how to make money with AI (the blueprint they don't want you to know):
forget everything you've heard about building AI SaaS products or launching automated TikTok channels...
the fastest way to profit from AI isn't innovation or disruption
it's solving problems businesses already have with simple, reliable solutions
while everyone's chasing the next big AI breakthrough, the smartest people i know are making steady money fixing existing pain points
the fastest way to profit from AI isn't innovation or disruption
it's solving problems businesses already have with simple, reliable solutions
while everyone's chasing the next big AI breakthrough, the smartest people i know are making steady money fixing existing pain points
before we get into the real stuff, you might want to check out these free resources:
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let me be clear about something first...
there's no "easy" way to make money with AI
but there's a crucial difference between simple and easy:
simple = straightforward process anyone can follow with effort
easy = requires no work, skill, or persistence
what i'm sharing is simple, definitely not easy - expect to work, but work methodically
there's no "easy" way to make money with AI
but there's a crucial difference between simple and easy:
simple = straightforward process anyone can follow with effort
easy = requires no work, skill, or persistence
what i'm sharing is simple, definitely not easy - expect to work, but work methodically
here's what actually works in the real world...
> find a problem tons of companies struggle with daily
> build a simple AI-powered solution that reliably solves it
> execute results predictably without drama
that's the entire blueprint - no fancy tech, no revolutionary products, just systematic problem-solving
> find a problem tons of companies struggle with daily
> build a simple AI-powered solution that reliably solves it
> execute results predictably without drama
that's the entire blueprint - no fancy tech, no revolutionary products, just systematic problem-solving
but first, you absolutely need the AI fundamentals
without understanding how these systems actually work, you're just throwing random prompts at ChatGPT hoping something magical happens
this foundation separates professionals from hobbyists
without understanding how these systems actually work, you're just throwing random prompts at ChatGPT hoping something magical happens
this foundation separates professionals from hobbyists
start with understanding how LLMs process information:
- they don't "think" like humans do
- they predict the most likely next word based on training patterns
- they work with probability distributions, not logical reasoning
this knowledge changes how you approach every single interaction
stop treating AI like a human, start treating it like a pattern-matching engine
- they don't "think" like humans do
- they predict the most likely next word based on training patterns
- they work with probability distributions, not logical reasoning
this knowledge changes how you approach every single interaction
stop treating AI like a human, start treating it like a pattern-matching engine
next: master token economics because this directly impacts your outputs and margins (when you're doing heavy work and volume with LLMs)
every word, space, and punctuation mark costs compute power
longer prompts = higher costs + slower response times
efficient prompts = better margins when you're scaling
learn to compress instructions without losing output quality
your bottom line depends on token efficiency
every word, space, and punctuation mark costs compute power
longer prompts = higher costs + slower response times
efficient prompts = better margins when you're scaling
learn to compress instructions without losing output quality
your bottom line depends on token efficiency
understand attention patterns and you'll write better prompts than 90% of people...
- LLMs focus more attention on the beginning and end of your prompts
- middle sections get significantly less cognitive "weight"
- strategic positioning of critical instructions matters enormously
this single insight transforms prompt effectiveness immediately
- LLMs focus more attention on the beginning and end of your prompts
- middle sections get significantly less cognitive "weight"
- strategic positioning of critical instructions matters enormously
this single insight transforms prompt effectiveness immediately
develop methodical prompting skills instead of hoping for lucky outputs...
> engineer role definitions that activate precise knowledge databases
> design context architecture that guides AI reasoning patterns
> structure output formatting that ensures reliable deliverables
everyone's writing random instructions, you'll start engineering cognitive systems
> engineer role definitions that activate precise knowledge databases
> design context architecture that guides AI reasoning patterns
> structure output formatting that ensures reliable deliverables
everyone's writing random instructions, you'll start engineering cognitive systems
learn image and video generation with structured prompts because visual work pays well...
> use JSON-formatted instructions for reliable visual outputs
> master parameter control for style, composition, and brand alignment
> build batch processing workflows for scalable production
visual AI offerings are where many profitable opportunities hide
> use JSON-formatted instructions for reliable visual outputs
> master parameter control for style, composition, and brand alignment
> build batch processing workflows for scalable production
visual AI offerings are where many profitable opportunities hide
master basic automation workflows to separate your offerings from traditional freelancing...
