Armand Ruiz

Director Data Science & AI Elite

Leading the Product Management org for the AI Portfolio of products focused on Generative AI and Traditional ML. Products include: watsonx.ai and watsonx.gov

Vice President of AI Platform

I am building the world's largest team of 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐬 by

- Recruiting hundreds of new engineers around the globe
- Reskilling our existing talent
- Offering them top-quality training in new-generation AI

Responsible for Pre-Sales Generative AI Pilots with the new IBM watsonx.ai Platform.

Director watsonx team - Client Engineering

Director of the group IBM Data Science Elite team. We prove the value of IBM Watson solutions by co-creating pilots with our customers. I managed a team of 90+ data scientists that worked on 100s of complex AI implementations.

Director Data Science

I manage a rockstar team of Product Managers leading the product portfolio of IBM Watson AI products.

Product Director - Product Management, Watson Studio and Machine Learning

Leading new Data Science products for IBM

Lead Product Manager - IBM Data Science and Watson Machine Learning

Bring Open Source data science tech to IBM stack

Product Manager for Data Science Open Source Extensibility 

In charge of Data Science projects in EMEA

Data Science Advocate - IBM Data Science & Machine Learning

Support sales in Data Science opportunities

Technical Seller Data Science & Smarter Cities

Internship to bring new innovations to IBM

Intern - Technical Software Engineer, Extreme Blue

Vodafone

Optimize 3G network coverage using Data Science

Data scientist - Radio Optimization Engineering

Federació Catalana de Tennis

Tennis Coach

VP of Product - AI Platform @IBM

As the Director of AI Engineering at IBM, I lead the watsonx team, a global group of over 1,000 AI Engineers who work on cutting-edge Generative AI solutions for various industries. With more than 12 years of experience in AI, I have a passion for democratizing practical AI skills and empowering professionals to leverage AI to transform their business.

Previously, I managed IBM's Data Science and AI Elite, delivering complex AI implementations for hundreds of clients. 

I also led the product management of IBM Watson Studio and Watson Machine Learning, an AI platform used by hundreds of customers and SaaS apps powered by AI. I hold a Master of Science in Telecommunications from Universitat Politècnica de Catalunya and speak three languages: Spanish, Catalan, French, and English.

Connect with me!

✉️ JOIN MY NEWSLETTER: Every Saturday morning, you'll get 1 actionable tip to launch and grow your AI strategies in business in less than 4 minutes. → GO HERE: https://www.nocode.ai/

📧 Email: armand@nocode.ai
X: @armand_ruiz


"It is kind of fun to do the impossible"
All opinions are my own and don't represent my employer.

Called it. 🎯 The Model Context Protocol (MCP) is officially moving to the Linux Foundation under the new Agentic AI Foundation.

I’ve been saying for a while that open governance is the only viable path forward for AI infrastructure. Today’s news proves it.

This brings Anthropic, OpenAI, Microsoft, Google, and others under one neutral banner. 

10,000+ active servers. 
97M+ SDK downloads. 
Zero vendor lock-in.

If you want an ecosystem to flourish, you have to open it up. The era of Agentic AI just got a serious upgrade.

Read the news here: https://lnkd.in/g7vy5-x2

At NeurIPS2025, Google presented Titans, a new architecture that combines the speed of RNNs with the performance of Transformers. 

The trade-off between infinite context and computational cost is the biggest hurdle in AI right now.

While Transformers are accurate but expensive to scale, and linear models are fast but lose detail, Titans delivers the best of both worlds by introducing Test-Time Memorization.

The Core Innovation: Instead of a static state, Titans uses a deep neural memory module that actively updates while running, utilizing a "Surprise Metric":
- Low Surprise: Routine data is processed efficiently without clogging memory.
- High Surprise: Anomalies and key details are instantly integrated into long-term memory.

The Results:
- Scales effectively to 2M+ token context windows.
- Outperforms larger models (including GPT-4) on extreme long-context reasoning benchmarks.
- Generalizes beyond text to genomics and time-series.

