:
"Remove objects and people in background only. Maintain original blur and depth of field. Fill removed areas with matching texture and lighting. Keep all subject edges sharp."

5. Fix Small Imperfections Only

Bad prompt: "Remove blemishes"

Good prompt:
"Target spots, stray hairs, and dust marks smaller than 4mm only. Use texture-matched healing. Leave skin texture, freckles, and natural features completely unchanged."

6. Enhance Makeup Subtly

Bad prompt: "Make makeup pop"

Good prompt:
"Deepen existing eye makeup by 12%, sharpen liner edges slightly, increase lip saturation by 8%. Avoid adding shine. Keep skin texture and pores fully visible."

7. Correct Outdoor Color Cast

Bad prompt: "Fix outdoor colors"

Good prompt:
"Remove green color cast from reflected foliage. Warm midtones by 6%. Recover blown highlight detail in sky. Keep gradient smooth with no banding. Preserve tree and grass detail."

8. Black and White Conversion

Bad prompt: "Make it black and white"

Good prompt:
"Convert to monochrome with strong contrast and deep blacks. Keep shadow detail visible. Boost texture clarity. Add fine grain at 10%. Place skin tones in upper midrange for luminance."

9. Product Photo Enhancement

Bad prompt: "Polish this product"

Good prompt:
"Remove dust and surface marks only. Sharpen product edges selectively. Enhance material texture without changing color. Keep color within 3% of original for brand accuracy."

10. Social Media Optimization

Bad prompt: "Make it Instagram ready"

Good prompt:
"Optimize for mobile viewing by increasing sharpness perception by 10%, boosting saturation 7%, cropping to 4:5 ratio. Preserve face detail. Ensure colors display consistently across devices."

P.S. Want to learn more about AI?

1. Scroll to the top
2. Click "Visit my website"
3. Sign-up for our free newsletter

 10 Gemini AI Photo Editing Prompts 

Notepin S isn’t trying to be a better notebook. It’s trying to own the meeting.

By pairing a wearable recorder with a desktop client, Notepin S is positioning itself as a full meeting workflow, not just a transcription tool.

The differentiator isn’t the hardware alone.

It’s the combination of physical capture, digital meeting ingestion, and structured outputs that turn conversations into usable notes.

That places it alongside tools like Granola, Otter, and Fireflies but with a tighter loop between what’s said and what gets saved.

→ In meeting software, capture without context doesn’t scale.

#MeetingProductivity #WorkplaceTechnology #WorkflowDesign #AIAtWork #TheAIReport

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The Battle

Arman Liaghat

Martin Crowley

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The Battle

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Martin Crowley

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Martin Crowley's LinkedIn Performance

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