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Hasan Toor Profile picture
@hasantoxr
Nov 15, 2022 • 12 tweets • 6 min read • Read on X
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More from @hasantoxr

Hasan Toor Profile picture
Oct 7
🚨BREAKING: There's now AI agents that hack your app to find real security bugs

It acts like an AI Cybersecurity Agent, providing real-time, automated security testing for developers and teams

100% open-source. Link to the guide in 🧵↓
Introducing Strix: This is 100% open-source platform that deploys autonomous AI agents that act like real hackers.

These AI agents don't just scan, they find and validate vulnerabilities through actual exploitation.
1. pipx install strix-agent – and connect your LLM API keys
Read 7 tweets
Hasan Toor Profile picture
Oct 6
12 GitHub repos that will help you start a career in AI engineering (100% free):
1. AI for Beginners by Microsoft

This repo includes topics like neural networks, language processing, computer vision, and more.

It's easy for beginners, focuses on projects, and includes real-world examples.

Check this👇 Image
2. ML for Beginners by Microsoft

A 12-week program where you learn classical machine learning with real-world data using Scikit-learn.

It has quizzes, lessons in R and Python, and hands-on projects. Some lessons are available as short videos.

Check this👇 Image
Read 14 tweets
Hasan Toor Profile picture
Sep 29
Stanford just published research that destroys every prompt engineering guru.

Turns out most "advanced techniques" are just survivorship bias and confirmation bias.

Here's what the data actually shows:
The biggest lie: "Be specific and detailed"

Stanford researchers tested 100,000 prompts across 12 different tasks.

Longer prompts performed WORSE 73% of the time.

The sweet spot? 15-25 tokens for simple tasks, 40-60 for complex reasoning. Image
"Few-shot examples always help" - Total bullshit.

MIT's recent study shows few-shot examples hurt performance on 60% of tasks.

Why? Models get anchored to your examples and miss edge cases.

Zero-shot with good instructions beats few-shot 8 times out of 10. Image
Read 16 tweets
Hasan Toor Profile picture
Sep 29
How to Build SaaS Apps with AI (No Manual Coding Needed):
With DeepAgent, you can make your own AI app easily!

DeepAgent isn’t just an AI builder it’s your backend, frontend, and dev team in one.

You can make an app in just a few minutes.

It creates the login, database, buttons, and lets apps talk to each other automatically.
Here are some crazy example of Apps created with DeepAgent:

1. You can build complex agents like a contract analyzer with DeepAgent.
Read 11 tweets
Hasan Toor Profile picture
Sep 28
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.

"
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 7 tweets
Hasan Toor Profile picture
Sep 27
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): Image
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 19 tweets

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