Greg Coquillo

Product Leader @AWS | Startup Investor | 2X Linkedin Top Voice for AI, Data Science, Tech, and Innovation | Quantum Computing & Web 3.0 | I build software that scales AI/ML Network infrastructure

Product leader with a passion for solving business use cases such as Growth, Go-to-Market, and Price Optimization. I owned P&L for commodity-based products, and leveraged AI to increase the average customer contract values across business industries. As a Product Leader at Amazon, I own a roadmap that drives the adoption of AI products through the Media Automation charter, which supports Private Brands’ YOY growth. I work with Data Scientists, Software Engineers and Business Intelligence Engineers to leverage Machine Learning and Big Data Analytics to design predictive models that enhance business decision-making and performance to accelerate growth, reduce Time to Market of products, monitor cross-geo compliance and import requirements, and ensure customer safety.

I am always curious and eager to learn how new technology affects our daily lives, and I love to support communities on their quest to adopt Artificial Intelligence across industries. Feel free to contact me if you have Data Science projects that you’d like to be showcased on this platform for visibility.

🌐I am a Global Business Leader with 12 years of experience and skills including Product Management, P&L management, Global Networking, EBITDA Optimization, Pricing Management, Margin Management, Product Management, Program Management, Operations and Supply Chain Management, Lean Manufacturing, Six Sigma, and Continuous Improvement.

🧘🏽‍♂️Soft Skills include: Communication, Collaboration, Lateral Thinking, Adaptability, Inspiration, Innovation, Empathy, Listening, Diplomacy, Organization, Responsibility, Leadership...

🎬🎥🎞 I really enjoy watching movies, and if I could redo it all over, I’d be a Sci-Fi script writer so I can be bounded by the limits of imagination.

(Opinions are my own)

Product Management, Media Automation

Owner of the AI vision and roadmap for Private Brand’s Compliance Division. Driving adoption of new technology, allowing my customers to scale their processes and increase productivity. Core responsibilities include:

-Building cross-functional teams consisting of Data Scientists, Software Engineers, Data Engineers, Product Managers and Program Managers, to plan and implement sophisticated AI projects
-Manage the New Initiative Intake Process
-Gather Business requirement artifacts
-Communicate roadmap definition and prioritization
-Coordinate User Acceptance Testing
-Manage Launch Announcements
-Prepare and communicate annual planning artifacts

Building Agentic AI systems beyond connecting APIs or LLMs is complicated, but not impossible.

This architecture lays the foundation for how AI agents think, communicate, and improve, covering everything from testing and observability to deployment and memory management.

Here’s a breakdown of the key layers and components that make up a scalable Agentic AI Architecture :

1.🔸Decomposition
Break down complex systems by domain (e.g., Coding Agent, Data Agent), by cognitive capability (Reasoning, Planning, Execution), or by agent role (Planner, Executor, Memory Manager, Communicator).

2.🔸Communication
Enable message passing between agents using inter-agent protocols or A2A (Agent-to-Agent) orchestration.
Support both single-agent and multi-agent setups for small or distributed workflows.

3.🔸Deployment
Deploy agents in containerized or serverless environments using Docker or Modal.
Support orchestrators like CrewAI or AutoGen for collective intelligence in multi-agent workflows.

4.🔸Data & Discovery
Integrate knowledge bases (like vector databases for RAG), memory stores (FAISS, Redis, Pinecone), and APIs for dynamic data access.
Context is passed using Model Context Protocol (MCP) for structured and real-time reasoning.

5.🔸Testing & Observability
Validate workflows end-to-end, test reasoning logic, and evaluate performance under real conditions.
Monitor using Weights & Biases, LangFuse, and track metrics like latency and task success rate.

6.🔸UI & Style
Provide intuitive feedback loops through visualization layers, dashboards, and self-reflective modes.
Enable collaborative, proactive, and goal-driven reasoning among multiple agents.

7.🔸Security
Protect access with token-based authorization and data encryption.
Include Trust Layers for human-in-the-loop validation and Policy Enforcement for safe execution.

8.🔸Cross-Cutting Concerns
Handle configuration, secrets, and environment management.
Support flexible frameworks like LangChain, AutoGen, or CrewAI for runtime execution and modular design.

Agentic AI is the future of automation - where AI doesn’t just assist but collaborates and learns.

Save this post to understand the architecture that powers the next generation of AI systems

#AgenticAI

No alternative text description for this image

AI agents are great at working alone. However, they can also be effective when operating within networks of collaboration.

The real power of AI lies in how these agents communicate, coordinate, and complement each other’s abilities.

Orchestration patterns define this collaboration which turns isolated agents into intelligent, goal-driven systems capable of solving complex tasks together.

