Manthan Patel | Lead Gen Man
@leadgenman.bsky.social
I teach AI Agents & Lead Gen
AI Agents & Automation | Lead Generation
100K+ students · 200K+ community
Collab: manthan@leadgenman.com
AI Agents & Automation | Lead Generation
100K+ students · 200K+ community
Collab: manthan@leadgenman.com
Pinned
what’s the most expensive lie in tech you’ve ever heard?
for me, it was:
for me, it was:
Everyone uses LLMs. Almost nobody understands what's happening under the hood
Every LLM response goes through 6 steps
Here's what happens:
study this and you'll never look at AI the same way:
⭕ TOKENIZATION
Text gets broken into tokens (words, subwords, or characters)
Every LLM response goes through 6 steps
Here's what happens:
study this and you'll never look at AI the same way:
⭕ TOKENIZATION
Text gets broken into tokens (words, subwords, or characters)
November 24, 2025 at 1:23 PM
Everyone uses LLMs. Almost nobody understands what's happening under the hood
Every LLM response goes through 6 steps
Here's what happens:
study this and you'll never look at AI the same way:
⭕ TOKENIZATION
Text gets broken into tokens (words, subwords, or characters)
Every LLM response goes through 6 steps
Here's what happens:
study this and you'll never look at AI the same way:
⭕ TOKENIZATION
Text gets broken into tokens (words, subwords, or characters)
Keeping up with AI drops in 2025 be like:
November 22, 2025 at 11:41 AM
Keeping up with AI drops in 2025 be like:
Building AI agents in n8n?
You can't afford to miss this.
You can't afford to miss this.
November 17, 2025 at 11:52 AM
Building AI agents in n8n?
You can't afford to miss this.
You can't afford to miss this.
Someone just leaked 100 + paid n8n workflows‼
Searchable directory. Free templates. No paywalls.
Search anything (LinkedIn automation, email sequences, AI agents)
→ Download JSON
→ Import to n8n
→ Done
Want access?
Comment "LINK"
I'll send you the resource
Searchable directory. Free templates. No paywalls.
Search anything (LinkedIn automation, email sequences, AI agents)
→ Download JSON
→ Import to n8n
→ Done
Want access?
Comment "LINK"
I'll send you the resource
November 15, 2025 at 11:33 AM
Someone just leaked 100 + paid n8n workflows‼
Searchable directory. Free templates. No paywalls.
Search anything (LinkedIn automation, email sequences, AI agents)
→ Download JSON
→ Import to n8n
→ Done
Want access?
Comment "LINK"
I'll send you the resource
Searchable directory. Free templates. No paywalls.
Search anything (LinkedIn automation, email sequences, AI agents)
→ Download JSON
→ Import to n8n
→ Done
Want access?
Comment "LINK"
I'll send you the resource
Everyone building advanced n8n workflows uses these 4 nodes.
Save this cheatsheet. You'll need it.
Save this cheatsheet. You'll need it.
November 13, 2025 at 5:00 PM
Everyone building advanced n8n workflows uses these 4 nodes.
Save this cheatsheet. You'll need it.
Save this cheatsheet. You'll need it.
Here’s the ultimate AI stack of 2025
Everything you need to build, automate, and scale faster than ever.
Save this
Use it
Win with it
Everything you need to build, automate, and scale faster than ever.
Save this
Use it
Win with it
November 11, 2025 at 1:55 PM
Here’s the ultimate AI stack of 2025
Everything you need to build, automate, and scale faster than ever.
Save this
Use it
Win with it
Everything you need to build, automate, and scale faster than ever.
Save this
Use it
Win with it
Single-Agent vs Multi-Agent Workflow.
This visual explains it better than any article could.
Save it before you architect your next system.
This visual explains it better than any article could.
Save it before you architect your next system.
November 10, 2025 at 2:25 PM
Single-Agent vs Multi-Agent Workflow.
This visual explains it better than any article could.
Save it before you architect your next system.
This visual explains it better than any article could.
Save it before you architect your next system.
Someone your age just:
- Raised $1M for an AI startup
- Landed a $200K job from prompt engineering
- Shipped an app in 48 hours using GPT
Feeling behind?
- Raised $1M for an AI startup
- Landed a $200K job from prompt engineering
- Shipped an app in 48 hours using GPT
Feeling behind?
November 8, 2025 at 12:43 PM
Someone your age just:
- Raised $1M for an AI startup
- Landed a $200K job from prompt engineering
- Shipped an app in 48 hours using GPT
Feeling behind?
