Jahanzaib Ahmed

𝗛𝗲𝗹𝗽𝗶𝗻𝗴 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 𝘀𝗰𝗮𝗹𝗲 𝘄𝗶𝘁𝗵 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀.

I build 𝗰𝘂𝘀𝘁𝗼𝗺𝗶𝘇𝗲𝗱 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 that scale your business on autopilot—combining AI agents, intelligent automation, and strategic digital transformation to deliver real outcomes.

If you’re a solo founder, lean team, or startup looking to scale without adding headcount, I develop and ship production-ready AI agents  wired to CRM/help desk/calendars/docs—response time ↓, bookings ↑, 20+ hours/week saved.

𝗪𝗵𝗮𝘁 𝗜 𝗿𝘂𝗻

	- 𝗔𝗴𝗲𝗻𝘁𝗶𝗰𝗠𝗼𝗱𝗲 𝗔𝗜 — Custom AI agents for Ops, Support & Growth. We pick one KPI and launch a working AI Agent fast—outcomes, not hype.

	- 𝗚𝗿𝗼𝘄𝗪𝗶𝘁𝗵𝗔𝗜𝗔𝗴𝗲𝗻𝘁𝘀 — My education hub with agent tutorials, tips & templates for building, deploying, and scaling AI agents the right way.

𝗪𝗵𝘆 𝘄𝗼𝗿𝗸 𝘄𝗶𝘁𝗵 𝗺𝗲

	- 𝗢𝗽𝗲𝗿𝗮𝘁𝗼𝗿 𝗳𝗶𝗿𝘀𝘁: For 6+ years I’ve run 𝗘𝗰𝗼𝗺𝗣𝗮𝗻𝗱𝗮, an e-commerce agency at $30k+ MRR—systems, service delivery, and client results are my defaults.
	- 𝗣𝗿𝗼𝗼𝗳 > 𝗽𝗿𝗼𝗺𝗶𝘀𝗲𝘀: Clear scopes, visible metrics, and weekly iteration.

𝗦𝘁𝗮𝗿𝘁 𝗵𝗲𝗿𝗲

	- Check my Featured section to subscribe to 𝗚𝗿𝗼𝘄𝗪𝗶𝘁𝗵𝗔𝗜𝗔𝗴𝗲𝗻𝘁𝘀 Newsletter.
	- Want an agent live quickly? DM “AI Agent” for the scope + integrations + KPI plan.
	- 𝗙𝗼𝗹𝗹𝗼𝘄 𝗳𝗼𝗿 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁 𝘁𝘂𝘁𝗼𝗿𝗶𝗮𝗹𝘀 & 𝘁𝗶𝗽𝘀.

Chief Executive Officer

Working as Shopify Developer and E-commerce strategist.

Jahanzaib Ahmed 🌟 Shopify Developer 👨‍💻

Ryan Dsouza

Google doesn’t have too many AI tools.
It has zero instructions on how to think about them.

There are 30+ Google AI tools right now — and even advanced users are lost.
So here’s the mental model that fixes everything.

Forget “tools”.
Think in 7 engines.

🧠 Google’s AI Ecosystem — Explained with 7 Engines

1️⃣ Research Engine — Gemini
↳ Best-in-class deep research, not casual chat.
↳ Gemini Advanced = 1M-token context = massive synthesis.
↳ Quietly powers AI Overviews in Google Search.

2️⃣ Knowledge Engine — NotebookLM
↳ Fully source-grounded. No hallucinations.
↳ Turns your PDFs, notes, links into podcasts, briefs, visuals.
↳ The most underrated research tool on the internet.

3️⃣ Agent Engine — Gemini Gems
↳ Reusable AI assistants you configure once.
↳ Proposals, planning, reviews, SOPs on repeat.
↳ Set it → reuse forever.

4️⃣ Automation Engine — Opal
↳ Lightweight workflow automation.
↳ Less fragile than Zapier. Less complex than Make.
↳ Perfect for non-technical builders.

5️⃣ Experiment Engine — Google Labs
↳ Where Google tests the future in public.
↳ Brand DNA, mood boards, Gen Tabs, wild ideas.
↳ Most people ignore this. That’s the edge.

6️⃣ Build Engine — Google AI Studio
↳ Prototype fast. Explore models. Stress-test ideas.
↳ Not for full products yet — think sandbox.
↳ Serious coding today still favours Cursor + Claude.

7️⃣ Creative Engine — Multimodal Media
↳ Image editing + character consistency.
↳ Cinematic video with dialogue and audio.
↳ Ads, films, content pipelines — now AI-native.