This is a move from passive processing to active, efficient learning.

Jensen just dropped a masterclass on the future of AI. 

It was great to hear from him in a long-format podcast conversation. 

Three key insights he shared:

1/ Human language is the new syntax: The "tech divide" is closing. You won't need C++ to code the future; you just need to speak.

2/ The "30-Day" Mindset: Nvidia operates like they are always 30 days from bankruptcy. This paranoia fuels their innovation and resilience.

3/ Safety is an engineering problem: Forget the sci-fi movie plots. AI safety is just like cybersecurity—as capabilities rise, so do the guardrails.

Pic taken during my epic commute

JSESSIONID

li_at

Talks about #ai, #nocode, #deeplearning, #machinelearning, and #artificialintelligence

building AI systems

Current mood: "Joining a new company is akin to an organ transplant - and you're the new organ. If you're not thoughtful in adapting to the new situation, you could end up being attacked by the organizational immune system and rejected."

Learning fast, exploring the culture, and pushing myself to bring out the best work I’ve ever done. 

Loving the challenge. 🤩

Gemini 3 is here and it isn’t just another model release. It’s Google firing on every AI cylinder: infra, research, product, and distribution.

A few things stand out:

1.	Full-stack advantage, finally realized.
Gemini 3 is the first model shipped into Google Search on day one. That’s not just marketing ; it’s how you put frontier AI in front of billions.

2.	The agent era is no longer theoretical.
With Deep Think mode, long context, multimodal understanding, and real-time planning, Gemini 3 moves beyond chat. It’s not a chatbot. It’s a problem-solver.

3.	AI is getting better at “reading the room.”
It reflects a core shift: models are starting to grasp intent and nuance and not just data.

Benchmarks back it up: topping LMArena, solving “Humanity’s Last Exam”, setting a new bar in math and science tasks. But that’s the sideshow.

More info here: https://lnkd.in/gWeXGwhC

I cannot wait to try it out

As a leader, your job is to run a tight ship.

That doesn’t mean control. It means precision.

Clear goals. 
Clear roles. 
Clear standards.

In fast-moving teams, especially in AI, ambiguity is expensive and confusion kills momentum.  Alignment compounds it.

Scaling laws in AI are nowhere near finished. The latest Gemini 3 results show it clearly.

Pre-training: Many believed progress had plateaued. Yet the jump from 2.5 to 3.0 is one of the biggest leaps we have seen. When you improve data, architecture, and compute together, you keep breaking ceilings. No walls in sight.

Post-training: This might be the real frontier. We are still early in how we align, steer, and specialize models. The innovation curve here is just beginning, and the gains on 3.0 prove it.

Good insights from Deepmind engineers this week.

Better models are not coming slowly. They are coming faster.

Plan for continuous capability jumps, not incremental upgrades. The disruption curve is steepening.

𝗔𝗜 𝗪𝗼𝗿𝗹𝗱 𝗠𝗼𝗱𝗲𝗹𝘀 𝟭𝟬𝟭

Current AI is often described as a "statistical correlation machine." It predicts the next word or pixel based on patterns it has seen before. World Models represent a shift toward causal understanding—giving machines a way to simulate the future.

What is a World Model? Think of it as an internal flight simulator. Instead of just recognizing an environment, the AI builds a mental model of how that environment works. It uses this model to test hypotheses ("If I drop this glass, it will break") without needing to actually perform the action.

The "𝗟𝗮𝘂𝗻𝗱𝗿𝘆" Example Imagine training a robot to fold clothes.

- 𝗪𝗶𝘁𝗵𝗼𝘂𝘁 𝗮 𝗪𝗼𝗿𝗹𝗱 𝗠𝗼𝗱𝗲𝗹: The robot must physically interact with the clothes millions of times, learning through endless trial and error.

