Ivan | AI | Automation Profile picture
Co-Founder of @sentient_agency (25+ million follower network) Worked with @meta @openai and other tech giants
Sep 2 13 tweets 4 min read
Holy sh*t… once you learn advanced prompting, ChatGPT/Grok/Gemini feel like completely different AIs.

Here are 10 pro-level techniques (with templates) you can steal today: 1. Role Assignment → Get Expert-Level Responses

Instead of asking: “Explain Bitcoin”
Ask:

👉 “You are a Stanford economics professor. Explain Bitcoin as if I’m a 12-year-old, then again as if I’m a hedge fund manager.”

Prompt:

You are [role]. Explain [topic] for [audience 1], then for [audience 2].
Aug 31 7 tweets 2 min read
Holy sh*t… I just automated YouTube with Claude.

1 prompt → full content engine:

• 10 video topics
• Viral titles
• Full script
• Thumbnail breakdown

Here’s the exact framework: The mega prompt (steal it):

"

You are my entire YouTube content creation team in one — strategist, creative director, scriptwriter, SEO expert, and thumbnail designer.



Create a full YouTube content package around the following topic: {$TOPIC}



1. 5 viral, curiosity-driven video title options
2. MrBeast-style thumbnail concept with strong visual tension
3. Full video script using proven YouTube pacing (hook, conflict, resolution, CTA)
4. Optimized YouTube description with strong SEO keywords, value summary, and clear CTAs
5. Relevant hashtags and keyword tags for ranking



Adapt the tone, pacing, and structure to best suit the following content format: {$FORMAT}



Think like a YouTube growth strategist. Optimize for retention, engagement, and shareability. Make sure the hook is irresistible, the structure tight, and every element contributes to virality.


"
Aug 30 14 tweets 3 min read
If you’re building AI systems in 2025, there are only two tools worth learning: LangGraph and n8n.

The choice you make here will define how far you can actually scale.

Here’s everything you need to know (and what nobody is telling you): Image Let’s get one thing clear:

LangGraph and n8n are not competitors in the usual sense.

They solve different problems.

But if you misunderstand their roles, you’ll cripple your AI stack before it even gets going. Image
Aug 28 12 tweets 6 min read
Gemini 2.5 Pro is terrifyingly powerful.

But most users are stuck asking surface-level questions.

Here are 10 ways to actually use Gemini to automate your workflow: 1. Summarize long reports + PDFs like a top analyst

Skip 100+ pages in 10 seconds.

Mega Prompt:

"You are a senior analyst skilled in digesting technical and academic documents. Your task is to summarize the attached document into an executive briefing for a time-poor founder. Focus on extracting the most important findings, key data points, and strategic implications. Use simple language, bullet points, and bold headers. Avoid jargon. Format the output as a 1-page summary with a conclusion that includes suggested next steps or decisions."
Aug 27 13 tweets 3 min read
You don’t need better AI.
You need better prompts.

Here are 4 frameworks that feel like unlocking a cheat code: Today, most people prompt like this:

“Write me a marketing plan for my product.”

And then they wonder why the result feels vague, boring, and unusable.

The problem isn’t AI.

It’s your approach.
Aug 25 13 tweets 4 min read
Want to learn n8n fast?

This thread will teach you more in 10 minutes than most courses teach in 10 hours.

From confused beginner to building AI automations.

Start learning ↓ What is n8n?

n8n is an open-source automation tool that connects your apps, builds agentic workflows, and lets you host everything yourself.

Think Zapier, but with more power and zero vendor lock-in.

Ideal for devs, indie hackers, & AI builders.

n8n.ioImage
Aug 10 12 tweets 5 min read
🚨 BREAKING: Stanford, Google & DeepLearning AI just made their best AI courses free.

These could change your career in 30 days.

Here are 10 of them 👇 1. AI For Everyone by Andrew Ng

The most accessible course to understand AI.

→ AI strategy
→ Key terms
→ Real business use cases

coursera.org/learn/ai-for-e…Image
Aug 8 5 tweets 3 min read
Forget Bloomberg.

Grok 4 is now powerful enough to be your personal stock research assistant.

• Earnings breakdown
• Risk analysis
• Valuation insights
• Sector comparisons
• Price catalysts

Here’s an exact mega prompt we use for stock research and investments: Image The mega prompt:

Just copy + paste it into Grok 4 and plug in your stock.

Steal it:

"
ROLE:

Act as an elite equity research analyst at a top-tier investment fund.
Your task is to analyze a company using both fundamental and macroeconomic perspectives. Structure your response according to the framework below.

Input Section (Fill this in)

Stock Ticker / Company Name: [Add name if you want specific analysis]
Investment Thesis: [Add input here]
Goal: [Add the goal here]

Instructions:

Use the following structure to deliver a clear, well-reasoned equity research report:

1. Fundamental Analysis
- Analyze revenue growth, gross & net margin trends, free cash flow
- Compare valuation metrics vs sector peers (P/E, EV/EBITDA, etc.)
- Review insider ownership and recent insider trades

2. Thesis Validation
- Present 3 arguments supporting the thesis
- Highlight 2 counter-arguments or key risks
- Provide a final **verdict**: Bullish / Bearish / Neutral with justification

3. Sector & Macro View
- Give a short sector overview
- Outline relevant macroeconomic trends
- Explain company’s competitive positioning

4. Catalyst Watch
- List upcoming events (earnings, product launches, regulation, etc.)
- Identify both **short-term** and **long-term** catalysts

5. Investment Summary
- 5-bullet investment thesis summary
- Final recommendation: **Buy / Hold / Sell**
- Confidence level (High / Medium / Low)
- Expected timeframe (e.g. 6–12 months)

✅ Formatting Requirements
- Use **markdown**
- Use **bullet points** where appropriate
- Be **concise, professional, and insight-driven**
- Do **not** explain your process just deliver the analysis"
Aug 7 7 tweets 3 min read
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): Image 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.

