study these four essential components:
- context (background information)
- role (who the AI should be)
- task (what you want done)
- format (how you want output structured)
practice writing prompts with all four elements until it becomes automatic
develop role engineering skills...
study the difference between generic and specific roles
instead of "you are a writer" learn to write "you are a SaaS copywriter with 8 years experience who specializes in onboarding emails that convert trial users to paid customers"
specificity in roles creates specificity in outputs, you want to be creative in this section because this is what makes AI answers unique
very important: absorb context layering techniques
learn how background information shapes AI responses
practice writing context that includes: target audience, business constraints, desired outcomes, and relevant background
master this and your prompts will produce relevant results instead of generic garbage
discover output formatting control...
study XML structuring for your requests:
professional but approachable under 200 words numbered list with explanations
practice using these tags until you can structure any response type
it might sounds complex but it's really just markup formatting, you'll get use to it quickly
get good at few-shot prompting
study how to teach AI through examples instead of explanations
learn to provide 2-3 input/output samples before your actual request
practice this technique because AI learns patterns faster than it follows instructions
study chain-of-thought reasoning
learn to request step-by-step thinking with phrases like "think through this systematically" or "explain your reasoning process"
practice this for complex tasks where you need logical progression, not quick answers
put your focus on prompt chaining methodology...
study how to break complex projects into connected prompts:
prompt 1 --> research and gather information
prompt 2 --> organize and structure findings
prompt 3 --> create first draft
prompt 4 --> refine and polish
master this for any multi-step project, it's powerful
try negative prompting (love this)
learn to specify what you DON'T want as clearly as what you DO want
practice writing constraints: "don't use technical jargon, don't exceed 150 words, don't include generic advice"
master exclusion to eliminate unwanted behaviors
the more you use AI, the more you'll start to see its "bad habits" such as em dashes, bold highlights, buzzwords... you can eliminate these with negative prompting
build systematic iteration habits...
study how to refine prompts based on outputs you receive
practice asking: what's missing? what's unclear? how can I be more specific?
master this feedback loop because first attempts rarely produce perfect results
study the difference between prompting and clear thinking
learn that templates and tricks are just surface level tools
focus on developing your ability to articulate exactly what you want and why
master communication skills because they transfer directly to prompt effectiveness
(this might be the only secret to prompting)
dig this: temperature and parameter control...
study when to use:
- low temperature (0.1-0.3) for consistent, reliable outputs
- high temperature (0.7-1.0) for creative, varied responses
practice adjusting these settings based on whether you need consistency or creativity
you need to go into the advanced apps from the models you're using to play with this
understand the difference with system vs user prompt architecture
learn how system prompts create persistent behavior while user prompts handle specific requests
practice layering instructions across both levels for better conversation control
master this for any application that requires consistent AI behavior
learn token economy management
study how context window limits affect your prompting strategy
practice balancing comprehensive context with adequate response space
master this constraint because it shapes every prompt you write
be careful about prompt injection vulnerabilities...
learn how malicious users can hijack your AI systems with phrases like "ignore previous instructions"
practice building defensive prompts that resist these attacks
master security considerations if you're building user-facing AI applications
learn domain-specific prompting patterns
study different approaches for:
- coding tasks (specify languages, frameworks, error handling)
- creative writing (define audience, tone, style preferences)
- data analysis (request methodology, sources, confidence levels)
practice adapting your style to different professional contexts
use metacognitive prompting...
learn to ask AI to evaluate and improve its own outputs
practice requests like "rate this response and suggest improvements" or "what additional information would help you give a better answer?"
master self-reflection to uncover prompt enhancements you'd miss
you can also ask other models to improve your prompts, works like a charm
establish persona consistency techniques
study how to maintain character across multiple interactions
practice defining: personality traits, communication style, knowledge boundaries, and contextual memory
master this for any application requiring sustained AI relationships
deal with hallucination prevention...
grasp techniques to minimize AI's tendency to confidently state false information
implement requesting sources, confidence levels, and fact verification
secure these safeguards for any high-stakes or factual content
create prompt versioning and documentation systems...
develop systematic approaches to tracking what works
construct a personal library of successful prompts organized by use case
organize this documentation system to accelerate your future prompting work
cultivate emotional intelligence in prompting...
recognize how emotional framing affects AI behavior and output quality
experiment with urgency indicators, encouragement phrases, and effort-level cues
harness this subtle influence to guide AI attitude and thoroughness
study multi-modal prompting strategies...
explore how to effectively combine text with images, audio, or other media types
test describing media clearly and asking targeted questions about specific elements
command cross-modal communication for richer AI interactions
research enterprise security considerations...