The mistake everyone makes:
↳ Trying to learn everything.

The winning move:
↳ Master one engine per quarter.
↳ Ignore the rest.

👇
Which engine are you doubling down on next?

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Claude just learned how to remember how you work.
Skills turn prompt chaos into clean, reusable systems.

Here’s the sharp breakdown of Claude Skills — and why they matter 👇

1️⃣ Skills = Reusable Intelligence
Stop rewriting prompts.
↳ Write instructions once.
↳ Save them as a skill.
↳ Claude auto-loads the right one when needed.

2️⃣ Progressive Disclosure Is the Superpower
Context without context bloat.
↳ Only short metadata loads at startup.
↳ Full instructions load only if relevant.
↳ You can have hundreds (or thousands) of skills safely.

3️⃣ Skills Are Modular, Not Monolithic
Each skill is a smart folder.
↳ [skill.md](http://skill.md/) = metadata + core instructions.
↳ Extra markdown files for deep guidance.
↳ Subfolders for structured knowledge.

4️⃣ Skills Can Run Real Code
This isn’t just prompting.
↳ Claude can execute Python & JS via terminal.
↳ Custom tools (e.g. YouTube transcript fetchers).
↳ Language + logic = real workflows.

5️⃣ Skills ≠ MCP ≠ Sub-Agents (They Stack)
They solve different problems.
↳ Skills = how Claude thinks & works.
↳ MCP = external tools & integrations.
↳ Sub-agents = separate context windows for heavy tasks.

Big takeaway:
Skills give you better context management without losing capability.
Claude gets just enough information — exactly when it needs it.

What skill would save you the most time right now?

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CLAUDE JUST LEARNED HOW TO REMEMBER HOW YOU WORK

Walking isn’t just exercise—it’s a productivity tool.
Podcasts aren’t just entertainment—they’re personal growth on the go.

This year, I paired these two habits, and it’s been super useful!

1️⃣ Clearing My Mind
↳ Walking helps me reset and sparks creativity.

2️⃣ Learning on the Move
↳ Podcasts give me fresh insights and broaden my perspective.

3️⃣ Maximising My Time
↳ Combining movement and learning turns a simple walk into massive growth.

These small changes have made a big difference in how I approach challenges and stay inspired.

What’s a habit that’s worked for you? Let’s share below! 👇

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Speed isn’t just nice-to-have—it’s a startup’s lifeline.
Are you genuinely building fast, or just thinking fast?

Andrew Ng reveals: 5 Rules for Building Faster with AI

1️⃣ Concrete Ideas > Buzzwords
↳ “Use AI in healthcare” is fluff.
↳ “Book MRI slots online with AI” gets built today.

2️⃣ Agentic Workflows, Always
↳ Don’t make AI solve everything at once.
↳ Break it down: outline → research → revise.

3️⃣ Prototype Like You Mean It
↳ AI coding tools = 10x more prototypes, 10x faster kills.
↳ Don’t be precious—throw code away.

4️⃣ Gut Check > Endless Data
↳ If you know your space, trust your gut to move fast.
↳ Don’t let “analysis paralysis” kill your momentum.

5️⃣ Feedback > Features
↳ Engineers are outpacing product managers.
↳ Get strangers using your product—coffee shops, hotel lobbies, anywhere.

Which of Andrew Ng’s rules could most transform your speed right now?

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5 RULES FOR BUILDING FASTER WITH AI

From Prompting to Art Directing
OpenAI’s new image generation hits different

Here are 5 Reasons why-

1️⃣ Text in Images—Finally Done Right
Signs, infographics, comic strips—it nails in-image text.
↳ No more warped fonts or typos. It’s client-ready out the gate.

2️⃣ Design by Conversation
Say “Centre this” or “Make it more abstract”—and it just gets it.
↳ True multimodal design, powered inside ChatGPT.

3️⃣ Photorealism Meets Prompt Precision
Perfect 16-item grids. Realistic reflections. It’s pixel-perfect.
↳ Describe it clearly—get exactly what you imagined.

4️⃣ Character + Style Continuity
One cat. Ten comic panels. One brand. Multiple assets.
↳ Build entire visual worlds with consistent identity.

5️⃣ Free. Fast. Frictionless.
No apps. No tabs. Native to ChatGPT.
↳ Create, tweak, and remix—all in one seamless thread.

🧠 Visual communication rules the world. Now, anyone can master it.

👇 What will you build with it?

