2x Founder | Building AI systems behind fast-growing agencies, eCom & SaaS brands. Automate 80% of backend work.

If you want a business that can work without you, you're in the right place.

Keep reading if:

► You feel stuck.
► Your brand/agency is at full capacity.
► You want to grow the business, but you don't know how.
► You work with high-ticket clients, but processes are manual.
► Your staff makes mistakes and misses deadlines all the time.
► You do great work, but your client relationship deteriorates over time.
► You feel like the whole business is completely reliant on you to do everything.

I can help you.

A few years ago, I was just like you, experiencing the stress of running a business.

The good news is, I got through those tough days and now automate a tutoring agency that's turning over seven figures (and growing).

But before I tell you how dashboards and automation can fix all your problems, here's who I am and why you should care.

I'm Dashboard Lim, and in 2022, I scaled my business to seven figures. Today, I run a dashboard & automation agency to help other businesses scale, just as I did.

The same strategy I used to scale my business can work for you now: AUTOMATE , VISUALISE and SCLAE

Here are three reasons why it can help you:

1) Automation can do tasks in 1 minute that would take a human hours.

Imagine all those backend tasks your staff struggles with, now fully automated.

Once you activate automation, it works 24/7 and performs perfectly every time.

2) You can have a fully automated system live in less than 2 weeks.

Simply map out tasks and start building. You'll see the benefits instantly. No more spending hours per day getting updates from staff manually.

Imagine having a dashboard on your phone that gives you full visibility across all projects, without constantly checking in on staff.

3) Dashboards & AI Automation are the best investments you can make.

Let's say you can handle 30 clients a year, and your client LTV is $20,000. If you currently have ZERO systems in place, investing in some simple automations could increase your capacity by 10-30% in the next 2 weeks. That means you could take on an extra $60,000 to $180,000 worth of clients as a result.

Sounds great, right?

So, let me be your Chief Technology Officer!

I will:

► Create a business capability map that outlines everything you do every day.
► Identify which processes should be automated, and which ones shouldn't, to ensure you can spend as much time as possible with clients.
► Build the automated system for you in the most efficient and cost-effective way possible.
► Monitor the system 24/7 and fix bugs without you having to ask.

Let's talk ( link in bio )

I automated my entire workflow in 8 minutes.

No code (Just Claude)

HERE'S HOW I DID IT:

1. Opened Claude
2. Typed what I wanted
3. Claude generated n8n JSON
4. Pasted it in
5. It worked

8 minutes.
Done.

THE TIME COMPARISON:

Before: 2.5 hours (research, connect, debug, test)
After: 8 minutes (describe, paste, ship)

18x faster.

WHAT THIS IS:

→ Claude's MCP (Model Context Protocol).
→ Claude talks directly to n8n.
→ Claude understands n8n nodes.
→ Claude outputs valid JSON.

WHAT YOU CAN BUILD IN 8 MINUTES:

→ Lead gen automation (500+ leads/week)
→ Data pipelines (extract → transform → store)
→ Email sequences (trigger → send → track)
→ Customer service bots (classify → route → resolve)
→ Social media automation (monitor → collect → log)
→ MORE….

All of these.
8 minutes each.

THE PROBLEM:

⤷  Building n8n is HARD.
⤷  Even experienced builders struggle.
⤷  One wrong connection = everything breaks.
⤷  Most people give up after 2-3 workflows.

THE SOLUTION:

🔴 You don't need to understand n8n anymore.
🟢 You just describe what you want.
🟢 Claude builds it for you.

THE SETUP (15 minutes, one time):

1. Install Claude Desktop
2. Install Node.js
3. Run MCP server
4. Paste API key
5. You're done

Then 8 minutes per workflow forever.

WHAT THIS MEANS:

You can:
→ Build without learning n8n
→ Compete with automation agencies (18x faster)
→ Charge clients $1K-$3K per workflow
→ Build and sell templates
→ Stop hiring developers

WHY I'M GIVING THIS AWAY:

→ I could keep this secret.
→ I could charge $500 for setup.
→ I could sell workflows at $1K each.

But here's the thing:

If 10,000 people in your market know this before your competitors do, you win.
I'd rather have 10,000 builders than 100 customers.

More people building = bigger market = everyone wins.
Including me.

So I'm giving away everything.

WHAT'S INSIDE THE RESOURCE:

✅ Full setup guide (copy-paste)
✅ System prompt (the 2-month secret)
✅ Video walkthrough (23 min, every step)
✅ 5 workflow templates (ready to use)
✅ Troubleshooting guide (what breaks)
✅ 20+ premade workflows
✅ Best practices

READY?

Comment "MCP" below.

I'll send:
➡ Video (10+ min)
➡ System prompt
➡ Setup guide
➡ 5 templates
➡ Workflows (20+)

📌Follow me.
🔔I share automation tools that actually work.

Lian Lim

Talks about #ai, #dashboard, #automation, #businessconsultant, and #technologyconsultant

I just built a WhatsApp AI calendar assistant in n8n.

Took me 3 hours.

Now it's saving my clients 10+ hours per week.
And I'm giving away the complete system.

HERE'S WHAT'S ACTUALLY HAPPENING:

I say: "Schedule a meeting with the team tomorrow at 2 PM"

My WhatsApp AI checks my calendar. 
Finds the gap. 
Books it. 
Sends confirmation.

3 seconds.
No app switching. 
Just WhatsApp.

THIS SYSTEM:

✅ Costs $0.50/month
✅ Saves 10-20 hours per month
✅ You own it completely (not Calendly)
✅ Takes 3 hours to build once

HERE'S WHO THIS IS FOR:

→ CEO - Manage 50 meetings on WhatsApp. Stop app switching.
→ Solopreneur - Stop missing client calls. Book directly on WhatsApp.
→ Sales Rep - No more double booked calls.
→ Healthcare Provider - No more no shows.
→ Service Business - Customers book via WhatsApp instantly.