- Raised $1M for an AI startup
- Landed a $200K job from prompt engineering
- Shipped an app in 48 hours using GPT
Feeling behind?
what’s the most expensive lie in tech you’ve ever heard?
for me, it was:
for me, it was:
November 5, 2025 at 1:31 PM
what’s the most expensive lie in tech you’ve ever heard?
for me, it was:
for me, it was:
stop calling every AI model an LLM
let me break it down real quick:
what’s an LLM ?
A large language model that reads text token by token to understand and generate language.
but that’s just one type
here are others:
let me break it down real quick:
what’s an LLM ?
A large language model that reads text token by token to understand and generate language.
but that’s just one type
here are others:
November 4, 2025 at 5:24 PM
stop calling every AI model an LLM
let me break it down real quick:
what’s an LLM ?
A large language model that reads text token by token to understand and generate language.
but that’s just one type
here are others:
let me break it down real quick:
what’s an LLM ?
A large language model that reads text token by token to understand and generate language.
but that’s just one type
here are others:
Here's what kills most AI agents
→ Break when users don't follow the script
→ No retry logic when external APIs fail
→ Restart from zero every time something goes wrong
→ Can't handle multi-step reasoning without losing context
You need LangGraph
→ Break when users don't follow the script
→ No retry logic when external APIs fail
→ Restart from zero every time something goes wrong
→ Can't handle multi-step reasoning without losing context
You need LangGraph
November 3, 2025 at 12:47 PM
Here's what kills most AI agents
→ Break when users don't follow the script
→ No retry logic when external APIs fail
→ Restart from zero every time something goes wrong
→ Can't handle multi-step reasoning without losing context
You need LangGraph
→ Break when users don't follow the script
→ No retry logic when external APIs fail
→ Restart from zero every time something goes wrong
→ Can't handle multi-step reasoning without losing context
You need LangGraph
People throw around AI, ML, Neural Networks, Deep Learning, and Generative AI like they’re all the same thing
They’re not
Not even close
If you're building with AI but don't understand these layers, you're playing the game blind
They’re not
Not even close
If you're building with AI but don't understand these layers, you're playing the game blind
November 1, 2025 at 4:30 PM
People throw around AI, ML, Neural Networks, Deep Learning, and Generative AI like they’re all the same thing
They’re not
Not even close
If you're building with AI but don't understand these layers, you're playing the game blind
They’re not
Not even close
If you're building with AI but don't understand these layers, you're playing the game blind
AI is in the air and it’s getting harder to keep up !
From agents that talk to agents that think, breakthroughs are compounding fast.
Here’s a visual snapshot of 6 AI agent trends quietly reshaping how we build, work, and automate
Don’t sleep on this
From agents that talk to agents that think, breakthroughs are compounding fast.
Here’s a visual snapshot of 6 AI agent trends quietly reshaping how we build, work, and automate
Don’t sleep on this
November 1, 2025 at 1:21 PM
AI is in the air and it’s getting harder to keep up !
From agents that talk to agents that think, breakthroughs are compounding fast.
Here’s a visual snapshot of 6 AI agent trends quietly reshaping how we build, work, and automate
Don’t sleep on this
From agents that talk to agents that think, breakthroughs are compounding fast.
Here’s a visual snapshot of 6 AI agent trends quietly reshaping how we build, work, and automate
Don’t sleep on this
I built an automation that journals my entire workday at 7PM
It runs in n8n and pulls data from:
Gmail
Google Calendar
GitHub
Setup time: ~15 minutes
you can do it too.
It runs in n8n and pulls data from:
Gmail
Google Calendar
GitHub
Setup time: ~15 minutes
you can do it too.
October 31, 2025 at 7:15 PM
I built an automation that journals my entire workday at 7PM
It runs in n8n and pulls data from:
Gmail
Google Calendar
GitHub
Setup time: ~15 minutes
you can do it too.
It runs in n8n and pulls data from:
Gmail
Google Calendar
GitHub
Setup time: ~15 minutes
you can do it too.
Stop guessing !
9 expert guides from OpenAI, Google, and Anthropic with 601 real use cases and 7 enterprise lessons
Steal the playbooks that 2x output and cut build time from weeks to hours.
Save this and lock your 2025 AI plan today
9 expert guides from OpenAI, Google, and Anthropic with 601 real use cases and 7 enterprise lessons
Steal the playbooks that 2x output and cut build time from weeks to hours.