Here are 6 orchestration patterns that power the next generation of AI systems :

1.🔸Sequential Orchestration
Agents work one after another - each passing its result to the next.
Perfect for structured, step-by-step tasks like data pipelines or analysis chains.

2.🔸Concurrent Orchestration
Multiple agents work in parallel, handling different parts of a problem simultaneously.
This boosts speed, scalability, and overall task efficiency.

3.🔸Group Chat Orchestration
Agents communicate in a shared conversation, refining ideas together.
Useful for brainstorming, collaborative decision-making, or generating consensus.

4.🔸Maker–Checker Loops
One agent creates or proposes; another verifies, corrects, or approves.
Ideal for maintaining accuracy, compliance, and quality assurance in workflows.

5.🔸Handoff Orchestration
Agents transfer control dynamically based on context or expertise.
Best suited for adaptive workflows like support systems or multi-step automation.

6.🔸Magnet Orchestration
A central “manager” agent dynamically assigns tasks to the right specialists.
Enables fluid, context-aware collaboration across multiple intelligent agents.

AI Agents are evolving fast and orchestration is what makes them powerful.

Learning how these patterns can help you build smarter, more collaborative AI systems can be a huge advantage.

#AIAgent

AI Agent Orchestration Patterns

📚LLMs in the Enterprise are finally getting the playbook they deserve… LLMs in Enterprise by Ahmed Menshawy and Mahmoud Fahmy provides practical guides for building real AI systems that operate at scale.

Most teams talk about LLMs in theory. This book focuses on execution. It bridges foundational concepts with the hands-on design patterns that matter when you are integrating models into production environments.

Here are the insights that stood out👇

1.🔸Enterprise LLM integration is a data architecture problem
The book breaks down how to design pipelines, tune retrieval, and structure data so models operate with consistency and low latency in real workloads.

2.🔸Scaling LLMs requires pattern-level thinking
They go deep on architectural patterns that reduce complexity, improve efficiency, and streamline deployment. This includes RAG frameworks, fine-tuning strategies, segmentation techniques, and evaluation patterns that teams often overlook.

3.🔸Performance is not just about bigger models
The authors show how to optimize model behavior with advanced inferencing engines, contextual model customization, and monitoring systems that keep applications predictable.

4.🔸Real enterprise value comes from operational rigor
Security, fairness, transparency, and accountability are not afterthoughts. They are part of the design process, especially when LLMs touch business workflows and customer data.

5.🔸AI teams win by mastering both concepts and impact
The flow of the book reflects the real enterprise lifecycle: Concept → Customization → Impact
A clear, structured way to think about turning LLM capabilities into business outcomes.

If you are building production AI systems, leading an LLM program, or preparing for the next wave of enterprise adoption, you should definitely get a copy of this book.

Enterprise AI is evolving fast. Understanding these design patterns early puts at a career advantage which allows you to shape the next generation of intelligent applications.

#LLM

Agentic AI vs Traditional AI: The Shift from Supervision to Autonomy

For years, Traditional AI has been like a skilled worker. It has been efficient, but dependent on human supervision.

Agentic AI, however, takes a different approach. It is a decision-maker that thinks, plans, and adapts without constant direction.

Let’s dive into what truly separates them 👇

Agentic AI: Smarter. Adaptive. Independent.

- Dynamic Learning: Perceives its environment, plans actions, and evaluates outcomes continuously.

🔸Goal-Oriented Thinking: Sets goals, creates sub-goals, and adjusts strategies like a human problem solver.

🔸Reasoning & Reflection: Learns from mistakes, refines decisions, and improves performance over time.

🔸Collaborative Agents: Multiple agents share context, delegate tasks, and synchronize for collective intelligence.

Traditional AI: Powerful but Limited.

🔹Static Learning Models: Train once, deploy, and manually retrain, with no real-time adaptability.

🔹Human-Dependent Execution: Waits for prompts or tasks, performs inference, and stops.

🔹Narrow Focus: Optimized for specific use cases without flexibility.

🔹No Self-Improvement: Requires human supervision for updates and tuning.

In Short:

- Traditional AI executes.

- Agentic AI thinks, plans, and evolves.

It’s the difference between automation and autonomy, a shift that’s redefining how AI systems operate, learn, and collaborate in the real world.

What other diffenreces have you noticed?

#AI

I’m the Founder & CEO of GrowthX AI, where we’re reimagining how companies scale. We scaled to $7m+ profitably in less than a year, and we just raised $12M Series A led by Madrona.

Before launching GrowthX AI, I spent 15+ years leading high-impact marketing and go-to-market teams at some of the world’s most innovative companies—from IBM and HPE to hyper-growth startups like HashiCorp, ServiceTitan, and UpKeep. Most recently, I was CMO at Deepgram.

Throughout my career, I've been focused on one thing: growth. I understand the pain points of startups and enterprises alike, and I’m passionate about fixing the broken systems holding growth back.