- 𝗪𝗶𝘁𝗵 𝗮 𝗪𝗼𝗿𝗹𝗱 𝗠𝗼𝗱𝗲𝗹: The robot simulates the physics of the fabric in its head. It plans the fold internally, predicts the outcome, and only moves its arm when it is confident. This results in safer, faster, and more generalizable learning.

𝗛𝗼𝘄 𝘁𝗵𝗶𝘀 𝗱𝗶𝗳𝗳𝗲𝗿𝘀 𝗳𝗿𝗼𝗺 𝗰𝘂𝗿𝗿𝗲𝗻𝘁 𝗟𝗟𝗠𝘀: While Large Language Models (LLMs) are masters of syntax and semantics, they often struggle with physical causality. World Models differ because:

𝟭. 𝗧𝗵𝗲𝘆 𝘀𝗶𝗺𝘂𝗹𝗮𝘁𝗲, 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝗿𝗲𝗰𝗮𝗹𝗹: They don't just retrieve information; they run mental experiments.

𝟮. 𝗧𝗵𝗲𝘆 𝗹𝗲𝗮𝗿𝗻 𝗹𝗮𝘄𝘀, 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝗿𝘂𝗹𝗲𝘀: They infer the physics of their environment from data rather than being hand-coded.

𝟯. 𝗧𝗵𝗲𝘆 𝗮𝗿𝗲 𝗽𝗿𝗼𝗮𝗰𝘁𝗶𝘃𝗲: They predict "what happens next" in a state-space, not just a token-space.

𝗧𝗵𝗲 𝗥𝗼𝗮𝗱𝗺𝗮𝗽: The next frontier is the convergence of these technologies. By combining the reasoning of LLMs with the grounding of World Models, we move closer to Embodied Intelligence—software that can read, watch, plan, and act in the physical world.

it is very cool to work everyday with people in person. i think  product innovation and magic really happens with real human interaction

It’s insane how many hours I’ve seen senior technical leaders burn on architecture charts. 

All that time spent polishing pixels... now you just describe it in plain English and boom and nano banana AI handles the rest.

By the way, this is a solid, modern and agile AI stack. To build at x10 speed you need to have the right building blocks.

Fortusight, Founder | AI advisor | Ex-Dir of Llama @Meta & Ex-VP of Watson @IBM

Fortusight's AI stack

A lot of people ask me this question, I'll start with the absolute core:
1. I use Agno for multi-agent framework, they're fast, elegant and robust.
2. Exa for web grounding, I consider Exa a bigger booster than LLM choice for my use case.
3. FMP for premium, clean, reliable financial data turned into tailored tools.

For LLMs, I use O3 for multi-agent orchestration and planning, GPT 4.1 for digesting web content and supporting my A1Facts flow; Flash2.5 for structured extraction and Gemini 3 pro for synthesizing investment thesis.

I constantly progress the choices of LLMs prioritizing quality over price.

For tools, I use Cursor with Opus 4.5 (recently replacing Gemini 2.5 pro); and Figma make - which I absolutely love.

For internal ops agents, (1) managing coverage requests (2) digesting user feedback (3) analyzing product analytics (4) writing my weekly newsletter -- all built with Agno and Gemini 3 pro.

Less exciting but just as critical :-) Streamlit for front end [being replaced with react], and Firebase for database/auth/analytics -- both choices have been really critical for prototyping rapidly with my users.

The "secret sauce" is secret (lol), but I will say solving factuality in evolving market dynamics is a significant effort, and using expert-system techniques and simulations augments LLMs where they are critically weak.

Happy to share more if you have any questions -- and obviously here's the link if you want to try it out (https://lnkd.in/g7eR86dr)

AI Evals Explainer

Generated with Nano Banana Pro

Introducing SAM 3D: Powerful 3D Reconstruction for Physical World Images

and it’s not your typical 3D reconstruction tool.

It does what previous models couldn’t:
- Reconstruct real-world objects and scenes from a single image.
- Handle occlusion, indirect views, and cluttered backgrounds.
- Estimate human pose and shape with surprising accuracy.