WHY THIS IS INSANE:

Two months ago I released this.
50,000+ people watched it.

GPT-5.1 dropped. 
Gemini 3 dropped. 
Models got 10X better.

Now it works INSANELY well.
And most people don't know it exists.

THE COST COMPARISON:

❌ Calendly Pro: $12/month
❌ Acuity Scheduling: $15/month  
❌ Virtual assistant: $500-2000/month

✅ Your own system: $0.50/month

You're saving $150+ per year.
More importantly: YOU OWN IT.
No vendor lock-in. 
No surprise price hikes.

WHAT YOU GET:

✅ 5-minute video tutorial (every step)
✅ n8n workflow (copy-paste ready)
✅ System prompts (tested on 50+ people)
✅ Meta setup guide
✅ Google Calendar API guide
✅ Real working examples
✅ Troubleshooting guide

WANT IT?

➡ Step 1: Follow me
➡ Step 2: Comment "WHATSAPP" below
➡ Step 3: I send you everything
➡ Step 4: Build it (3 hours)
➡ Step 5: You have a custom AI assistant

📌 Follow me + Repost this.
⚠️ Your competitors haven't figured this out yet.

BREAKING: I built 47 AI agents with 1 mega prompt for Gemini 3.

Now I'm giving it away.

THE PROBLEM:

Gemini 3 is powerful.
But building AI agents is confusing.

Most people spend weeks figuring out:
→ How to structure the workflow
→ Where error handling goes
→ How to connect APIs properly
→ Whether they need code
→ If their idea is even possible

Then they give up.

I SOLVED IT DIFFERENTLY.

I created a mega prompt that tells Gemini 3 EXACTLY how to build production-ready AI agents.

→ Copy-paste it into Gemini 3 Thinking.
→ It builds a complete, working specification.
→ You execute it in n8n, Zapier, or Make.

Agent is live.

WHAT YOU GET:

→ Complete agent architecture (no guessing)
→ Step-by-step node specifications
→ Proper error handling built-in
→ API integration specs (exact API calls)
→ Testing cases (validation ready)
→ Deployment checklist (launch-ready)
→ Scaling instructions (run 10 agents simultaneously)

IT WORKS FOR ANY AUTOMATION:

→ AI lead generation (500+ leads/week)
→ Customer support bots (24/7)
→ Content workflows (100+ posts/day)
→ Email sequences (personalized at scale)
→ CRM syncing (real-time updates)
→ Document processing (auto-extracted data)
→ Sales pipeline builders (qualified prospects)
→ Complex multi-step approvals

ONE prompt. Unlimited agents.

WHO THIS HELPS:

↪ Founders (automate without hiring)
↪ Developers (faster than building from scratch)
↪ Agencies (better client proposals + specs)
↪ Enterprises (consistent architecture every time)

You'll save 50+ hours this year.
That's $5K-$25K depending on your hourly rate.

Consultant time: $500-1000/hour
Agency build: $3K-8K per agent
Custom development: $25K+ per project

INSIDE THE BLUEPRINT:

✅ The exact mega prompt (copy-paste into Gemini 3)
✅ 3 complete example workflows (ready to modify)
✅ How to use with ChatGPT, Claude, Gemini
✅ Common mistakes to skip (save weeks)
✅ 10-step building checklist (launch-ready)
✅ Production-ready templates (n8n, Zapier, Make)
✅ 3 advanced prompts (error recovery, optimization, reasoning)

I tested this with 47 different AI agents in 72 hours since Gemini 3 launched.

Most worked on first try.
Some needed 2-3 hours of tweaks.

All got to working state within hours, not days.
✅ It's bulletproof.
✅ It's too powerful to gatekeep.

Only sharing this version with the first 50 people.
Once we hit 50, I'll update the template before releasing more.

1️⃣ Follow + Connect with me
2️⃣ Comment "GEMINI" below

(I'll DM you the complete mega prompt + the 3 advanced prompts once connected)

❗️ CONNECT FIRST

⚠️ Free for 24 hours ONLY
📌 First 50 ONLY
🔥 After that, behind paywall

Claude doesn't read text.

It reads numbers.
Here's the mind blowing part.

YOUR WORDS → NUMBERS → PATTERN MATCHING → MAGIC

That's it. 
That's the entire LLM.

STEP 1: TOKENIZATION
"Hello" = 2 tokens
Each token = a number (representing the word)

STEP 2: EMBEDDING
Each number transforms into 4,096 numbers (for Claude)
These 4,096 numbers exist in multi-dimensional space
Similar words cluster together

STEP 3: ATTENTION (The real magic)
The model asks: "Which words matter to each other?"

"The bank executive... report on the bank's finances"

When processing "bank" the second time:
→ It's NOT the same as "bank" the first time
→ Context changed everything

Attention mechanism = comparing every word to every other word simultaneously

STEP 4: TRANSFORMER LAYERS
Claude 3.5: ~100+ layers
GPT-5.1: Unknown (but bigger)
Gemini 3: Leads on math (23.4% on MathArena)

Each layer = pattern recognition + update

STEP 5: OUTPUT
Pick the most likely next token

That's it.

WHY THIS WORKS:

Old AI (RNNs):
❌ Read word-by-word
❌ Forgot early words
❌ Slow

Transformers (2017):
✅ Read all words simultaneously
✅ Each word "sees" all other words
✅ 100x faster training

One architectural change.
Everything changed.