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OPEN AI'S NEW IMAGE GENERATION HITS DIFFERENT

NVIDIA’s CES 2026 keynote wasn’t a chip update — it was a manifesto.
Jensen Huang laid out the next decade. 

Here’s 5 trends that matters most:

1️⃣ AI Is the New Platform Shift
We’re in a once-in-a-generation reset.
↳ Software is trained, not coded.
↳ Apps are built on models, not around them.
↳ Every industry is now an AI-native industry.

2️⃣ The Entire Stack Is Being Rewritten
AI is reshaping the $10T computing world.
↳ GPUs over CPUs.
↳ Reasoning over predicting.
↳ Agents that choose models, tools, and clouds dynamically.

3️⃣ Agentic AI Replaces UIs
Click-and-type interfaces are dying.
↳ Enterprise software now converses, plans, and executes.
↳ Competitive edge = custom domain-specific agents.

4️⃣ Physical AI Will Eat Robotics
From industrial arms to humanoids.
↳ Trained in simulation.
↳ Deployed with AI + classical safety.
↳ NVIDIA Isaac + Omniverse are the training grounds.

5️⃣ AI Factories Will Build AI Factories
Industrial design goes virtual-first.
↳ Simulate → optimise → deploy.
↳ Manufacturing plants become intelligent systems.

Which part of Jensen’s vision feels most inevitable — or most insane?

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NVIDIA'S CES 2026 KEYNOTE WASN'T A CHIP UPDATE

$28M Down the Drain
Or the Best Decision Ever?

Windsurf’s $3B OpenAI deal started with a painful pivot and relentless honesty.
How do you know when to scrap millions in revenue for a moonshot?

5 Brutal Startup Lessons from Windsurf’s Journey
1️⃣ Big Bets > Incremental Gains
↳ Small wins add up to nothing. Only pivots unlock 10x (or 100x) growth.

2️⃣ Honesty Over Comfort
↳ Tell your team the truth—even if it hurts. Intellectual honesty beats pleasing investors or sticking to a failing plan.

3️⃣ Move First, Move Fast
↳ Adopt emerging tech before it’s obvious. Windsurf rode the generative AI wave before most had heard of it.

4️⃣ Build for the Future, Not the Present
↳ Don’t optimise for today’s tech. Ask: “Where will the frontier be in 2 years?”

5️⃣ Culture Is the Ultimate Moat
↳ Process, not perks, keeps talent. Interview every hire. Foster urgency and belief in the mission.

Which one would you bet your company on?
What’s the hardest lesson to learn?

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$28M DOWN THE DRAIN OR THE BEST DECISION EVER

Harsh Truth: Ideas are abundant ...but execution is rare.
Here are 4 powerful models to 10x your execution in 2026:

1️⃣ The 30-for-30 Method
↳ Commit to 30 minutes a day for 30 straight days.
↳ Short enough to feel manageable, long enough to build momentum.
↳ 900 total minutes (30 days x 30 minutes) delivers surprising results.

2️⃣ The Two-Day Rule
↳ Never skip two days in a row, no matter the habit.
↳ Missing one day is a pause, not a failure—but two creates a pattern.
↳ Keep momentum alive to avoid stagnation.

3️⃣ Habit Stacking
↳ Attach new habits to existing ones for structure.
↳ Examples:
• “I’ll brainstorm ideas during my morning coffee.”
• “I’ll stretch for 5 minutes after my workout.”
• “I’ll review my goals after my commute.”

4️⃣ Minimum Viable Progress
↳ Anything above zero counts.
↳ Aim for 30 minutes, but on tough days, even 5 minutes matters.
↳ Small, consistent actions compound into big results.

Takeaway: Execution isn’t about grand gestures.
↳ It’s about showing up daily, even in the smallest ways.

Which of these strategies will you try first? Let’s discuss below 👇
Happy Monday!

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Constraints Breed Innovation
The Insane Story of DeepSeek’s Founder, Liang Wenfeng 

DeepSeek didn’t just build an AI—Liang Wenfeng turned constraints into competitive advantages. 

Here’s how setbacks fueled game-changing innovations.

Key Innovations Over Setbacks

1️⃣ 2021: Hedge Fund Collapse → AI Pivot
↳ Setback: High-Flyer loses billions due to market volatility.
↳ Innovation: Liang shifts focus to AI, founding DeepSeek to explore AGI beyond finance.

2️⃣ 2022: U.S. AI Chip Export Ban → The Nvidia Play
↳ Setback: The U.S. bans high-end AI chips (Nvidia A100/H100) to China.
↳ Innovation: DeepSeek secretly acquires 10,000 Nvidia A100 GPUs, securing compute power for AI breakthroughs.