Why does this matter?
Because for the first time, we’re seeing 3D perception at the scale, quality, and accessibility of today’s 2D models.

The architecture behind SAM 3D borrows from LLMs: pre-training on synthetic data, followed by post-training on real-world images using a human-in-the-loop ranking engine. The result is a feedback loop that continuously improves both the data and the model.

The implications stretch far beyond creative media. Robotics. E-commerce. Sports medicine. Interactive avatars. You name it.

And the best part? 

It's fast. 
Real-time fast.

Meta’s already using SAM 3D to power a “View in Room” feature in Facebook Marketplace; turning static listings into immersive experiences.

The gap between virtual and physical is shrinking. SAM 3D is a serious leap forward.

Learn more:
- 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗮𝗻𝗻𝗼𝘂𝗻𝗰𝗲𝗺𝗲𝗻𝘁 𝗯𝗹𝗼𝗴: https://lnkd.in/g8w6dvAB
- 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗦𝗔𝗠 𝟯𝗗 𝗢𝗯𝗷𝗲𝗰𝘁𝘀 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗣𝗮𝗽𝗲𝗿: https://lnkd.in/gd_HQE9c
- 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗦𝗔𝗠 𝟯𝗗 𝗕𝗼𝗱𝘆 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗣𝗮𝗽𝗲𝗿: https://lnkd.in/gp3p9jaf
- 𝗗𝗼𝘄𝗻𝗹𝗼𝗮𝗱 𝗦𝗔𝗠 𝟯𝗗 𝗢𝗯𝗷𝗲𝗰𝘁𝘀: https://lnkd.in/gfwmcKGK
- 𝗗𝗼𝘄𝗻𝗹𝗼𝗮𝗱 𝗦𝗔𝗠 𝟯𝗗 𝗕𝗼𝗱𝘆: https://lnkd.in/g9CPHEXJ
- 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝘁𝗵𝗲 𝗣𝗹𝗮𝘆𝗴𝗿𝗼𝘂𝗻𝗱: https://lnkd.in/guSDTnU3

A sharp, modern AI tech stack for building a serious startup.

Fortusight from Shadi Copty lays out a blueprint that actually reflects where the industry is going:

multi-agent architectures, real-time grounding, premium data, and a diversified LLM strategy tuned to specific jobs rather than brand loyalty.

1/ Agno for agent frameworks.
2/ Exa for grounding.
3/  FMP for clean financial data.
4/ A portfolio of models (O3, GPT-4.1, Flash2.5, Gemini 3) each picked for its superpower.

Cursor + Opus 4.5, Figma Make, Firebase, and Streamlit/React for fast product loops.

And a layer of expert systems + simulation to fix factuality where LLMs keep failing.

This is the kind of stack that lets a small team punch far above its weight.

🚀

Open article: Financial Analysis App by fortusight.streamlit.app

🚨 Stop scrolling. The math on this is barely real.

Get a $799/mo institutional AI research platform for just $50/mo.

The catch: Only 10 spots open. 

RIAs & Fund Managers—this is a complete no-brainer. 👇

https://fortusight.ai/

I need your help 🙏

I'm looking for design partners for my baby startup that just got pre-seed funded.

If you know a wealth fund manager, a small RIA, a family office that wants to reduce their equity research costs from ~$75K to less than what they pay for starbucks coffee - share this link with them: https://fortusight.ai  

For 10 design partners, I'm giving away Fortusight for $50/month instead of $800/month for a year in exchange for feedback to help guide the product's development.

The beta with our users has been incredibly successful, with recurring usage of our equity deep dives.

This will propel the company forward, and one day I will find ways to repay your kindness - many thanks ❤️

The AI Consulting Network

Empowering businesses and individuals to harness the full potential of AI.

Founder & CEO

Jacob Sebag & Associates, P.C.