THE NUMBERS THAT MATTER (November 2025):

Claude Sonnet 4.5:
→ Best coding (93.7%)
→ SWE-Bench: 77.2%
→ 200K context window

GPT-5.1 (Just launched):
→ Adaptive reasoning
→ Better conversational tone
→ CodeBench competitive

Gemini 3 (2 days ago):
→ Dominates math (23.4% MathArena)
→ LiveCodeBench: 2,439 Elo
→ 1M token context
→ Cheapest pricing

The race is INSANE right now.
Releases every week.
New benchmark records every 48 hours.

HOW TRAINING WORKS:

1. Take 600 billion tokens of text
2. Randomly hide words
3. Model tries to predict hidden words
4. Updates all parameters slightly
5. Repeat 100+ billion times
6. Emerges: reasoning, coding, creativity

Nobody programmed "reasoning in."
It emerged from token prediction.
That's the weirdness.

WHY LLMs HALLUCINATE:

→ Model learned: "X usually followed by Y"
→ You present: New X (never seen before)
→ Model predicts: Y (from the pattern)
→ But you needed: Z

That's hallucination.

Not stupidity. 
Pattern matching on unfamiliar data.

HERE'S WHAT'S HAPPENING (Right now, November 2025):

→ September 29: Claude Sonnet 4.5 launches
→ November 12: GPT-5.1 launches
→ November 18: Gemini 3 launches

All in 50 days.

Each one beats the last.
The release cycle is WEEKS now, not months.

By January 2026?
We won't recognize what's possible.

📌 FOLLOW me for daily AI breakdowns.
♻️ REPOST this so your network sees it.

Your AI just gave you wrong answers.

And you don't even know why.

The problem isn't your LLM.
It's how you're feeding it information.

Here's the thing:

→ There are two ways to use AI with documents.
→ One works.
→ One is costing you money right now.

REGULAR RAG (The Broken Way):

Let's say you ask: "Tell me about this person's career."

Regular RAG does this:
→ Searches for mentions of that person
→ Grabs the first few paragraphs it finds
→ Throws them at ChatGPT
→ ChatGPT gives you a incomplete answer

Why?

Because it only saw PIECES.

Like showing someone 3 puzzle pieces...
and asking them to describe the whole picture.

❌ They can't. 
❌ They don't have enough to work with.

---

GRAPH RAG (The Smart Way):

✅ Same question. 
✅ Different approach.

Graph RAG does this:
→ Reads all your documents
→ Finds every person, place, accomplishment, connection
→ Creates a MAP showing how everything connects
→ When you ask a question, it finds THE ENTIRE MAP related to your question
→ Gives ChatGPT the full story, not just snippets

The result?

Actually good answers. Not guesses.

THINK OF IT LIKE THIS:

→ Regular RAG = Someone asking you about a movie after only watching 5 random scenes
→ Graph RAG = Someone asking you about a movie after watching the entire thing

Obviously the second person gives you a better answer.

HERE'S HOW IT ACTUALLY WORKS:

First, the AI scans your documents and learns:
→ Who are the main characters?
→ What happened to them?
→ How are all these events connected?

Then it builds a web showing all these connections.

Now when you ask a question, instead of searching for random keywords, it:
→ Finds exactly what you're looking for in the web
→ Follows all the connections
→ Collects EVERYTHING related to your question
→ Feeds that complete picture to ChatGPT

No more guessing. No more missing context.

WHEN DOES THIS ACTUALLY MATTER?

If you're just searching for a single fact? Regular RAG is fine.

But if you need:
→ A real summary (not just fragments)
→ Understanding of how things connect
→ The full context of a situation
→ A good answer, not a mediocre one

Then Graph RAG is the difference between getting fired and getting promoted.

Your AI is only as smart as the information you give it.

→ Give it scattered pieces = scattered answers.
→ Give it the full map = actual intelligence.
→ Graph RAG just means you're being smarter about how you feed your AI.

So here's my question:

Are you still using basic search and grab RAG?
Or have you tried building a system that actually understands connections?

Jim Starr (Джим) (जिम) (吉姆)

I just built a $500 handbook teaching founders how to launch SaaS in HOURS.

❌ Not months.
❌ Not weeks.
✅ Hours.

And I'm giving it away.

Most founders don’t fail because of bad ideas.
They fail because they’re trapped in slow systems:

→ Waiting on developers
→ Planning instead of shipping
→ Copy/pasting data into spreadsheets
→ Running the business blind
→ Drowning in “manual work hell”

Meanwhile…

People using Gemini 3.0 + Lovable are launching SaaS products before lunch
and automating 20–40 hrs of operations overnight.

So I built the handbook I wish someone handed me years ago.

Here’s what’s inside:

→ The exact 7-phase system founders use to go from idea to live SaaS in hours
→ 50+ copy/paste prompts (PRDs, UX flows, edge cases, DB schemas, logic maps, analytics layers)
→ How to build dashboards that run your business like an 8-figure operator
→ A 2-day, 7-day, and 30-day execution plan
→ AI agent templates for onboarding, troubleshooting, automating workflows
→ Systems I use to help founders & ecommerce brands scale without chaos

✅ This isn’t “tips.”
✅ This is a plug-and-play architecture 
✅ For building software + systems at a pace your competitors cannot match.

If you’re a founder, ecommerce owner, or growing business and you want clarity, automation, and speed, this handbook will change the way you operate.

Want the full $500 Premium Handbook?

1️⃣ Connect with me
2️⃣ Comment “BLUEPRINT” below

(I’ll send it once we’re connected)

AI went from this (left) to this (right) in 3 months.

And you still think you can tell the difference?