3️⃣ 2023: Skepticism Over GPU Hoarding → The Compute Bet
↳ Setback: Critics mock DeepSeek’s large-scale GPU purchases as irrational.
↳ Innovation: DeepSeek trains AI models more efficiently, proving that compute power is the new currency.

4️⃣ 2024: High Compute Costs → 8-bit Precision Breakthrough
↳ Setback: AI models require expensive 32-bit floating-point precision, increasing costs.
↳ Innovation: DeepSeek pioneers 8-bit (FP8) mixed-precision training, slashing memory usage by 75% without losing accuracy.

5️⃣ 2025: Competing With OpenAI → The Rise of R1
↳ Setback: Billion-dollar AI giants dominate the industry.
↳ Innovation: DeepSeek launches R1 (671B parameters), delivering state-of-the-art performance at a fraction of the cost.

Implications:
↳ DeepSeek’s efficiency-first AI models are shifting the competitive landscape.
↳ Compute scarcity forces companies to rethink AI scaling strategies.
↳ China’s AI labs are proving that cost-effective models can challenge U.S. AI dominance.
↳ Nvidia’s stock volatility underscores market sensitivity to compute-efficient AI models.

Looking Ahead
↳ AI innovation is no longer about who spends the most—it’s about who does more with less.
↳ Investors and businesses must adapt to a world where efficiency is king.
↳ The AI race is evolving fast—staying informed isn’t optional.

➡️ What’s your take on DeepSeek’s impact on AI innovation? Let’s discuss! 👇

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This one tip helped me visualise 2025.

Let go of daily fluctuations.
Focus on what truly matters.

This simple visual (thanks to Carl Richards) resonates deeply, especially as the year ends and we set goals for the future.

Growth isn’t about the ups and downs of a single day—it’s about consistency over time.

What’s your one tip as you plan for the new year?
Let’s share and inspire each other below! 👇

Wishing you a productive and reflective Sunday. 🌟

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Claude just got a second brain upgrade.
It no longer waits for your prompts — it works like a teammate.

Here’s how Claude’s new “Co-Worker” feature is quietly killing busywork:

1️⃣ Declutters your digital chaos
Tired of messy desktops? Claude auto-sorts 300+ files in seconds.
↳ Just say “organise my desktop” — done.

2️⃣ Builds branded slide decks
Claude grabs your colours, assets, and brand context to generate pitch decks.
↳ Skip PowerPoint hell. Focus on storytelling.

3️⃣ Edits & repurposes content
It converts your YouTube videos into LinkedIn lead magnets — emojis, audio tweaks, everything.
↳ Drag, drop, publish.

4️⃣ Learns your workflow
Teach Claude your clicks. It’ll remember and repeat them on autopilot.
↳ Record once. Reuse forever. No coding needed.

5️⃣ Pulls and analyses real data
From PostHog to Google Sheets, Claude logs in, grabs metrics, builds charts.
↳ You get trends, not headaches.

Which one would save your afternoons?

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Most AI products don’t fail because the model is weak.
They fail because they start with the wrong users.

If you’re trying to win over normal people on day one,
you’re playing the wrong game.

Here’s the real lesson founders miss 👇

🚀 How AI products actually get off the ground

1️⃣ You Don’t Need an MVP — You Need an MEP
Minimum Evolvable Product.
↳ Simple enough to ship. Flexible enough to change fast.

2️⃣ Your First Users Are a Search Problem, Not a Marketing Problem
Almost no one wants to be user #1.
↳ Hunt early adopters and pain-driven buyers — don’t persuade the masses.

3️⃣ Burning Pain Beats Brand Every Time
When the problem hurts, reputation is irrelevant.
↳ This is why ugly AI tools still get bought inside companies.

4️⃣ Charge Real Money Early
AI costs money to run. Feedback costs money to get.
↳ Paying users give sharper signals than free users ever will.

5️⃣ Early Users Steer the Evolution
Products are path dependent.
↳ Who adopts first quietly decides what the product becomes later.

Your first AI product doesn’t need to be impressive.
It needs to be alive.

💬 Which point are you underestimating right now?

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The Battle

Jahanzaib Ahmed 🌟 Shopify Developer 👨‍💻

Ryan Dsouza

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taplio

The Battle

Jahanzaib Ahmed 🌟 Shopify Developer 👨‍💻

Ryan Dsouza

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Ryan Dsouza's LinkedIn Performance

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Performance ScoreRyan Dsouza's LinkedIn Performance