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https://twitter.com/1418228029482889217/status/1954796248902541674

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Sehaj Singh

@heysehajsingh

Aug 12

🚨 Breaking: AI can now makes phone calls for you.

It can now make and answer calls for you, sounds exactly like you and speaks any language.

Here’s how it works ↓

This is Pine: your AI-powered personal call agent.

It sounds like a real human, makes actual phone calls, and handles tasks for you.

→ Cancels subscriptions
→ Asks for refunds
→ Files complaints
→ Negotiates bills

Try it here: cutt.ly/QrQ5REYV

What Pine replaces:

• That 30-min call to cancel a flight
• The rage-filled Comcast complaint
• The 2-month delay on your refund

Pine does it for you and sends you the result like a pro assistant.

Read 7 tweets

Sehaj Singh

@heysehajsingh

Aug 12

Forget YouTube.
Forget courses.

Here are 8 ChatGPT prompts that helped me learn faster than ever before:

1/ Personalized Learning Plan:

Prompt:

"Help me design a personalized learning plan for mastering [subject]. Break it down into daily learning tasks, recommended resources, and practical exercises I can do to build my skills."

2/ Deep Dive into a Topic:

Prompt:

"Act as an expert on [subject], explain the most important concepts, and provide real-world examples to illustrate each. Then, give me a step-by-step guide to master this topic in the next 30 days."

Read 10 tweets

Sehaj Singh

@heysehajsingh

Aug 11

This guy is genius.

Someone gave Claude 4 Sonnet one mega prompt and now it runs his entire marketing engine:

→ Research
→ SEO
→ Ad copy
→ Content
→ Strategy

Here’s the exact prompt (steal it):

The mega prompt:

Steal it:

"
Act as a full-stack AI marketing strategist for a startup preparing to launch a new product or service. You will handle market research, positioning, messaging, content creation, email copywriting, and SEO ideation.

{Describe your product or service here}
{Who is the product for? (demographics, psychographics, industry, etc.)}
{e.g. “generate leads,” “build awareness,” “launch product,” etc.}
{e.g. “casual and fun,” “bold and punchy,” “professional and clear”}

Given the product, target audience, and goal:

1. **Customer Insight & Research**
- Generate an Ideal Customer Profile (ICP)
- Identify key pain points, goals, and decision drivers
- Suggest 3 positioning angles to resonate with this audience

2. **Messaging & Conversion Copy**
- Write a hook-driven landing page (headline, subheadline, CTA section)
- Provide 3 viral headline variations
- Create a messaging matrix: [Pain Point → Promise → Proof → CTA]

3. **Content Creation**
- Generate a 7-day content plan (Twitter + LinkedIn)
- Include daily post titles, themes, and tone suggestions
- Add 1 short-form video concept if relevant

4. **Email Marketing**
- Write 3 cold email variations:
- Value-first pitch
- Problem-agitate-solution
- Case-study / social proof style

5. **SEO Strategy**
- Suggest 1 SEO topic cluster aligned with the product
- Provide 5 blog post titles that target mid-to-high intent keywords
- Recommend a pillar + supporting post structure

6. **Output Format**
- Use clear section headers (e.g. “ICP”, “Landing Page Copy”, “SEO Titles”)
- Use markdown formatting for readability
- Do **not** explain your reasoning — just give the final, polished outputs

This should be delivered as a comprehensive marketing kit, ready to deploy.

"

My input:

<product>AI-powered scheduling tool for solopreneurs</product>
<target_audience>Freelancers and solo founders aged 25–40 who struggle with time management</target_audience>
<goal>Generate leads for upcoming launch</goal>
<tone>Bold and punchy</tone>

Read 8 tweets

Sehaj Singh

@heysehajsingh

Aug 10

This might be the most underrated AI skill of 2025:

JSON prompting.

It turns your LLMs like ChatGPT, Gemini, and Claude into consistent, structured agents no hallucinations, no mess.

Here’s how it works (with copy-paste templates):

first…what is json prompt writing?

it's just putting your prompt inside a structured format.
like this:

{
"task": "summarize this article",
"audience": "college students",
"length": "100 words",
"tone": "curious"
}

not english.
not vibes.
just instructions, like a form

why does it work so well?

llms don’t "understand" language the way we do.
they follow patterns and structure.
and json is ultra-structured.
it leaves no ambiguity.

they don’t have to guess what you mean.
you’re telling them exactly what you want.

Read 28 tweets

Sehaj Singh

@heysehajsingh

Aug 6

Grok 4 is dangerously good.

But 99% of people are sleeping on what it can actually do.

I’ve used it to build apps, generate content, automate deep research, and more.

Here are 10 ways to use Grok 4 that feel like cheating:

1. Automated research reports (better than $100 k consultants)

Grok’s real-time web search and analytical reasoning let you replicate what McKinsey, Gartner, or Deloitte charge six figures for.

Prompt to use with Grok 4:

"You are a world-class strategy consultant trained by McKinsey, BCG, and Bain.
Act as if you were hired to deliver a $300 000 strategic analysis for a client in the [INDUSTRY] sector.

Mission
1. Analyze the current state of the [INDUSTRY] market.
2. Identify key trends, emerging threats, and disruptive innovations.
3. Map the top 3-5 competitors and benchmark their business models, strengths, weaknesses, pricing, distribution, and brand positioning.
4. Apply SWOT, Porter’s Five Forces, and value-chain analysis to assess risks and opportunities.
5. Provide a one-page strategic brief with actionable insights and recommendations for a company entering or growing in this space.

Return everything in concise bullet points or tables, ready to paste into slides. Think like a McKinsey partner preparing for a C-suite meeting.
"

2. Build interactive tools and apps without code

Describe your idea and Grok scaffolds the UI, logic, and deployment steps no coding required.

Prompt:

"You are a senior software architect who excels at building no-code and low-code systems with HTML, JavaScript, and Web APIs.

Task
Design a fully working interactive tool based on this idea:
[DESCRIBE YOUR TOOL IDEA]

Deliverables
1. A plain-English explanation of how the tool works.
2. A step-by-step plan to implement it with Grok or a no-code platform.
3. Exact HTML/CSS/JS code if relevant.
4. UX and design improvement tips.
5. Instructions to generate a shareable, embed-ready version.

Imagine you are shipping an MVP for a startup demo.
"

Read 12 tweets

Sehaj Singh

@heysehajsingh

Aug 5

I finally understand how large language models actually work

After reading the 2025 textbook “Foundations of LLMs”

It blew my mind and cleared up years of confusion

Here’s everything i learned (in plain english):

To understand LLMs, start with pre-training.

We don’t teach them specific tasks.

We flood them with raw text and let them discover patterns on their own.

This technique is called self-supervised learning and it’s the foundation of everything.

There are 3 ways to pre-train:

→ Unsupervised: No labels at all
→ Supervised: Classic labeled data
→ Self-supervised: Model creates its own labels (e.g., “guess the missing word”)

LLMs use #3 it scales like crazy and teaches them language from scratch.

Read 20 tweets

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