Left: August AI model
Right: November AI model

↪ Same prompt.
↪ Completely different reality.
↪ Your competitors are already 2 versions ahead.

While you're optimizing for August, they're dominating with November.
By next quarter, the gap compounds.

HOW TO USE THIS NOW:

1. Go to Gemini
2. Click "Tools" → "Create Images"
3. Turn on "Thinking" mode (bottom left)
4. Use this master prompt:

"Generate a [SUBJECT] image with [STYLE]. Include [SPECIFIC DETAILS]. The composition should feature [FRAMING]. Use [COLOR PALETTE]. The mood is [ATMOSPHERE]. High-quality, photorealistic, professional lighting. No watermarks. Studio-grade output."

Example fill in:
"Generate a professional portrait with cinematic lighting. Include sharp detail on facial features and studio background. The composition should feature rule of thirds framing. Use warm gold and deep blue tones. The mood is confident and authoritative. High-quality, photorealistic, professional lighting. No watermarks. Studio-grade output."

✅ Copy that prompt. 
✅ Try it today.
✅ Want the full AI prompt pack with 50+ templates?
✅ Comment "PROMPTS" below and I'll send you everything.

🔔 Follow for real time AI strategies

Most people are copying yesterday's methods.
I show you what's actually working TODAY.

BREAKING: Google just dropped the AI model that kills everything else.

Gemini 3 is #1 on LMArena.
And it's crushing Claude and ChatGPT on every single benchmark.

Here's what just happened:

For 6 months, Gemini 2.5 Pro was the top model.
Today, Google shipped Gemini 3.

It replaced it in hours.
Not months. 
Hours.

THE NUMBERS DON'T LIE:

1501 Elo (highest ever recorded)
91.9% on GPQA Diamond (PhD-level)
1487 Elo on WebDev (best coder)
45.1% on ARC-AGI-2 (impossible score)

Google shipped it in Search on day one.
First time ever.

WHAT ACTUALLY CHANGED:

→ Claude: Best at long context (but Gemini has 1M tokens now)
→ ChatGPT: Most popular (but Gemini 3 is actually smarter)
→ Gemini 3: Better at literally everything else

The race just got brutal.

🔴 Before: AI models compete on capability
🟢 Now: Everything competes on integration speed

Google Antigravity (new platform) lets autonomous agents code entire apps.

→ You describe what you want.
→ Agents plan, code, validate.
→ No human touching the keyboard.
→ That's the new standard.

IF YOU CODE:

Stop using your current AI setup.
Gemini 3 coded the entire WebDev leaderboard into oblivion.

1487 Elo. 
Nothing compares.

If you're not testing it, you're losing to someone who is.

IF YOU BUILD PRODUCTS:

Your moat just got smaller.
Google Antigravity can build what took your team 3 months in 3 hours.

The question isn't "can AI replace us?"
It's "who gets to Antigravity first?"

THE PATTERN YOU SHOULD SEE:

→ Gemini 1: Saw the future (multimodal)
→ Gemini 2: Built the future (reasoning)
→ Gemini 3: Became the future (mastery)

3 releases in 2 years.
Each one destroyed the last.

Gemini 4? Don't even think about it yet.

✅ Search: deepmind.google/gemini (live now)
✅ App: Gemini free tier (serious capability)
✅ Developers: API access, Google Antigravity platform
✅ Free: All of the above. No paywall.

Test it today. Actually test it.

People testing this now are learning what's actually possible.
People who wait are getting shocked later.
Early movers understand the baseline.
Late movers wonder what they missed.

It's no longer "which AI is best?"
It's "who integrates first?"
Speed of integration > quality of model.

Google just changed the game.
Again.

---

♻️ Repost this to 10 people who need to see this.

Not because I need the engagement.
Because they need to know what's happening while they still have time.

🔔 Follow me if you want real insights, not headlines. 
📌 I don't post hype. I post what's actually shifting.

You're wasting 10+ hours every week on something that takes 10 minutes to automate.

Every morning:

→ Log Shopify, pull sales data
→ Jump to Meta, check ad spend
→ Back to spreadsheet, calculate profit
→ Still unsure if you're actually profitable

2 hours gone.
I built the CEO Dashboard to end this.

Every morning, you wake up to:
✅ Exact revenue yesterday
✅ Exact profit yesterday
✅ ROAS, CPA, AOV, margins
✅ Complete financial clarity

Zero manual work.
Now here's what's interesting.

Once they had the real numbers, they all asked the same question:

→ How do I improve these numbers?
→ That's when they realized: the problem isn't tracking.
→ The problem is scaling.

And that's exactly what my CEO Dashboard solves.
Get the CEO Dashboard:

→ Full n8n workflow (no code)
→ Setup video walkthrough
→ 50+ automation templates
→ Direct community access (1,000+ builders)

Setup: 10 minutes.
Result: True profit visibility forever.

But then?

✅ You see what else is possible.
✅ You see how builders are automating entire businesses.
✅ You see the systems that actually scale.

Most founders will pass.
They'll keep guessing on profit.

But you?

You'll know your numbers.
And you'll see exactly what to fix.

Want access?

1️⃣ Like this post 
2️⃣ Comment "CEO" below

(I'll DM you the PRIVATE invite link)

📌 PS: Repost to save a founder $6,000/year.

I'm giving this away free.

And it's going to hurt the entire $12M diet app industry.

I rebuilt a $12M AI diet app in 20 minutes using only no-code.

(Just n8n + one ChatGPT prompt.)

HERE'S WHAT IT DOES:

You input your goals + preferences.

The system generates a LIFETIME diet system. Not just a meal plan.

→ Personalized meals that adapt to your body + goals
→ Nutrition breakdowns for every recipe (calories, macros, micronutrients)
→ Automatic shopping lists generated in seconds
→ Fully automated backend that runs 24/7

All without hiring developers.