Save this and lock your 2025 AI plan today
October 31, 2025 at 3:54 PM
Stop guessing !
9 expert guides from OpenAI, Google, and Anthropic with 601 real use cases and 7 enterprise lessons
Steal the playbooks that 2x output and cut build time from weeks to hours.
Save this and lock your 2025 AI plan today
9 expert guides from OpenAI, Google, and Anthropic with 601 real use cases and 7 enterprise lessons
Steal the playbooks that 2x output and cut build time from weeks to hours.
Save this and lock your 2025 AI plan today
Multimodal RAG is cool
But we all know:
If it looks cool, it’s probably painful to build
Thinking about building Multimodal RAG this weekend?
Here’s what’s waiting for you:
🔴 Aligned datasets
collecting captioned images, narrated videos, paired docs
But we all know:
If it looks cool, it’s probably painful to build
Thinking about building Multimodal RAG this weekend?
Here’s what’s waiting for you:
🔴 Aligned datasets
collecting captioned images, narrated videos, paired docs
October 30, 2025 at 2:19 PM
Multimodal RAG is cool
But we all know:
If it looks cool, it’s probably painful to build
Thinking about building Multimodal RAG this weekend?
Here’s what’s waiting for you:
🔴 Aligned datasets
collecting captioned images, narrated videos, paired docs
But we all know:
If it looks cool, it’s probably painful to build
Thinking about building Multimodal RAG this weekend?
Here’s what’s waiting for you:
🔴 Aligned datasets
collecting captioned images, narrated videos, paired docs
Sick of:
— 5 open tabs with “maybe-useful” AI tools
— ChatGPT hallucinating your workflow
— Agent libraries that break on basic tasks
— People sharing tools without context
So I mapped 30+ AI agents by real use-case ‼
— 5 open tabs with “maybe-useful” AI tools
— ChatGPT hallucinating your workflow
— Agent libraries that break on basic tasks
— People sharing tools without context
So I mapped 30+ AI agents by real use-case ‼
October 30, 2025 at 5:45 AM
Sick of:
— 5 open tabs with “maybe-useful” AI tools
— ChatGPT hallucinating your workflow
— Agent libraries that break on basic tasks
— People sharing tools without context
So I mapped 30+ AI agents by real use-case ‼
— 5 open tabs with “maybe-useful” AI tools
— ChatGPT hallucinating your workflow
— Agent libraries that break on basic tasks
— People sharing tools without context
So I mapped 30+ AI agents by real use-case ‼
Here’s EXACTLY how DeepSeek ran a 70B model on 1 GPU without breaking accuracy ‼️
1. Precision Reduction
→ Float32 → INT4
→ 8x smaller memory
→ Preserved important patterns
⠀
2. Weight Clustering
→ Grouped similar weights into shared centroids
→ Millions of values reduced to thousands
1. Precision Reduction
→ Float32 → INT4
→ 8x smaller memory
→ Preserved important patterns
⠀
2. Weight Clustering
→ Grouped similar weights into shared centroids
→ Millions of values reduced to thousands
October 29, 2025 at 2:51 PM
Here’s EXACTLY how DeepSeek ran a 70B model on 1 GPU without breaking accuracy ‼️
1. Precision Reduction
→ Float32 → INT4
→ 8x smaller memory
→ Preserved important patterns
⠀
2. Weight Clustering
→ Grouped similar weights into shared centroids
→ Millions of values reduced to thousands
1. Precision Reduction
→ Float32 → INT4
→ 8x smaller memory
→ Preserved important patterns
⠀
2. Weight Clustering
→ Grouped similar weights into shared centroids
→ Millions of values reduced to thousands
Everyone’s out here buying Lamborghinis to deliver pizza
DeepSeek showed up with a tuned-up scooter and beat them to the door.
GPT-4 level performance. $5.6M price tag. 1 GPU.
Quantization flipped the game.
DeepSeek showed up with a tuned-up scooter and beat them to the door.
GPT-4 level performance. $5.6M price tag. 1 GPU.
Quantization flipped the game.
October 29, 2025 at 1:05 AM
Everyone’s out here buying Lamborghinis to deliver pizza
DeepSeek showed up with a tuned-up scooter and beat them to the door.
GPT-4 level performance. $5.6M price tag. 1 GPU.
Quantization flipped the game.
DeepSeek showed up with a tuned-up scooter and beat them to the door.
