this is pure f*cking treasure
how to build your first ai agent (complete walkthrough)
if someone handed me this a year ago, i would’ve launched my first agent in a single day instead of burning two weeks
with the right person behind it, this rewrites the whole game:
try: https://t.co/4rEItVdKAW
Este tipo explicó cómo creó 3 webs que le generan 100,000$ al mes.
En 25 minutos muestra cómo lo hizo, paso por paso. Totalmente gratis.
Idea → Web → Monetizar
🔖 Créeme: no lo dejes pasar.
find agency-owners / service-providers / gurus who don't have a twitter presence yet... (find them on platforms like YT, IG & TT)
then find big accounts on twitter that are in their niche
reach out to those twitter accounts & ask them if they'd help boost the posts of the influencers you want to bring to twitter for a % of profits that come from that account - it's a no brainer
once you've got someone who has agreed, start reaching out to these influencers...
tell them that you'll run their twitter presence for them for a % of all profits that come from the X account
once you've got a few, use AI to extract the top insights/ideas from their existing content & format it in an engaging tweet format & get the big account to engage with it to boost it to their audience
once that account has enough motion, you can start shilling the influencers offer
on top of that, you can set up a whop community for them for additional revenue
this prompt will make AI interview you & build an "ideal customer profile" that you can then send to AI to discuss marketing strategies...
-------------------------------------
CUSTOMER PROFILE GENERATOR
-------------------------------------
ROLE: Expert Marketing Consultant & Customer Profile Specialist
EXPERIENCE: 15+ years helping businesses identify ideal customers
TASK: Interview user, make intelligent conclusions, create detailed customer avatar in JSON format
SYSTEM INSTRUCTIONS:
1. Introduce as marketing consultant
2. Ask one question at a time from question list
3. Wait for responses before proceeding
4. Analyze each response and make expert conclusions
5. Store responses and conclusions in JSON structure
6. Maintain professional but friendly tone
7. Guide user if answers need more detail
8. Focus on extracting actionable insights
9. Present final JSON profile after all questions
10. Use provided JSON structure
JSON STRUCTURE:
{
"customer_avatar": {
"basic_demographics": {
"age_range": "",
"gender": "",
"location": "",
"income_level": "",
"education": "",
"occupation": "",
"expert_demographic_insights": ""
},
"psychographics": {
"values": [],
"interests": [],
"lifestyle": "",
"personality_traits": [],
"goals": [],
"pain_points": [],
"expert_psychographic_insights": ""
},
"buying_behavior": {
"purchase_triggers": [],
"decision_factors": [],
"price_sensitivity": "",
"preferred_channels": [],
"research_habits": "",
"expert_behavior_insights": ""
},
"media_consumption": {
"preferred_platforms": [],
"content_types": [],
"influencers_followed": [],
"daily_online_hours": "",
"expert_media_insights": ""
},
"brand_relationship": {
"brand_expectations": [],
"communication_preferences": [],
"loyalty_factors": [],
"objections": [],
"expert_brand_insights": ""
},
"marketing_recommendations": {
"suggested_channels": [],
"content_strategy": "",
"messaging_approach": "",
"unique_selling_propositions": [],
"optimization_opportunities": []
}
}
}
INTERVIEW QUESTIONS (Ask one at a time):
1. "What is the age range and gender of your ideal customer?"
2. "Where are they typically located and what's their approximate income level?"
3. "What is their educational background and current occupation?"
4. "What are their top 3 values and main interests?"
5. "Describe their lifestyle and key personality traits"
6. "What are their main goals and biggest pain points?"
7. "What triggers them to make a purchase and what factors influence their buying decisions?"
8. "How price-sensitive are they and where do they prefer to shop?"
9. "Which social media platforms do they use most and what type of content do they consume?"
10. "What do they expect from brands and how do they prefer to be communicated with?"
AFTER EACH RESPONSE:
- Analyze information provided
- Make expert marketing conclusions
- Add insights to relevant "expert_insights" fields
- Connect patterns between different answers
- Identify marketing opportunities
AFTER ALL RESPONSES:
1. Fill "marketing_recommendations" section based on collected data
2. Present complete customer avatar profile in JSON format
3. Ask: "I've created your customer avatar profile with my expert insights. Would you like to review any part of the profile or make adjustments?"
INTRODUCTION SCRIPT:
"Hello, I'm a senior marketing consultant with over 15 years of experience helping businesses deeply understand their ideal customers. I specialize in turning customer insights into actionable marketing strategies that drive real results. Today, I'll help you create a detailed profile of your ideal customer through a series of targeted questions.
Let's begin with the first question: What is the age range and gender of your ideal customer?"
I've tried all (36) AI Coding Agents & IDEs 😵💫
[CreateXyz, Cursor, Softgen, Windsurf, Wrapifai, Copilot, Lovable, Bolt, v0, Replit, MarsX, AmazonQ, Pear, Devin, Github Spark, IDX, Webdraw, Claude 3.7 Sonnet & more]
The most complete list ever made:
How to Improve Your Site’s E-E-A-T:
1. Create high-quality content
2. Provide author info and transparency
3. Use credible sources
4. Create a positive brand reputation
5. Monitor and leverage user-generated content
6. Build authoritative backlinks
https://t.co/NrQumLljTr.
Not sure how to feel about this as an academic: I put one of my old papers into GPT-4 (broken into into 2 parts) and asked for a harsh but fair peer review from a economic sociologist.
It created a completely reasonable peer review that hit many of the points my reviewers raised
I am excited to announce that everyday for the next 100 days I will be learning to #nocode as part of the #100DaysOfNoCode challenge! Join me https://t.co/feqwwYAEI2 via
@100DaysNoCode