THE INSANE PART:

→ Built in 20 minutes.
→ Works like a $12M SaaS.
→ No code. No developers. No friction.

WHAT THIS SAVES YOU:

❌ 5-10 hours per week on manual meal planning
❌ Expensive developers ($150K+/year)
❌ Manual errors in nutrition tracking
❌ Complex backend infrastructure

✅ Fully automated system
✅ Works for 1 person or 1,000,000 people
✅ Scales infinitely
✅ Zero maintenance

Before:
→ Hire dev team ($50K setup + $15K/month)
→ Build for 6 months
→ Launch broken MVP
→ Spend $200K+ and never see returns

After:
→ Use n8n + ChatGPT
→ Build in 20 minutes
→ Launch fully functional system
→ Scale instantly to millions

WHO THIS WORKS FOR:

→ Fitness coaches (white label for clients)
→ Healthcare providers (personalized nutrition plans)
→ SaaS founders (launch your diet app in hours)
→ Nutritionists (automate client planning)
→ Food delivery apps (integrate personalized planning)
→ Wellness brands (build your moat)

INSIDE THE COMPLETE BLUEPRINT:

✅ The exact ChatGPT prompt (copy-paste ready)
✅ Full n8n workflow (plug-and-play)
✅ ChatGPT prompt library for diet generation
✅ Nutrition data integration guide
✅ How to customize for ANY diet type
✅ Scaling playbook (1 user → 1M users)
✅ Real testing results (meal plans generated in <2 seconds)
✅ How to monetize (pricing strategies included)

THE SYSTEM WORKS FOR:

Keto, vegan, carnivore, paleo, Mediterranean, calorie counting, macro tracking, muscle gain, fat loss, medical diets, allergies, religious diets.

→ ONE system. 
→ Infinite variations.

This isn't just about diet apps.
This is proof that $12M software can be built in 20 minutes with no code.

I'm giving you the exact system.

1️⃣ Follow + Connect with me
2️⃣ Comment "DIET" below

(I'll DM you the complete system once connected)

⚠️ Free for 24 hours only
📌 First 150 spots only

GOOGLE JUST LEAKED THE PROMPTING FORMULA THAT MAKES GEMINI 3.0 (2.1x SMARTER)

And 99% of people have NO IDEA it exists.

Most people using Gemini 3.0 are getting mediocre outputs.
Not because the model is weak.
Because they're prompting it like it's ChatGPT.

HERE'S WHAT CHANGED:

❌ OLD WAY:
"Write me a blog post about AI"
Result: Generic, forgettable, low-value

✅ NEW WAY:
[Structured prompt + context layers + reasoning depth]
Result: Expert-level, specific, actually useful

The difference? Following the prompting formula Google just leaked.

I spent 6 hours reverse-engineering Google's leaked documentation.

Tested it on 50+ different tasks.
The results were SHOCKING.

THE 5-LAYER GEMINI 3.0 PROMPTING STACK:

1️⃣ ROLE DEFINITION

Use: "You are [specific expert]. Your expertise includes [exact skills]. You've solved [specific problem] for [specific audience]."

2️⃣ CONTEXT STACKING

Use: [Background] + [Current situation] + [Desired outcome] + [Constraints]

Example:
"BACKGROUND: I'm building a SaaS for agencies
CURRENT: We have 47 clients, 8 manual workflows
GOAL: Automate 80% of our operations
CONSTRAINT: No engineering team, budget $5K/month"

3️⃣ OUTPUT STRUCTURE

Use: "Structure response as:
- [Part A]: [Specific format]
- [Part B]: [Specific format]
- [Part C]: [Specific format]"

4️⃣ REASONING DEPTH

Use: "Break this into 3 steps:
1) Think through [aspect]
2) Consider [counter-argument]
3) Synthesize into [specific output]"

5️⃣ VERIFICATION LAYER

Use: "After generating, verify:
✓ [Quality check 1]
✓ [Quality check 2]
✓ [Quality check 3]

If any fail, regenerate.
I tested this on different use cases:

→ Content creation: 2.3x better hooks
→ Code generation: 1.8x fewer bugs
→ Strategy development: 2.1x more actionable insights
→ Research synthesis: 3.2x better summaries
→ Email writing: 2.7x higher response rates

THE PROMPT TEMPLATE (Copy-paste ready):

Role: You are [specific expert]

Context:
- Background: [what led to this]
- Current situation: [where things stand now]
- Goal: [what success looks like]
- Constraints: [budget, time, resources]

Task: [specific thing I need]

Output format: [Structure here]

Quality criteria:
✓ [Criterion 1]
✓ [Criterion 2]
✓ [Criterion 3]

Verification: Check if output meets criteria. If not, regenerate.

WHY THIS MATTERS:

→ Gemini 3.0 just hit 1501 Elo (highest ever recorded).
→ But most people treat it like ChatGPT 3.5
→ They're leaving 50% of the model's power on the table.

Your competitors who know this framework?
✅ They're getting 2x better outputs.
✅ With zero extra cost.
✅ Using the same API.

That's an unfair advantage.

---

🔔 Follow me for more AI breakdowns that actually matter.

I share the most important developments each week.
I don't post hype. I post what's actually shifting the game.

Prompt like a pro in Google Workspace with Gemini

The reason your n8n workflows keep breaking has nothing to do with nodes.

It has everything to do with how you think.

Most builders don’t fail because they lack skill.
They fail because they design workflows like domino chains instead of system architectures.

And here’s the uncomfortable truth:

Your workflow doesn’t collapse at the point of failure.
It collapses at the point of assumption.

