AI and Prompts

Learn how to craft effective prompts to get the best out of ChatGPT

Prompt engineering refines prompts to obtain more accurate and useful responses from LLMs. Learn more and find prompt examples with Google Cloud.

A curated list of the best prompt engineering books, papers, tools, and courses

Master the fundamentals of prompt engineering without coding skills. Learn practical techniques to create effective AI prompts that deliver consistent, high-quality results for business applications.

Prompting still matters in 2026. Here are my best techniques

Unlock the potential of AI by crafting effective prompts. Learn how prompt engineering can optimize your AI interactions, enhance output quality, and understand its limitations.

If you want more reliable results from generative AI, the fastest improvement comes from how you write prompts. A simple, repeatable framework gives AI the

Transform your AI interactions from amateur to expert with this comprehensive prompt engineering masterclass. Most people waste hours getting mediocre results from AI tools like ChatGPT, Claude, and others – but you're about to learn the exact techniques that separate the top 1% of prompt writers from everyone else.
What You'll Master:

The CLEAR framework for structuring prompts that get consistent, high-quality results
Advanced techniques like few-shot prompting, chain-of-thought reasoning, and role-based prompting
How to eliminate vague responses and get AI to think step-by-step like an expert
The psychology behind why certain prompts work while others fail miserably
Real examples comparing weak vs. powerful prompts across different use cases
Troubleshooting common prompt failures and how to fix them instantly


CHAPTERS
0:00 - Intro
1:31 - 6 Part Framework
4:58 - Hack #1 - Truth Detector
6:38 - Hack #2 - AI Prompt Helper
8:41 - Hack #3 - The Model Matching Secret
11:01 - Hack #4 - The Self-Improvement Loop
13:20 - Hack #5 - The 4 Word Miracle
15:17 - Hack #6 - The Priming Trick

Perfect for:
Content creators, marketers, students, professionals, entrepreneurs, or anyone who uses AI tools regularly and wants dramatically better results in less time.
By the end of this masterclass, you'll write prompts that:
✓ Generate exactly what you need on the first try
✓ Save hours of back-and-forth refinement
✓ Produce professional-quality outputs consistently
✓ Work across different AI models and platforms
Stop settling for mediocre AI responses. Learn the prompt engineering secrets that most people never discover.

Need help and Want to Work with US: https://bit.ly/enovair-consulting

#PromptEngineering #AI #ChatGPT #Claude #ProductivityHacks #AITools

Prompt Engineering Guide: 2026 Edition (Steal My System)
Want a single framework that works across ChatGPT (GPT-5/4.1), Claude 4, Google Gemini, Perplexity, and even reasoning models (O3 / O4-mini)? This episode distills hundreds of hours of testing + the latest docs into a reusable prompt engineering system you can apply to any large language model. We’ll cover the core template (Role → Task → Context → Examples → Output → Constraints → Instructions), then layer on advanced techniques like Chain of Verification (CoV) and Reverse Prompting, and finish with how context engineering (RAG, memory, connectors) complements great prompts.

What you will learn
- The 2026 Prompt Framework that travels cleanly across models (and what to tweak per model).
- Model-specific rules: when to add step-by-step guidance vs. when it hurts (reasoning models).
- Chain of Verification to reduce hallucinations and force evidence-backed answers.
- Reverse Prompting to let the model craft (and run) the optimal prompt for your goal.
- Context Engineering vs Prompt Engineering - how RAG, memory, and external data supercharge results.
- Per-model tips for GPT-5, GPT-4.1, Claude 4, Gemini 2.5, O3/O4-mini, Perplexity (search-centric).

Timestamps
00:00 Introduction
00:49 The Prompting Framework
09:35 Chain of Verification
10:50 Reverse Prompting
12:17 Prompt Engineering vs. Context Engineering

Key takeaways (cheat sheet)
- Standard models (GPT-5/4.1, Claude, Gemini): ask for step-by-step thinking, state uncertainty over guessing, use few-shot examples for tone/format.
- Reasoning models (O3/O4-mini): don’t force chain-of-thought; keep prompts lean; minimize context.
- Perplexity: treat as retrieval-augmented generation, avoid few-shot examples in the initial prompt; use CoV as a follow-up.
- Output control: specify format, length, and structure precisely (tables, sections, word counts).
- Constraints: crisp, measurable rules outperform vague ones.

Resources
- Framework Explanation
https://docs.google.com/document/d/12obzedWKGlsaHgwVDzwz_leA0PN-9e3F/edit?usp=sharing&ouid=118261041881417412634&rtpof=true&sd=true
- Plug-and-Play Framework
https://docs.google.com/document/d/13p5fhgdXARKF0ZL7EBq4N6ju_--0QnNrweg8KXVWxM0/edit?usp=sharing

Who this is for
Analysts, operators, PMs, consultants, and creators who want reliable, repeatable outputs—not one-off prompt hacks. Perfect if you’re comparing prompt engineering courses or want a faster path to learn prompt engineering in practice.

If this helps, consider subscribing. I post weekly, no-fluff tutorials that turn AI & finance into your personal advantage.

Search helpers: prompt engineering, what is prompt engineering, learn prompt engineering, prompt engineering guide 2026, prompt engineering course, LLM prompting, ChatGPT tricks, Claude skills, Gemini prompts, RAG, context engineering, large language models.