understand data privacy, retention policies, and confidentiality requirements
develop skills for sanitizing sensitive information and choosing appropriate platforms
own these protocols for any business or professional AI implementation
perfect context switching techniques...
identify how to reset AI behavior when responses become stuck or repetitive
rehearse phrases like "start completely fresh" or "approach this from the opposite angle"
design workflow systematization...
examine how to create reusable prompt sequences for common tasks
construct templates for: research projects, content creation, problem-solving, and analysis
study systematic approaches to eliminate repetitive prompt writing
learn effectiveness measurement...
track metrics that matter: time saved, output quality, consistency, user satisfaction
evaluate performance across different prompt variations
refine through data-driven improvement rather than relying on intuition alone
embrase the collaborative prompting mindset...
realize how to treat AI as a thinking partner rather than a command-following tool
adopt conversational approaches: explaining reasoning, asking for perspectives, building ideas together
execute this partnership approach for complex creative and analytical work
explore advanced technique foundations...
study these concepts for future exploration:
- constitutional AI principles
- retrieval augmented generation
- tool use and function calling
- multi-agent orchestration
conquer the basics first, then these unlock professional-level capabilities
follow this learning progression...
week 1: fundamentals (anatomy, roles, context, formatting)
week 2: examples, reasoning, and iteration methods
week 3: chaining, workflows, and domain applications
week 4: advanced concepts and personal system building
execute with real projects daily, not theoretical exercises
here's what you need to understand...
prompt engineering mastery comes from developing clear communication principles
focus on articulating your thoughts precisely, providing comprehensive context, and structuring requests logically
cultivate these communication fundamentals because they directly transfer to AI interaction skills
you now have the complete curriculum from beginner to expert level
every concept builds systematically on the previous one
absorb this roadmap, execute deliberately with real projects, and master each component thoroughly
start today and become the prompt engineer others wish they could be
that's it for this thread
follow @EXM7777 for more
my free telegram for prompts, tools, resources and unfiltered thoughts ↓
how to learn anything 10x faster than anyone else:
here is the biggest mistake people make when studying: treating their brains like a hard drive
you can't just dump information and expect it to stick
your brain needs specific patterns and techniques to actually retain knowledge
that's where AI becomes so powerful
AI is the greatest learning companion because it:
- never gets tired of your questions
- adapts to your exact pace and style
- creates unlimited practice materials instantly
- remembers everything you've learned
- identifies patterns in your mistakes you'd never notice
how to grow from 0 to 10k followers using the feyman method:
most people think viral content needs to be sophisticated...
but it's actually the opposite
- the posts that go viral are the ones that make difficult concepts feel obvious
- the threads that get bookmarked explain hard things in simple words
- the creators who grow fastest are the best teachers, not the smartest people
richard feynman figured this out decades ago, now it's your turn to use his method for growth
this whole thing is applicable to every social media: Insta/Tiktok/X/Linkedin but i'll teach it to you through the lens of X as this is where i operate
the feynman technique isn't just a learning method
you can use this simple framework to create infinite content without having any skills
here's what we'll cover:
- what the technique actually is (most get it wrong)
- why simple explanations go viral
- step-by-step content creation process
they jump into building chatbots before understanding what tokens are, they try fine-tuning before mastering prompts, they attempt custom models before grasping embeddings...
this roadmap fixes that: going from complete beginner to dangerously capable in one focused month
before we move on to the deep stuff...
bookmark this thread & follow @EXM7777 for more
and if you're serious about learning AI, subscribe for free: aifirstbrain.com
here's the big shift that makes people rich with AI: stop using it like a fancy tool and start thinking WITH it every single day
most people add AI to what they already do, rich people rebuild everything around what AI can do
this changes how your brain works and separates those who make money from those who just talk about making money
before you can make money with AI, get good at these three things:
- writing prompts that give you exactly what you want every time
- teaching AI to understand your business and how you work
- building systems that run by themselves
here's how to unf*ck your life in 6 months using the AI-First Brain framework...
motivation or willpower won't help you, you need AI to rebuild every component of your life
the complete step-by-step system:
a thread 🧵
#1 let's audit your foundations
create a claude project called "unf*ck my life"
upload your context: current situation in business, health, relationships, finances, daily habits
anything, don't lie
prompt: "analyze my current state and identify the 3 highest-impact areas that will create cascading improvements across my entire life"
let AI be your mentor
#2 let's explore WHO you are as a person
use AI to build a comprehensive JSON profile:
- your values and principles
- your strengths and weaknesses
- past patterns of success and failure
- ideal future state across all life areas
this becomes the foundation for every AI interaction going forward