- connect AI outputs directly to operational processes
- trigger intelligent responses based on defined input conditions
- scale execution without manual intervention for every task
automation is what makes AI offerings profitable at scale
- connect AI outputs directly to operational processes
- trigger intelligent responses based on defined input conditions
- scale execution without manual intervention for every task
automation is what makes AI offerings profitable at scale
now that you understand the tools, let's find problems actually worth solving...
most people skip this research phase and wonder why their offerings don't sell
there are two methodical approaches that reliably uncover profitable pain points... choose based on your network and research skills
most people skip this research phase and wonder why their offerings don't sell
there are two methodical approaches that reliably uncover profitable pain points... choose based on your network and research skills
method 1: ask companies directly about their daily frustrations...
1. reach out to local operators you know personally
2. post targeted questions in LinkedIn industry groups
3. survey your professional network about time-wasting activities
real conversations with real people reveal real problems worth solving
this approach works faster but requires existing relationships
1. reach out to local operators you know personally
2. post targeted questions in LinkedIn industry groups
3. survey your professional network about time-wasting activities
real conversations with real people reveal real problems worth solving
this approach works faster but requires existing relationships
method 2: structured industry research for broader market opportunities...
this requires more upfront investigation work but uncovers problems across entire market segments
perfect for people who prefer deep research over networking
here's the exact framework i use...
this requires more upfront investigation work but uncovers problems across entire market segments
perfect for people who prefer deep research over networking
here's the exact framework i use...
use this prompt structure for comprehensive industry deep-dives:
"analyze [target industry] operational challenges in detail. identify: daily manual tasks that waste 2+ hours, communication bottlenecks that cost money, repetitive processes ripe for automation, data analysis gaps that hurt decision-making"
feed this into Claude with targeted industry context and prepare to take notes
"analyze [target industry] operational challenges in detail. identify: daily manual tasks that waste 2+ hours, communication bottlenecks that cost money, repetitive processes ripe for automation, data analysis gaps that hurt decision-making"
feed this into Claude with targeted industry context and prepare to take notes
example research outputs that led to profitable solutions:
- real estate agents spend 3+ hours daily manually qualifying leads
- e-commerce stores lose 30% of potential customers to slow email response times
- local restaurants struggle with regular social media posting
each validated pain point is a potential opportunity worth investigating
- real estate agents spend 3+ hours daily manually qualifying leads
- e-commerce stores lose 30% of potential customers to slow email response times
- local restaurants struggle with regular social media posting
each validated pain point is a potential opportunity worth investigating
once you've identified a problem, dive much deeper into who actually experiences it...
surface-level demographic data isn't enough for AI customization
understanding your target person's psychology transforms everything about execution and marketing messaging
surface-level demographic data isn't enough for AI customization
understanding your target person's psychology transforms everything about execution and marketing messaging
build comprehensive context profiles covering these essential areas:
- demographic information and operational context
- industry-related fears about challenges and competition
- daily frustrations and time-wasting activities they hate
- success metrics they actually measure and care about
- communication preferences and decision-making patterns
the more detailed, the better your AI outputs become
- demographic information and operational context
- industry-related fears about challenges and competition
- daily frustrations and time-wasting activities they hate
- success metrics they actually measure and care about
- communication preferences and decision-making patterns
the more detailed, the better your AI outputs become
why this deep persona work matters for AI offerings...
every single AI output from this point forward gets customized for your targeted audience
- prompts reference their exact fears and motivations
- solutions speak their industry language and address their context
- messaging resonates because it reflects their actual experience
this is the difference between generic offerings and converting proposals
every single AI output from this point forward gets customized for your targeted audience
- prompts reference their exact fears and motivations
- solutions speak their industry language and address their context
- messaging resonates because it reflects their actual experience
this is the difference between generic offerings and converting proposals
here are micro-solutions absolutely crushing it right now on platforms like Fiverr...