Let me show you:

1) You assume the input will always be clean.

It won’t.
And that one naive assumption destroys 14 nodes downstream.

2) You assume external APIs behave.

They don’t.
Timeouts aren’t bugs. They’re physics.
Architects plan for physics.

3) You assume logic should be clever.

Clever breaks.
Clear scales.

4) You assume actions are harmless.

They’re not.
One duplicate write can ruin a CRM, a pipeline, a week, a reputation.

5) You assume errors announce themselves.

They never do.
Silent failure is the tax you pay for skipping architecture.

The breakthrough?

Stop designing what your workflow should do.
Start designing what it should survive.

Because the real job of automation isn’t execution.
It’s resilience.

Your workflow shouldn’t run when things go right.
It should still run when everything goes wrong.

That’s the shift from builder → architect.
And once you make it, nothing you build will ever feel fragile again.

🔔 Follow me & Repost
if LinkedIn needs more real automation thinking instead of “drag-and-drop and pray.”

BREAKING: Sam Altman just declared a Code Red inside OpenAI.

And for the first time since 2022… it actually means something.

Because Gemini 3 isn’t “competitive.”
It’s existential.

I’ve watched this race for 3 years.
I thought the winner was already crowned.
I was wrong.

THE MOMENT THE MONOPOLY CRACKED

Nov 2022: OpenAI shocks the world.
Google is half-asleep.

Dec 2023: Gemini launches.
Misses expectations.
Everyone laughs.

But while we were laughing…
Google was training a monster.

2025 REALITY HITS LIKE A TRUCK

→ Gemini crosses 650M monthly users
→ ChatGPT daily actives drop 6% in two weeks
→ Gemini 3 crushes every major benchmark
→ Ships directly into Google Search on day one
→ Developers quietly migrate — cost + context = unfair advantage

Suddenly that $500B valuation isn’t a flex.
It’s a liability.

Because OpenAI is running into walls no one expected:

→ They need double-digit billions per year just to stay in the arms race.
→ They’re preparing another $100B raise.

And they’re losing the one thing you cannot buy:
The brains.

Researchers are flooding out the door.
Heading to Mira Murati’s Thinking Machines.
Heading to Meta’s Superintelligence Labs.
Heading anywhere with freedom, compute… and fewer guardrails.

The “talent moat” everyone bragged about?
Gone.

Two years ago, OpenAI felt inevitable.
Today, it feels… shaken.

Google has distribution no one can match.
Meta is shipping breakthroughs weekly.
Startups are poaching legends.
And the ground is moving under Silicon Valley’s feet.

✅ We aren’t watching a company battle.
✅ We’re watching a multi-polar AGI war ignite in real time.
✅ What a time to be alive.

Whose side are you on?

“GEMINI” or “GPT”?

♻️ Repost if you feel the power shift happening.

Microsoft just issued an ultimatum to every designer on Earth:

Learn Lovable.
Or don't get the job.

That's it. 
That's the message.

THIS SIGNALS SOMETHING HUGE:
Big Tech doesn't list requirements lightly.

If Microsoft is making it a requirement, it means:

→ Design is changing faster than most people realize
→ AI design tools aren't optional anymore
→ Designers who don't know Lovable are already behind
→ The next generation of designers won't use Photoshop. They'll use AI.

WHAT THIS REALLY MEANS:
Traditional designers are about to face a problem.

Microsoft is saying: "We need designers who can work WITH AI, not against it."

If you're a designer and you don't know:
→ Lovable
→ Cursor
→ Claude Projects
→ No-code design tools

You're playing the game from 2020.
Everyone else is playing 2025-2026.

→ 5 years ago: Design = Figma + Photoshop
→ Today: Design = AI + Figma + Human judgment
→ Tomorrow: Design = Mostly AI, some human oversight

This isn't opinion. Microsoft just confirmed it.

HERE'S WHAT'S HAPPENING:

Step 1: Companies realize AI can design faster than humans
Step 2: They make it a job requirement
Step 3: New designers learn AI-first, not design-first
Step 4: Traditional designers become expensive overhead

You can either lead this shift or get run over by it.

Designers who learn AI NOW will be:

✅ 10x faster than competitors
✅ Invaluable to startups (build faster, cheaper)
✅ The bridge between AI + human aesthetics
✅ Able to command higher rates (scarcity)
✅ First in line for Microsoft + Big Tech jobs

DESIGNERS WHO IGNORE THIS:

❌ Will compete on price.
❌ Will get slower work.
❌ Will watch AI designers eat their lunch.

If you're a designer:

1️⃣ Spend 2 hours learning Lovable THIS WEEK
2️⃣ Build something with it (not in Figma)
3️⃣ Post it on LinkedIn (show you understand the future)
4️⃣ Update your portfolio (AI + Human design combo)

That's it.
You're now ahead of 95% of designers.

THE TRUTH MICROSOFT ISN'T SAYING OUT LOUD:

They want designers who can:

→ Think in AI prompts
→ Iterate at AI speed
→ Know when to override the machine
→ Understand automation + human taste

THIS ISN'T JUST DESIGN:

Look at job requirements across tech:

→ Marketing: Now requires "AI content creation"
→ Sales: Now requires "sales automation tools"
→ Product: Now requires "AI design tools"

The pattern is clear:

Companies want people who amplify themselves with AI.
Not people who resist it.

WHAT TO DO RIGHT NOW:

Don't panic.
Don't ignore it either.

1️⃣ Learn Lovable & other AI (free to start)
2️⃣ Learn Cursor (for code + design)
3️⃣ Learn Claude Projects (for design thinking)
4️⃣ Combine them into a workflow

The designers who do this in the next 30 days will be positioned perfectly.