Coordinate and assist with real estate transactions for commercial and residential properties, ensuring effective communication with all relevant parties including brokers, title companies, managing agents, buyer's and seller's lawyers, and clients. Draft and negotiate multi-party operating agreements in connection with the formation of limited liability companies (LLCs). Prepare and finalize contracts and riders tailored to the specific needs of each co-op and condo apartment/unit purchase and/or sale transaction. Conduct thorough due diligence assessments, including title and lien searches, management questionnaires, financial statement analysis, and property record searches utilizing ACRIS. Prepare FIRPTA certificates, assignment/amendment agreements, estoppel agreements, lead-based disclosure agreements, resolutions for corporations/LLCs, retainer drafts, and invoices for clients. Draft stock purchase agreements, including stock powers, assignment certificates, and resignation agreements. Draft lease agreements and extensions, attend closings, and draft closing statements and adjustments, including transfer and real estate taxes.

Paralegal

Hirshmark Capital

Assisted in-house counsel by performing due diligence on potential borrowers to evaluate the risk for future commercial real estate loans. Drafted and tailored numerous operating agreements for both lender and borrower special purpose entities for senior and mezzanine loans, including loans with future funding, and obtain leverage financing. Analyzed lease agreements between landlords and tenants and provided legal analysis to various questions such as property tax implications and default status. Extracted relevant business terms from loan documents in a clear and concise manner to allow effective communication across both the legal and loan origination team.

Legal Intern

Assessed and performed IT general control testing to mitigate risk to the financial statement, evaluated whether controls were in compliance with SOX guidelines. Coordinated and performed SOC 1 and SOC 2 audits with multiple teams to ensure timely completion. Obtained and reviewed management policy documentation and procedures for compliance. Participated and led walkthroughs to assemble the control narrative and determine the scope of the SOX audit.

Associate

Human Care Services

Maintained care for 10 special needs residents, coordinating with 5 co-workers. Documented the progress and achievements, as well as behaviors for each resident on a daily basis.

Direct Service Provider

Camp HASC

Worked as a counselor at a special needs summer camp, responsible for all essential daily needs for 4 special needs adults (6 days a week, 24 hours a day). Facilitated effective management of workload and schedules. Implemented behavior plans, aided campers in daily activities, and administered medication under the direction of registered nurses and physiotherapists to help improve the well-being of the campers.

Direct Care Staff

I help Real Estate Professionals leverage AI to boost efficiency by 30% GUARANTEED or your money back | Fractional Chief AI Officer (CAIO) | Founder of The AI Consulting Network | Leading AI speaker | Podcast host

Is Your Business Missing Out on AI-Driven Growth? You're not alone.

You're trying to make sense of complex AI concepts, but you're left feeling overwhelmed and frustrated. 

Your competitors are implementing AI solutions, and you fear being left behind.

But what if there was a better way?

𝗘𝗻𝘁𝗲𝗿 𝗧𝗵𝗲 𝗔𝗜 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗶𝗻𝗴 𝗡𝗲𝘁𝘄𝗼𝗿𝗸. 

We don’t just help businesses implement AI—we help them multiply revenue, cut inefficiencies, and scale smarter with custom AI strategies.

What We Deliver:

AI Profit Acceleration → Identify hidden opportunities where AI can increase revenue & efficiency

AI Automation & Integration → Implement high-impact AI tools that save you 18+ hours a week

AI Growth Partner → Ongoing support to ensure AI drives measurable ROI in your business

What This Means for You:

18X Efficiency – AI replaces repetitive tasks so you can focus on high-value, profit-driving activities.

Faster Growth – AI-powered lead generation, marketing, and sales automation mean more deals closed in less time.

A Competitive Edge – While others are still "exploring" AI, you’ll be dominating your space with scalable automation.

Why Work With Us?

ROI-Driven AI – AI isn’t about trends; it’s about results. Everything we build is designed to increase revenue and efficiency.

Done-for-You AI Implementation – We don’t just consult. We build, integrate, and optimize AI solutions so you see an immediate impact.

Proven Process – AI success is predictable. We follow a structured process to assess, implement, and optimize AI for maximum ROI.