each one solves a defined, validated pain point for a well-understood persona using AI efficiency advantages
study these patterns, don't copy them directly
each one solves a defined, validated pain point for a well-understood persona using AI efficiency advantages
study these patterns, don't copy them directly
example: AI-powered logo design systems
target pain: small companies need professional branding but can't afford $5K agency packages
AI solution: generate 20+ logo concepts in minutes, refine based on client feedback iteratively
execution advantage: 48-hour turnaround versus 2-week agency timelines
there is a guy on fiverr making over $10k/month selling logos, there is nothing stopping you from doing something similar
target pain: small companies need professional branding but can't afford $5K agency packages
AI solution: generate 20+ logo concepts in minutes, refine based on client feedback iteratively
execution advantage: 48-hour turnaround versus 2-week agency timelines
there is a guy on fiverr making over $10k/month selling logos, there is nothing stopping you from doing something similar
example: branded video production workflows
target pain: social media managers burning out producing fresh daily posts
AI solution: generate scripts + automate video assembly with brand-aligned styling
execution advantage: 7 days of posts produced in 2 hours of actual work
scaling potential is insane with the right automations
target pain: social media managers burning out producing fresh daily posts
AI solution: generate scripts + automate video assembly with brand-aligned styling
execution advantage: 7 days of posts produced in 2 hours of actual work
scaling potential is insane with the right automations
example: deep SEO keyword research
target pain: writers guessing at what their target audience actually searches for
AI solution: analyze competitor gaps + search intent patterns methodically
execution advantage: actionable keyword lists with briefs included
i'm doing this myself in my agency and this is a solid part of my income
target pain: writers guessing at what their target audience actually searches for
AI solution: analyze competitor gaps + search intent patterns methodically
execution advantage: actionable keyword lists with briefs included
i'm doing this myself in my agency and this is a solid part of my income
example: automated video montage production
target pain: creators spending 10+ hours on basic editing for each video
AI solution: automatically identify highlight moments + generate polished cuts
execution advantage: transform raw footage into engaging posts in minutes
perfect niche: coaches, course creators, and personal brands
target pain: creators spending 10+ hours on basic editing for each video
AI solution: automatically identify highlight moments + generate polished cuts
execution advantage: transform raw footage into engaging posts in minutes
perfect niche: coaches, course creators, and personal brands
now let's structure these offerings into proposals that prospects can't ignore...
your offer presentation determines whether potential clients scroll past or stop to seriously consider buying
this is where most technically skilled people fail in commerce
your offer presentation determines whether potential clients scroll past or stop to seriously consider buying
this is where most technically skilled people fail in commerce
use this prompt to engineer compelling proposals:
"design package for [defined target persona] solving [validated pain point]. structure: core deliverable with clear specs, bonus additions that increase perceived value, realistic timeline promise, risk-reversal guarantee, 3-tier pricing options"
test multiple offer versions until one reliably converts browsers into buyers
"design package for [defined target persona] solving [validated pain point]. structure: core deliverable with clear specs, bonus additions that increase perceived value, realistic timeline promise, risk-reversal guarantee, 3-tier pricing options"
test multiple offer versions until one reliably converts browsers into buyers
examples of winning offer structures that convert:
"5 professional logo concepts + unlimited revisions produced in 48 hours or full refund"
"30 days of video posts produced weekly + engagement strategy guide included"
"SEO keyword goldmine: 100+ researched keywords with 6-month publishing calendar"
notice: defined deliverables + clear timelines + risk reversal + value stacking
"5 professional logo concepts + unlimited revisions produced in 48 hours or full refund"
"30 days of video posts produced weekly + engagement strategy guide included"
"SEO keyword goldmine: 100+ researched keywords with 6-month publishing calendar"
notice: defined deliverables + clear timelines + risk reversal + value stacking
great offering + perfect proposal means absolutely nothing without people who need what you're selling...
client acquisition is where most operations die, even with excellent execution capabilities
here's how to systematically find qualified prospects
client acquisition is where most operations die, even with excellent execution capabilities
here's how to systematically find qualified prospects
start with established platforms that have built-in traffic and trust systems:
Fiverr for immediate visibility and credibility building with lower-ticket offerings
Upwork for higher-value, longer-term project relationships
LinkedIn for direct B2B outreach and relationship development
each platform supports different stages of growth and client relationships
Fiverr for immediate visibility and credibility building with lower-ticket offerings
Upwork for higher-value, longer-term project relationships
LinkedIn for direct B2B outreach and relationship development
each platform supports different stages of growth and client relationships
Fiverr optimization formula that reliably generates orders:
- build keyword-optimized gig titles that match actual buyer search intent
- develop portfolios showcasing impressive AI-powered results and transformations
- price competitively during reputation-building phase, raise rates as reviews accumulate
- maintain fast response times to buyer inquiries (algorithm rewards responsiveness)
the platform algorithm favors active, responsive sellers with proven results
- build keyword-optimized gig titles that match actual buyer search intent
- develop portfolios showcasing impressive AI-powered results and transformations
- price competitively during reputation-building phase, raise rates as reviews accumulate
- maintain fast response times to buyer inquiries (algorithm rewards responsiveness)
the platform algorithm favors active, responsive sellers with proven results
build methodical outreach automation using everything we've researched so far:
- persona research -> targeted prospect identification on LinkedIn and industry forums
- industry pain points -> personalized problem acknowledgment in opening messages
- AI-generated message sequences -> reliable follow-up without manual tracking
automation handles the scale, personalization handles the conversion rates
- persona research -> targeted prospect identification on LinkedIn and industry forums
- industry pain points -> personalized problem acknowledgment in opening messages
- AI-generated message sequences -> reliable follow-up without manual tracking
automation handles the scale, personalization handles the conversion rates
sample outreach message structure that reliably gets responses:
"noticed [industry challenge] affecting [their type of operation] lately. recently built [solution type] that [outcome/result]. would [concrete proposal] help address [their exact pain point]?"