Which would you rather be:

❌ A designer who ONLY knows Figma
✅ A designer who knows Figma + Lovable + AI workflow

The answer is obvious.
Start today.

🔔 Follow me — I'm tracking every shift in how work is changing.

Cloudflare went down and literally broke the internet...

McDonald's couldn't sell burgers.
X couldn't load tweets.
ChatGPT couldn't chat.
Canva couldn't canvas.
Shopify couldn't shop.

Even Downdetector was down 🤣 

Elon Musk watching X go offline: "NOT THE TWEETS"
McDonald's workers staring at blank screens: "Do we just... hand them a menu?"
Cloudflare engineers: chugging coffee at 3am
ChatGPT: "I'm sorry I can't help you right now" (wasn't even trying)

THE WEBSITES THAT WENT DOWN:

X (Elon's baby just... stopped existing for a bit)
ChatGPT (can't even apologize properly when it's broken)
Canva (nobody could design anything pretty)
Shopify (e-commerce just died)
Uber (you couldn't even order a ride home)
Duolingo (your streak is gone)
Letterboxd (movie people couldn't flex)
Reddit, Snapchat, Roblox, Fortnite

Even nuclear plant background checks went down (that's not great ngl)

BREAKING: I built this MEGA prompt for people trying to make profitable SaaS without coding.

And it's working.

THE REALITY:

You want to build a SaaS.
But you hit a wall:

→ "I can't code"
→ "I don't know what to build"
→ "How do I validate ideas fast?"

You're not broken.
The process is.

I BUILT THIS DIFFERENTLY.
I created a mega prompt for non-technical founders.

→ Copy-paste into Claude.
→ Answer 5 questions.
→ Claude builds your entire SaaS specification.
→ You execute in Lovable (no coding).
→ First customers in weeks.

WHAT YOU GET:

✅ Complete SaaS thinking framework
✅ 5 validation questions (before coding)
✅ Lovable build sequence (step-by-step)
✅ n8n automation templates
✅ Customer acquisition script
✅ Pricing strategy
✅ Launch plan (30 days)
✅ Common mistakes to avoid
✅ Growth playbook ($5K MRR)

WHY THIS WORKS:

→ Non-technical founders validate faster. 
→ Build faster. 
→ Launch faster.
→ Developers overthink for weeks.
→ You move in days.

Everyone says "no-code is the future."
But most can't build a SaaS.

Why?
No THINKING framework. Just tools.
This prompt IS that system.

WHY YOU'RE FAILING:

❌ You picked an idea you LIKED (not one people would PAY for).
❌ You skipped validation.
❌ You spent weeks building.
❌ You launched to no interest.

✅ Not your fault.
✅ You needed the framework.
✅ Now you have it.

ONLY 50 PEOPLE GET THIS.

Why?
Once everyone has the same framework, the edge disappears.
Market floods.

First 50 get 3-6 months of advantage.
Door closes after.
Not reopening.

Want it?

1️⃣ Follow + Connect with me
2️⃣ Comment "SAAS" below

(I'll DM you the complete mega prompt + validation framework once connected)

❗️ CONNECT FIRST - I can't DM without connection

⚠️ Free for 48 hours ONLY
📌 First 50 ONLY
🔥 After that, behind paywall ($397)

---

P.S. This prompt was built by someone who couldn't code either.

I had the same walls you do.
Now I'm sharing the system that works WITHOUT coding skills.

I’m opening my private AI Automation Skool community (100% FREE)

(Yes, the same stuff “AI gurus” charge $500/month for.)

And honestly… I shouldn’t be doing this.

Most people are stuck learning AI the slow, lonely, confusing way:

→ Buying overpriced courses
→ Hoarding YouTube tutorials
→ Watching fake “automation gurus” flex screenshots
→ Still having zero real systems running

Meanwhile the people winning?
They’re inside communities with actual guidance, actual builds, and actual implementation.

So screw it.

I’m giving away FREE early access to my Skool community, where I’m teaching everything the internet gatekeeps:

→ Premium AI automation lessons
→ Full workflow breakdowns
→ n8n + Make builds
→ Agent setups
→ Video guides
→ Behind-the-scenes systems
→ Weekly deep dives
→ Private Q&A

❌ No paywall.
❌ No subscription.
❌ No “$497/mo mastermind.”
🟢 Just real education for people serious about winning in AI.

But here’s the catch:

☑ I’m only letting in quality people.
☑ If you’re not actually building, you won’t get inside.

Early access requirement?

Just subscribe to my YouTube channel. That’s it.
(Helps me filter action-takers from scroll-takers.)

If you want in:

1️⃣ Comment “SKOOL”
2️⃣ Subscribe to my channel
3️⃣ I’ll send the private access link once I verify you’re legit

📌PS: This will NOT stay free forever. When the doors close, they close.

Your AI agent just forgot what you told it yesterday.

And you don't even know why.

The problem isn't your model.
It's that you're still living in the RAG era.

Here's the thing:

→ There are three generations of AI retrieval.
→ One is dying.
→ One is barely hanging on.
→ One is costing you everything you're trying to build right now.

RAG (The Broken Way):

RAG was revolutionary in 2020.
Then the world moved on.

Here's how RAG actually works:

→ User asks a question
→ System searches for information
→ System retrieves whatever it finds first
→ ChatGPT gives an answer
→ Everything is forgotten

Why?

Because RAG has no memory.

It's like asking someone about your conversation from yesterday, and they have absolutely no idea what you're talking about.

❌ No continuity.
❌ No learning from past interactions.
❌ No personalization that actually sticks.