AI Isn’t the Future. It’s the Present.

The question isn’t whether you should use AI—the question is how fast you can implement it before your competitors do.

Ready to Gain 18+ Hours a Week and 18X Your Business?

Let’s talk. 

Click below to schedule a free consultation and see how AI can drive real business results for you.

📌 PS: Imagine what your business could do if AI handled the repetitive tasks so you could focus on growth. Let’s make it happen.

Avi Hacker, J.D.

I have Alex Hormozi on speed dial. He just doesn't know it.

Here's what I mean👇

I downloaded the free transcripts YouTube generates from his videos. 

Uploaded his books I'd already purchased. 

Fed it all into a custom GPT with specific instructions on how he thinks and responds.

Now, when I have a pricing question, I ask "Hormozi."

When I'm stuck on an offer, I ask "Hormozi."

When a client throws an objection I've never heard, I ask "Hormozi."

The answers come back in his voice. His frameworks. His logic.

I did the same thing with three other experts I follow.

Now I have a personal board of advisors available 24/7.

No $50K mastermind. 

No waiting for office hours. 

No hoping they reply to my DM.

Just instant access to the mental models of people who've already solved my problems.

Who would you add to your AI advisory board?

I help Real Estate professionals leverage AI to multiply their revenue and scale - WITHOUT adding overhead | Reclaim 18+ hours a week | Fractional CAIO | Founder, The AI Consulting Network | Top AI Speaker

No alternative text description for this image

Your competitors are still building underwriting models by hand.

You don't have to.

I just published 7 copy-paste prompts that turn Claude into your acquisitions analyst:

→ Build an institutional-grade model from scratch
→ Analyze value-add deals in 60 seconds
→ Clean up messy rent rolls automatically
→ Run multi-variable sensitivity analysis
→ Compare financing options side by side
→ Adjust comps with defensible methodology
→ Turn analysis into investor-ready memos

Each prompt does in 2 minutes what used to take you 2 hours.

The first one alone will change how you think about underwriting forever.

Full newsletter below👇

Open article: You don't need an underwriting model. You need 90 seconds. by open.substack.com

You don't need an underwriting model. You need 90 seconds.

What if the real disruption is not AI itself, but how fast we are willing to adapt to it?

This week we watched OpenAI hit code red on ChatGPT, Google roll out Gemini 3 Deep Think, and Anthropic ship Claude Opus 4.5.

On paper it is a great week for models.

For humans, it is a confronting one.

Sunday night is when the headlines fade and the quiet questions show up.

Are we actually changing how we work, or just scrolling the news about people who are?

Most teams I talk to say, “We are still experimenting with AI.”

Pilots, POCs, sandbox accounts everywhere.

But very few can point to one workflow that is radically different from 90 days ago.

That is the gap that keeps growing.

The models keep getting faster, cheaper, and more capable.

The humans keep promising to get serious about this next quarter.

So here is the reflection I am sitting with tonight.

If your workflows stayed exactly the same for the next 12 months, would your business be more competitive, or less?

Be honest with yourself first.

The strategy comes after that.

Stop trying to automate every part of your life.

Just because AI can do something, it does not mean you need to hand it off.

Some work is worth doing manually.

Some work teaches you how to think.

Some work sharpens your instincts so that when you finally automate it, you understand the process better than anyone else in the room.

AI is incredible leverage, but skipping the creative process completely comes with a cost.

You lose the reps.

You lose the insight.

You lose the intuition that only comes from the doing.

Use AI to accelerate, not to disconnect from the parts of the journey that actually make you better.

Where do you think people lean too hard on automation?

ChatGPT Group Chats launched globally.

Here are 7 ways real estate teams should use them:

→ Deal review sessions
→ Property comparison analysis
→ Client meeting prep
→ Due diligence coordination
→ Market research collaboration
→ Offer strategy war rooms
→ Training new team members

Each one has a prompt you can steal and use today.

