Machina Profile picture
Jul 30 33 tweets 6 min read Read on X
how to master prompt engineering in 30 days:
start here: study how AI models actually work

they're prediction machines trained on internet text, not thinking beings

learn this fundamental concept first because it changes how you write every prompt

when you understand prediction vs reasoning, your prompts immediately improve
before we get into the real stuff...

i built a prompt that will create a personalized 30-day study plan to become a prompt engineer, it's available here: t.me/aifirstbrain

you can also check out my free newsletter with 1 edition per week, no ads/spam, just pure value ↓

aifirstbrain.com

now back to the thread...Image
master prompt anatomy next...

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 ↓

t.me/aifirstbrain

my free newsletter with 1 edition per week, no ads/spam, just pure value ↓

aifirstbrain.com

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More from @EXM7777

Jul 26
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

it's like having a PhD tutor available 24/7

sounds cool, right?
Read 43 tweets
Jul 17
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

but before we get into it...
Read 38 tweets
Jul 12
how to master AI in 30 days (the exact roadmap):
most people learn AI backwards

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
Read 31 tweets
Jul 11
the n8n automation ecosystem if FULL of fake gurus...

they can't show you how to build workflows because most of them are STOLEN, and they certainly can't teach you how to find clients

here's a blueprint to go from $0 to $10k/mo selling n8n workflows:

a thread 🧵
there are 3 goldmine niches that pay the most for automation:

- local service businesses (plumbers, HVAC, contractors)
- e-commerce brands ($1M-$10M revenue)
- SaaS companies (pre-$1M ARR)

each has specific pain points that bleed money daily...
let's start with local service businesses...

these companies are losing $50K+ annually to missed calls, slow quotes, and manual scheduling chaos

40% of leads die between initial contact and quote delivery

these businesses are stuck in 1995 while competitors automate their way ahead
Read 23 tweets
Jul 8
how to get rich (with ai) :
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

these work together and make each other stronger
Read 38 tweets
Jul 7
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 🧵 Image
#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
Read 31 tweets

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