THINK OF IT LIKE THIS:

→ RAG = A librarian who finds books for you, but forgets you existed the moment you leave
→ Agentic RAG = A librarian who actually thinks about which books matter
→ Agent Memory = A librarian who remembers everything about you, learns your taste, and gets better every time you visit

Obviously the third person is the one you want helping you.

Agentic RAG (The In-Between Way):

This was the natural evolution.
The agent got smarter.

It started making decisions:

→ Should I even retrieve information?
→ Which source should I actually query?
→ Is this result even useful or am I wasting time?

✅ Better than basic RAG.
✅ But still fundamentally broken.

Why?

Because it still has amnesia.
The agent makes smarter decisions, but it forgets everything after the conversation ends.

It's like having a brilliant therapist who gives you perfect advice... but has zero memory of what you told them last week.

AI MEMORY (The Smart Way):

This is where everything changes.
Memory isn't just retrieval anymore.
It's read AND write.

Here's what the agent can now do:

→ Read from past conversations
→ Write new knowledge to memory
→ Learn from every single interaction
→ Remember user preferences
→ Recall important context automatically
→ Improve over time without retraining

WHEN DOES THIS ACTUALLY MATTER?

If you're just answering one off questions?
Agentic RAG is probably fine.

But if you need:

→ An AI that actually knows your business
→ Personalization that improves over time
→ Context that builds across conversations
→ True adaptive behavior, not just smart retrieval
→ An agent that remembers what you taught it

Then Agent Memory is the difference between a tool you tolerate... and a system that actually compounds in value.

SO HERE'S THE QUESTION:

Are you still using RAG from 2023?
Still asking your agentic system the same question over and over?

Or are you ready to build AI that actually remembers?

Because one of your competitors is.
And they're not going back.

Your aging report is costing you $50K+ per year. 

Every week, you download from Xero, clean the CSV, and fix broken columns.

Just to see who hasn't paid you.
That's 3+ hours wasted.
Every single week.

And the worst part?

By the time you finish cleaning the data, it's already outdated.
You're making payment decisions based on yesterday's numbers.

Here's what I built:

A fully automated Xero Aging Report system inside n8n.

It runs every morning.
While you sleep.
No downloads. No manual work. Just clean, real-time data in Google Sheets.

Here's what it does:

1️⃣ Connects directly to Xero
2️⃣ Pulls every unpaid invoice automatically
3️⃣ Cleans all the messy data (converts dates, flattens JSON, calculates totals)
4️⃣ Updates Google Sheets with fresh data every single day
5️⃣ Never touches the data again

What you actually see:

A CFO dashboard that shows:

✅ Total receivables at a glance
✅ How much is current
✅ How much is overdue
✅ Who owes you money
✅ How long invoices have been overdue
✅ Where to chase payments first

BEFORE:
→ 3+ hours every week on manual exports
→ Broken CSV files
→ Data is always outdated by the time you see it
→ You're chasing payments based on yesterday's numbers
→ Team keeps asking "can someone pull the aging report?"

AFTER:
→ 0 hours on manual work (it's fully automated)
→ Clean, organized data every morning
→ Real time visibility of what's due, paid, or overdue
→ Make payment decisions based on today's numbers
→ One dashboard everyone uses

Same business. 
Just automation.

Who needs this:
If you're running a business and you:

→ Spend hours manually pulling aging reports
→ Never know real-time who owes you money
→ Make decisions based on outdated data
→ Want to stop wasting time on manual exports
→ Need to track receivables without chaos

This system is for you.

Want the complete CFO dashboard + n8n workflow?
Here's how to get instant access:

1️⃣ Like this post
2️⃣ Comment "CFO" below
3️⃣ Connect with me
4️⃣ I'll send the complete system to your DMs immediately

(Must be connected so I can DM you)

🔔 Follow me for automation that actually works.

I share systems that save 40+ hours per month.
I don't share theory. I share workflows you can deploy today.

I hosted the craziest webinar with Jackson Blackledge yesterday

100+ ecom brands and agencies showed up…
We pulled back the curtain on everything.

Here's what we covered:

→ How we monitor 150+ ad accounts with zero manual work
→ The AI that replaced our entire SOP library
→ Competitor tracking that runs 24/7 automatically
→ Reporting automation saving 15 hours/week
→ The exact Slack alerts catching $23K in wasted ad spend

Jackson showed how Echelonn scales Google Ads without the chaos.
I showed how ecom brands automate CEO/CFO dashboards.

The Q&A went 40 minutes over time.
People didn't want to leave.

We might not do this again.
We might not release the recording.

But if we run another session, you need to be there.

Learn how 7-figure brands actually automate ops.
Not how gurus say they should.
Don't miss the next one (if there'll be any).

I'm giving away the FULL webinar recording.

What you're getting:

→ Complete webinar recording
→ How to monitor 150+ ad accounts (zero manual work)
→ The AI that replaced our SOP library
→ Competitor tracking system (runs 24/7)
→ Reporting automation framework (saves 15 hours/week)
→ Slack alerts that catch wasted ad spend ($23K caught proof)
→ CEO/CFO dashboards for ecom brands
→ Live Q&A (40 minutes of real questions)
→ Everything we shared, timestamped

No gatekeeping. Everything.

Who this is for:
If you're running ecommerce or agency and you:

→ Want to automate your operations
→ Need to monitor multiple ad accounts
→ Want to see what 7-figure brands actually do
→ Ready to stop doing things manually

This recording is for you.

Want the complete webinar recording?
Here's how to get instant access:

1️⃣ Like this post
2️⃣ Comment "WEBINAR" below
3️⃣ Connect with me
4️⃣ I'll send the full recording to your DMs immediately

(Must be connected so I can DM you)
And make sure to follow me to get future updates.

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