always reference their context and problems, never lead with your offering features
"noticed [industry challenge] affecting [their type of operation] lately. recently built [solution type] that [outcome/result]. would [concrete proposal] help address [their exact pain point]?"
always reference their context and problems, never lead with your offering features
now the most crucial part: executing results reliably every single time...
poor execution kills operations faster than poor marketing ever will
your reputation depends entirely on output quality and reliability
poor execution kills operations faster than poor marketing ever will
your reputation depends entirely on output quality and reliability
start by doing absolutely everything yourself initially:
> build completely streamlined workflows for each component
> document every single step for future automation or team delegation
> learn all the edge cases and problem scenarios before hiring others
this hands-on foundation enables proper scaling later without quality loss
> build completely streamlined workflows for each component
> document every single step for future automation or team delegation
> learn all the edge cases and problem scenarios before hiring others
this hands-on foundation enables proper scaling later without quality loss
develop repeatable processes that ensure reliable quality:
- detailed intake forms that capture all necessary client information upfront
- organized AI prompt libraries for reliable output quality across projects
- comprehensive quality control checklists before any handoff
- automated follow-up sequences for feedback collection and testimonial requests
streamlining directly equals scalability potential
- detailed intake forms that capture all necessary client information upfront
- organized AI prompt libraries for reliable output quality across projects
- comprehensive quality control checklists before any handoff
- automated follow-up sequences for feedback collection and testimonial requests
streamlining directly equals scalability potential
alternative approach: hire skilled freelancers to fulfill client orders...
- you handle all client communication and project management responsibilities
- experienced freelancers execute the actual technical work and deliverables
- your profit margin comes from process optimization and client relationship management
this requires much more upfront process design and quality control systems
- you handle all client communication and project management responsibilities
- experienced freelancers execute the actual technical work and deliverables
- your profit margin comes from process optimization and client relationship management
this requires much more upfront process design and quality control systems
my strong recommendation: start with complete self-execution...
> understand every aspect of the work intimately before delegating anything
> build your reputation based on direct quality control and personal attention
> learn optimal pricing and positioning through hands-on client experience
delegation works much better when you know exactly what excellent output looks like
> understand every aspect of the work intimately before delegating anything
> build your reputation based on direct quality control and personal attention
> learn optimal pricing and positioning through hands-on client experience
delegation works much better when you know exactly what excellent output looks like
here's what you've built using this approach:
1. AI leveraged throughout the entire operation from research to final output
2. reputation building on established platforms with existing traffic
3. streamlined execution processes that maintain quality at scale
4. high-margin offerings with minimal overhead and infrastructure costs
you're not freelancing randomly, you're literally building an ai-powered agency
1. AI leveraged throughout the entire operation from research to final output
2. reputation building on established platforms with existing traffic
3. streamlined execution processes that maintain quality at scale
4. high-margin offerings with minimal overhead and infrastructure costs
you're not freelancing randomly, you're literally building an ai-powered agency
why this approach succeeds when flashier strategies fail:
- you're solving validated real problems, not chasing technological trends
using established platforms for credibility instead of building audience from zero
- AI handles the technical heavy lifting while you focus on client relationships
- profit margins stay healthy because technology multiplies your capabilities
- you're solving validated real problems, not chasing technological trends
using established platforms for credibility instead of building audience from zero
- AI handles the technical heavy lifting while you focus on client relationships
- profit margins stay healthy because technology multiplies your capabilities
start with one targeted industry, one validated problem, one well-designed offering...
- perfect that entire system before expanding into adjacent opportunities
- build your professional reputation methodically through reliable execution
- let AI amplify your natural capabilities, never replace your strategic thinking
the real money is in systematic execution and reliable results, not breakthrough innovation
- perfect that entire system before expanding into adjacent opportunities
- build your professional reputation methodically through reliable execution
- let AI amplify your natural capabilities, never replace your strategic thinking
the real money is in systematic execution and reliable results, not breakthrough innovation
that's it for this thread
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