Sander Schulhoff is the OG prompt engineer. He created the very first prompt engineering guide on the internet (two months before ChatGPT’s release) and recently wrote the most comprehensive study of prompt engineering ever conducted (co-authored with OpenAI, Microsoft, Google, Princeton, and Stanford), analyzing over 1,500 academic papers and covering more than 200 prompting techniques. He also partners with OpenAI to run what was the first and is the largest AI red teaming competition, HackAPrompt, which helps discover the most state-of-the-art prompt injection techniques (i.e. ways to get LLMS to do things it shouldn’t). Sander teaches AI red teaming on Maven, advises AI companies on security, and has educated millions of people on the most state-of-the-art prompt engineering techniques.

*In this episode, you’ll learn:*
1. The 5 most effective prompt engineering techniques
2. Why “role prompting” and threatening the AI no longer works—and what to do instead
3. The two types of prompt engineering: conversational and product/system prompts
4. A primer on prompt injection and AI red teaming—including real jailbreak tactics that are still fooling top models
5. Why AI agents and robots will be the next major security threat
6. How to get started in AI red teaming and prompt engineering
7. Practical defense to put in place for your AI products

*Transcript:* https://www.lennysnewsletter.com/p/ai-prompt-engineering-in-2025-sander-schulhoff

*Brought to you by:*
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*Where to find Sander Schulhoff:*
• X: https://x.com/sanderschulhoff
• LinkedIn: https://www.linkedin.com/in/sander-schulhoff/
• Website: https://sanderschulhoff.com/
• AI Red Teaming and AI Security Masterclass on Maven: https://bit.ly/44lLSbC
• Free Lightning Lesson “How to Secure Your AI System” on 6/24: https://bit.ly/4ld9vZL

*Where to find Lenny:*
• Newsletter: https://www.lennysnewsletter.com
• X: https://twitter.com/lennysan
• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/

*In this episode, we cover:*
(00:00) Introduction to Sander Schulhoff
(04:56) The importance of prompt engineering
(09:01) Two modes for thinking about prompt engineering
(12:02) Few-shot prompting
(17:30) Prompting techniques to avoid
(24:52) Decomposition
(28:26) Self-criticism and context
(40:29) Ensembling
(45:59) Thought generation
(48:23) Conversational vs. product-focused prompt engineering
(51:56) Introduction to prompt injection and red teaming
(53:37) AI red teaming competitions
(55:23) The growing importance of AI security
(01:03:39) Techniques to bypass AI safeguards
(01:06:17) Challenges in AI security and future outlook
(01:09:31) Common defenses to prompt injection that don't actually work
(01:13:18) Defenses that do work
(01:16:33) Misalignment and AI's potential risks
(01:19:29) Are LLMs behaving maliciously?
(01:26:05) Final thoughts and lightning round

*Referenced:*
• Reid Hoffman’s tweet about using AI agents: https://x.com/reidhoffman/status/1930416063616884822
• AI Engineer World’s Fair: https://www.ai.engineer/
• What Is Artificial Social Intelligence?: https://learnprompting.org/blog/asi
• Devin: https://devin.ai/
• Cursor: https://www.cursor.com/
• The rise of Cursor: The $300M ARR AI tool that engineers can’t stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell
• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (CEO and co-founder): https://www.lennysnewsletter.com/p/building-lovable-anton-osika
• Inside Bolt: From near-death to ~$40m ARR in 5 months—one of the fastest-growing products in history | Eric Simons (founder & CEO of StackBlitz): https://www.lennysnewsletter.com/p/inside-bolt-eric-simons
• Everyone’s an engineer now: Inside v0’s mission to create a hundred million builders | Guillermo Rauch (founder and CEO of Vercel, creators of v0 and Next.js): https://www.lennysnewsletter.com/p/everyones-an-engineer-now-guillermo-rauch
• Technique #3: Examples in Prompts: From Zero-Shot to Few-Shot: https://learnprompting.org/docs/basics/few_shot?srsltid=AfmBOor2owyGXtzJZ8n0fJVCctM7UPZgZmH-mBuxRW4t9-kkaMd3LJVv
• The Prompt Report: Insights from the Most Comprehensive Study of Prompting Ever Done: https://learnprompting.org/blog/the_prompt_report?srsltid=AfmBOoo7CRNNCtavzhyLbCMxc0LDmkSUakJ4P8XBaITbE6GXL1i2SvA0
...References continued at: https://www.lennysnewsletter.com/p/ai-prompt-engineering-in-2025-sander-schulhoff

_Production and marketing by https://penname.co/._
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Lenny may be an investor in the companies discussed.

Google's 6 Hour Prompt Engineering Course in 10 Minutes
Get Your Own Google Prompting Certificate 👉 http://parkerprompts.com/google-prompting

In this video, I break down the most important tactics from Google’s prompt engineering course and show you how to apply them fast without sitting through the full training. You’ll learn Google’s core loop Task, Context, References, Evaluate, Iterate, plus the practical add-ons that actually change your results like persona, format, constraints, multimodal prompting, prompt chaining, agent-style prompts, and meta-prompting so you can get better outputs in fewer tries and start using AI like a real productivity system.

I'm Parker. I started this YouTube Channel with the goal to learn more about AI myself and to then pass on the knowledge to anyone willing to listen.

let's work together: parker(at)mediaflow.group