GPT-4 level performance. $5.6M price tag. 1 GPU.
Quantization flipped the game.
Writing your own MCP server in 2025 is like hand-coding HTML emails
Technically impressive
Spiritually bankrupt
There’s a tool that sets it up in 30 minutes OAuth, infra, everything
Comment “tool” and I’ll send you the name
Technically impressive
Spiritually bankrupt
There’s a tool that sets it up in 30 minutes OAuth, infra, everything
Comment “tool” and I’ll send you the name
October 28, 2025 at 4:42 PM
Writing your own MCP server in 2025 is like hand-coding HTML emails
Technically impressive
Spiritually bankrupt
There’s a tool that sets it up in 30 minutes OAuth, infra, everything
Comment “tool” and I’ll send you the name
Technically impressive
Spiritually bankrupt
There’s a tool that sets it up in 30 minutes OAuth, infra, everything
Comment “tool” and I’ll send you the name
🟥Before:
2 weeks to build a pipeline
500+ lines of custom code
Constant maintenance
I was the bottleneck
⠀
🟥After:
2 hours with visual workflows
AI agents write half the logic
Anyone on the team can ship
⠀
The best devs in 2025 are orchestrators
2 weeks to build a pipeline
500+ lines of custom code
Constant maintenance
I was the bottleneck
⠀
🟥After:
2 hours with visual workflows
AI agents write half the logic
Anyone on the team can ship
⠀
The best devs in 2025 are orchestrators
October 28, 2025 at 1:19 PM
🟥Before:
2 weeks to build a pipeline
500+ lines of custom code
Constant maintenance
I was the bottleneck
⠀
🟥After:
2 hours with visual workflows
AI agents write half the logic
Anyone on the team can ship
⠀
The best devs in 2025 are orchestrators
2 weeks to build a pipeline
500+ lines of custom code
Constant maintenance
I was the bottleneck
⠀
🟥After:
2 hours with visual workflows
AI agents write half the logic
Anyone on the team can ship
⠀
The best devs in 2025 are orchestrators
Multimodal AI sounds cool.
Until you’re 40 hours deep in data wrangling wondering if your model just hallucinated a molecule
Until you’re 40 hours deep in data wrangling wondering if your model just hallucinated a molecule
October 27, 2025 at 6:33 PM
Multimodal AI sounds cool.
Until you’re 40 hours deep in data wrangling wondering if your model just hallucinated a molecule
Until you’re 40 hours deep in data wrangling wondering if your model just hallucinated a molecule
Why RAG is non-negotiable for serious AI builds:
Most AI answers look right.
Until you try to fact-check them.
RAG fixes this
Retrieval-Augmented Generation grounds LLMs in verified info.
It works like this:
• Retrieve relevant data
• Filter for quality
• Generate using only what’s real
Most AI answers look right.
Until you try to fact-check them.
RAG fixes this
Retrieval-Augmented Generation grounds LLMs in verified info.
It works like this:
• Retrieve relevant data
• Filter for quality
• Generate using only what’s real
October 27, 2025 at 4:58 PM
Why RAG is non-negotiable for serious AI builds:
Most AI answers look right.
Until you try to fact-check them.
RAG fixes this
Retrieval-Augmented Generation grounds LLMs in verified info.
It works like this:
• Retrieve relevant data
• Filter for quality
• Generate using only what’s real
Most AI answers look right.
Until you try to fact-check them.
RAG fixes this
Retrieval-Augmented Generation grounds LLMs in verified info.
It works like this:
• Retrieve relevant data
• Filter for quality
• Generate using only what’s real
Stateless agents are like drunk toddlers with API keys.
Cute in demos !
Catastrophic in production !
LangGraph gives them a babysitter logic, memory, and control.
If your agents:
→ Need to store intermediate results
→ Loop or reflect on past steps
Cute in demos !
Catastrophic in production !
LangGraph gives them a babysitter logic, memory, and control.
If your agents:
→ Need to store intermediate results
→ Loop or reflect on past steps
October 27, 2025 at 1:18 PM
Stateless agents are like drunk toddlers with API keys.
Cute in demos !
Catastrophic in production !
LangGraph gives them a babysitter logic, memory, and control.
If your agents:
→ Need to store intermediate results
→ Loop or reflect on past steps
Cute in demos !
Catastrophic in production !
LangGraph gives them a babysitter logic, memory, and control.
If your agents:
→ Need to store intermediate results
→ Loop or reflect on past steps