Marcel Santilli

Today we’re launching my CRAZY idea!

Investing $1M to build the most valuable resource for growth operators who want to be AI-native.

(I bought this domain before I started GrowthX AI btw)

Every day we get to help companies like Lovable, Ramp, and Webflow grow organically.

We’re experience insane organic traction:

  → $13m+ in revenue
  → Cash flow positive
  → 8-week waitlist for new customers


But everything started with ONE WORKSHOP. Giving away everything I knew. Genuinely trying to help and give value.

Hopefully by now I’ve earned enough trust with everyone to know this is not a marketing gimmick.

I believe the best marketing is no marketing. It’s building resources so valuable that people would be willing to pay for it.

That’s what we are doing!!

Launching a paid community and committing to invest $1m+ to make it by far the most valuable resource for GROWTH OPERATORS who want to be AI-native.

---

⭐️ Introducing the AI Led Growth Community ⭐️ 

I don’t ask for favors often, but if you ever got any value out of our content or things we’ve done, I’d be forever grateful for your support ❤️

Just comment GROWTH or leave a nice comment.

As a thank-you, I’ll DM you a 90% OFF discount to the community.

CEO @ GrowthX.ai 🇺🇸 🇧🇷 // Ex- Deepgram, Scale AI, HashiCorp, ServiceTitan // CMO, Advisor, Investor

I'm hiring for one of the most important for GrowthX AI: Chief of Staff (Special Projects)

This person will be an extension of me (founder/ceo in residence). 

This will be the hardest job and the most rewarding you'll ever had. 

BUT... before you DM, read the below and if you are hard nodding your head, keep going 😁


 → You have an inner drive and it bugs you others around you don't go as hard and wait for permission to fix stuff

 → You write to organize your thoughts (and pretty good at it)

 → You're ambitious and competitive (you want to win)

 → You've been obsessed with AI (learning, building, automating)

 → Your goal is to be a founder, CEO, COO or CPO

 → You're usually the ones your leaders tap to go fix something that no one has figured out (aka you've taken on completely new challenges multiple time)

 → You are intellectually curious and always learning just for fun

 → You are OCD and insanely organized + ALWAYS follows through


We grew ARR 55% from Q2 → Q3 + cashflow positive + get to work with some amazing brands like Lovable, Webflow, Ramp, Superhuman, and so many more!

DMs are open 👋


Likes/comments for each are super appreciated.

Some weeks are harder than others. 


it's easy to get discouraged when you have a tough week or a tough day. 

but as I tell my 2 yr old...


you can do hard things!


sometimes we need that reminder as well. 

I hope you all are enjoying the weekend and taking some time to recharge and re-energize yourselves. 

much love 💜

Congrats to one of our favorite customers, Lovable, for yet another INSANE milestone!


We've only been working with them for a few months here at GrowthX AI but it's already some of the most fun we've had.

Here's to keeping it going 🥂

We launched Lovable one year ago, and today we hit $200M ARR.

Here's our story:

We started with a small team in Europe in a co-working space. Almost no one knew who we were, and we didn’t know what was coming.

But that changed quickly...

We transparently shared everything that happened on social media, including product updates, metrics, and new team members. 

Then, thousands of people started sharing what they built with Lovable.

Now, we have one of the most active communities in tech, with over 70 community-run events happening this week alone. People all over the world build 100,000+ new projects on Lovable every day.

It’s not just Lovable that’s grown fast: our users have too...

Lumoo, Quicktables, and Plinq are all products built entirely on Lovable with $10k-$100k in MRR just months after starting.

Designers, PMs, and even developers inside large companies have grown into an important customer group: HCA Healthcare now focuses less on mockups and more on patient care, and Klarna ships weekly instead of quarterly using Lovable.

Today, we’re releasing multiple product updates (read more on our blog):

1. MCP servers: Linear, Jira, Notion, Confluence, n8n
2. Themes: set brand standards across projects
3. Improved visual edits: multi-select components & image generation

MCPs are live today. Themes & visual edits rolling out this week.

We're also opening offices in Boston and San Francisco and building a world-class leadership team. Year one proved it works. Year two is about scale.

To thank you all for this year: For the next 7 days, if you refer someone to Lovable and they publish a project you'll both get 50 credits (that’s 5x more than usual!).

We're looking forward to many more Lovable years ❤️

taplio

The Battle

Greg Coquillo

Marcel Santilli

Followers

Posts

Engagements

Likes

Performance ScoreGreg Coquillo's LinkedIn Performance

Performance ScoreMarcel Santilli's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Greg Coquillo

Marcel Santilli

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);}Greg Coquillo's LinkedIn Performance

Performance ScoreMarcel Santilli's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreGreg Coquillo's LinkedIn Performance