Full breakdown in the newsletter 👇

Open article: ChatGPT Group Chats Are Here - 7 Ways Real Estate Teams Should Use Them Today by open.substack.com

ChatGPT Group Chats Are Here - 7 Ways Real Estate Teams Should Use Them Today

One question 10x'd my AI output quality.

Takes 30 seconds.

Works every time.

I shared it in this week's newsletter 👇

Open article: I haven't written a prompt from scratch in months by open.substack.com

I haven't written a prompt from scratch in months

My biggest productivity unlock this year was not another AI model, it was how I talk to my computer.

Wispr Flow quietly became the center of my workflow.

I crossed 102,968 words spoken inside the app, which is basically one book written by voice.

I use it for everything I used to dread typing.

Client emails.

LinkedIn posts.

Session notes.

Offers and proposals.

Instead of “I will get to that later”, I hit record, talk it out, and move on.

The magic is not just speed, it is how much easier it is to think when I am talking instead of wrestling with the keyboard.

This is not a paid ad, it is just the tool I reflexively open 30 to 50 times a day.

Hitting the hundred thousand word mark made me wonder if Wispr Flow gives out trophies or medals for this.

Either way, it has been one of the biggest unlocks in my ability to ship more work with less friction.

If you have never tried voice first workflows, this is the one place I would start.

This is the perfect example of how to treat AI the right way.

Zane did not ask AI to “do the deal for him.”
He used it to speed up the grunt work so he could spend more time on judgment, risk, and structure.

I love working with operators like Zane who know their craft and use AI as leverage, not a shortcut.

If you are underwriting a deal and still doing everything manually, study this breakdown and borrow the playbook.

President at Freedom Commercial Real Estate | Founder at Real World Equity | Creating 100% Passive and Cash Flowing Real Estate Opportunities for Investors | Telling the World About the Hope of Jesus

I underwrote a $3,510,750 McDonald's in Miami, Florida

I used AI to analyze the entire deal. 

Here's how the process works:

1. Find your favorite AI platform (I prefer Claude).
2. Get the OM from a property you like. 
3. Upload the OM to the AI platform. 
4. Create a prompt to dive deeper. 
5. Ask questions like:

- What are the tenant/landlord responsibilities?
- What are the rental increases in the lease?
- Who is a suitable replacement tenant?
- What are the demographics of area?
- What is the market rent per/SF?
- What are the traffic counts?

(The more thorough your prompt is, the better the results are)

These details will help you understand the deal. 

&

The better you understand a deal, the safer your money is. 

AI is an amazing tool.

Use it. 

P.S. I've been working with Avi Hacker, J.D.  
on how to best use AI in my business and it has been 1000% worth the time and effort. Reach out to him if you would like to step up your AI game!

This is what it looks like to live on the edge of what’s possible with AI.

Tonight at 10:45 PM, I had seven subagents running in parallel.

Each one breaking down code, hunting bugs, validating logic, and stress testing ideas that didn’t even exist a few hours earlier.

This is the work that happens when you’re committed to staying ahead, not catching up.

People see AI as a shortcut.

It’s not.

It’s a new frontier that rewards the people willing to explore it deeply, push its limits, and understand how far it can really go.

That’s the part most people never see.

The late nights.

The experiments.

The failures.

The breakthroughs.

And the constant drive to understand what’s coming next, so my clients don’t have to guess.

I push the boundaries every single day so the businesses I work with get clarity, speed, and strategy they can act on immediately.

If you want to operate at the edge instead of reacting to it, we should talk.

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The Battle

Armand Ruiz

Avi Hacker, J.D.

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Performance ScoreArmand Ruiz's LinkedIn Performance

Performance ScoreAvi Hacker, J.D.'s LinkedIn Performance

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taplio

The Battle

Armand Ruiz

Avi Hacker, J.D.

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);}Armand Ruiz's LinkedIn Performance

Performance ScoreAvi Hacker, J.D.'s LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreArmand Ruiz's LinkedIn Performance