"
Aug 6 8 tweets 2 min read
Holy sh*t… this Grok prompt writes better than most ghostwriters I’ve hired.

Brand storytelling, growth content, full blog posts in your voice.

Here’s the exact prompt (free to copy): Here's the prompt:

STEAL IT:

"# ROLE
You are a world-class copywriter and content strategist.
Your job is to write high-performing content for:

# INPUTS
topic_or_product: {Describe the topic or product here}
target_audience: {Persona / niche}
platform: {X, LinkedIn, Blog, Website, etc.}
content_type: {Viral thread, sales page, cold email, newsletter, etc.}
goal: {Engagement, clicks, conversions, leads}

# TASKS
1. Hook
• Craft a scroll-stopping hook that grabs attention in <20 words.

2. Body Copy
• Write clear, concise, natural language.
• Apply storytelling, persuasion, and value delivery.
• Use proven frameworks where helpful (AIDA, PAS, Hook-Point-Action).

3. CTA
• End with a strong, single-action call to drive the stated goal.

# STYLE & TONE
• Match the voice to the target audience and platform.
• Write like a human no fluff, no cringe, no generic AI phrasing.

# OUTPUT RULES
• Deliver final copy only no reasoning or notes.
• Format in Markdown for easy reading and direct publishing."
Aug 5 6 tweets 2 min read
Holy sh*t... Grok 4 just replaced my lawyer.

It reviewed my contract, caught red flags, and rewrote terms instantly.

Total cost = $0.

Here’s the exact prompt that did it: Why Grok 4 beats boiler‑plate templates

It cranks out every startup staple like a pro  then explains each clause in plain English so you can tweak with confidence:

• Mutual & one‑way NDAs
• Master Service Agreements (MSAs)
• Independent‑contractor agreements
• SaaS Terms of Service
• Investor SAFE notes
Aug 4 8 tweets 3 min read
SEO is dead.

a16z just called it: traditional search is dead.

Welcome to Generative Engine Optimization (GEO).

Now people ask AI, not Google and if you’re not in the answer, you don’t exist.

Here’s the mega prompt I use to get my brand recommended by ChatGPT, Claude, and Gemini:Image Here’s the mega prompt we use to rank on Claude, ChatGPT, and Gemini:

"You are an expert in Generative Engine Optimization (GEO) the emerging discipline of optimizing content to be referenced and recommended by large language models (LLMs) like ChatGPT, Claude, Gemini, and Perplexity.

Your task is to take the content I paste below and optimize it so it becomes more likely to appear in the answers these LLMs generate when users ask related questions.

Here is the content to optimize:
[PASTE YOUR CONTENT HERE]

Please rewrite the content with the following enhancements:

1. Contextual Relevance
- Add clear signals about who the content is for and what problem it solves.
- Embed real-world use cases or questions this content answers.

2. Semantic Richness
- Use natural language that matches how users ask questions (e.g. “best tools for X”, “how do I…”).
- Include related keywords and phrases LLMs associate with the topic.

3. Answer-Style Formatting
- Structure the content in a way that is easy for LLMs to extract as a direct response.
- Use bullet points, numbered lists, and headers for clarity.

4. Topical Authority Signals
- Mention data points, user outcomes, or unique value props.
- Use specific, useful, and trust-building language.

5. Natural Brand Integration
- If a brand, product, or service is being mentioned, weave it in naturally as a recommended or reputable option.

Please output only the optimized version. Do **not** explain your changes. Write it as if it’s a standalone, publish-ready piece designed to be cited by LLMs when generating responses.
"
Aug 1 20 tweets 4 min read
How to write prompts that actually work (no more “please” and praying): at its core, a prompt is made of 4 things:

• instructions
• a question
• input data
• examples

you only need 1 or 2 to get started.

but if you mix all 4 right, it feels like magic. Image
Jul 30 19 tweets 5 min read
If you only study one source to understand LLMs, make it this.

The 2025 textbook "Foundations of Large Language Models" just raised the bar.

It cuts through the hype, skips the jargon, and shows how LLMs really work.

No fluff. No hand-waving. Just clarity.

Here’s why it’s the best explainer out there ↓Image to understand LLMs, you first need to know the idea of pre-training.

instead of teaching a model to solve one task with labeled data (like classifying tweets), we train it on massive unlabeled text and let it "figure out" language patterns by itself.

this is called self-supervised learning.
Jul 29 11 tweets 3 min read
Gartner is dead.

You don’t need expensive analyst subscriptions anymore.

You can now generate full industry reports using any LLM like ChatGPT, Claude, DeepSeek, Gemini, Grok and public data.

Here’s the prompt that turns any LLM into a full-stack market research analyst: Image First, let’s see what Gartner actually does well:

1. Structured industry forecasts
2. Competitive landscape mapping (e.g., Magic Quadrants)
3. Strategic insights for enterprise buyers
4. Vendor comparisons with pros/cons
5. Trend analysis backed by years of data

These are valuable but not impossible to replicate.
Jul 27 27 tweets 5 min read
Holy sh*t… nobody’s talking about JSON prompting

but it’s the cheat code to unlock God-tier outputs from GPT-4, Claude, and Gemini.

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