Vahid Jozi

Fractional CPO

FractionalCPO.com

We boost product teams at mid/late stage tech companies to achieve their biggest milestones.

We've helped companies in B2B/enterprise SaaS, marketplaces, telcos, and ranging form pre-seed to pre-IPO.

We specialize in product strategy, leadership team transitions, and strategic product delivery. We typically start by auditing the product and teams. Then we focus on your strategic goals and start executing to reach them. Our preference is to jump in and get our hands dirty at every step.

Partner

IONODES

A Hardware enable SaaS (HESaaS) platform for video IoT serving the likes of NASA, Disney, Fedex

Board Member

Advisor

Atomic

Atomic sits at the intersection of ideas, capital, resources, and talent. We partner with founders to build the best ideas into great companies.

Founder in Residence

Fellow.app

Helping our users to get the most out of their meetings and have more free time!

Fellow is the meeting management platform where teams gather to build collaborative agendas, record decisions, and keep each other accountable.

Head of Product Partnerships

BlackCart

We allow shoppers to try product at home before they decide to commit to the purchase. It's the fitting room experience at your home. We're working with all categories of ecommerce products via our Try-Before-You-Buy platform.

Chief Product Officer

Coveo

CVO.TO is an enterprise search company, services some of the worlds largest companies

As an Interim exec, I lead marketing performance strategy as an interim leader. We grew pipeline creating by a double digit multiple, with the help of the amazing internal team and agency partners.

VP of Growth

Demac Media

Acquired by Bounteous

Demac Media is a full-service commerce shop working on Shopify, Magento and Weblink.

At Demac Media, I was building artificial intelligence products focused on merchandising and inventory management for mid-market ecommerce companies.

Director of Product

Kimlik

Kimlik, acquired and currently decommissioned, was a 3rd party data management platform (DMP) focused on the digital advertising and e-commerce industries. We used a combination of audience modelling, machine learning, and natural language processing to help our clients better learn about their users and present them with content they preferred to consume.

Co-Founder & CEO

Unata Inc.

Acquired by Instacart

Unata is an omnichannel personalization and online retail platform for mid-market grocers

Head of Product

UNOapp

UNOapp and Digital MenuBox are a one stop marketing solution for the restaurant and hospitality industry.

Fractional CPO - Board member

i’ve been called a chaos engineer, a systems thinker, the guy you call when your product challenges feel unsolvable—i’ll take it.

as the founder of Fractional CPO, i think in systems, automations, and outcomes that matter. i don’t do
roadmaps. i don’t do over hiring. i don’t do endless meetings.

i ship, optimize and grow products—fast. 

a hands on approach that has resonated with modern companies like Deloitte, McKinsey, Instacart and Atomic.vc who trust Fractional CPO to help them build products that capture market share quickly.

a bit about myself:

- i’ve had exits, failures and everything in between as a 4x founder and former exec
- lived in 16+ countries before university - then I stopped counting
- trained to achieve my 2nd-degree black belt in Taekwondo
- meditation retreats are my mental reset
- the guy you call when you need a ride to the airport

one of my core beliefs is the power of a tribe—people who show up for each other, without being asked. this belief inspired the creation of Helpful Podcast—where I dig into the messiness of building, failing, and the people who show up when it counts.

let’s connect and build something real.

🎙podcast: [Helpful.Show]

🌐website: [FractionalCPO.com]

Agent Architect | Senior Software engineer @vivun | Cursor Ambassador

I’m an AI agent developer and a Cursor Ambassador who has been coding with AI for the past five year, since the early days of GitHub Copilot. As one of Cursor’s early users, I’ve run workshops across different domains and frequently speak on AI productivity, sharing how developers can get the most out of AI-powered tools.

My expertise spans the full generative AI pipeline, fine-tuning models,optimizing prompts, evals and building scalable agents.

Grounded in a strong testing-and-development background, I design AI agents that balance complexity with scalability, constantly refining and optimizing them to push the boundaries of what modern AI software can achieve.

Shrey Shah

It was an amazing experience speaking about testing and security for AI generated code with Cursor at the AIND Conference! Met some of the most talented people solving real issues with current AI!

Shrey Shah is live in The Landing to kick off the afternoon workshop with “Testing and Securing AI generated code with Cursor”.

#AINativeDevCon

LinkedIn locked me out for 7 days last week.

My crime?

Trying to accept 1,000 connection requests without clicking 1,000 times.

Here's what happened:

I got flooded with connection requests. Over 1,000 of them sitting there.

So I thought, "Why not write a simple script?"

I even added random delays between each click to make it look human. Tried to play by the rules.

LinkedIn didn't care.

Account restricted. 7 days. No access.

And this wasn't even my first time getting caught.

The first time, I was doing it manually. Just clicking really fast. Accept, accept, accept.

Still got flagged.

So let me get this straight:

☑ I can't accept connections efficiently
☑ I can't write a harmless script to save hours
☑ But bots flooding comment sections with "Great post!" spam? Totally fine.

The irony hits different when you realize:

LinkedIn punishes users for basic productivity automation.

But rewards engagement bots that pollute every single post with generic comments.

Here's my question:

Why not just give us an "Accept All" button?

Or at least don't punish people for solving a problem you created.

I'm not trying to game the system. I'm just trying to connect with people who want to connect with me.

Without destroying my index finger in the process.

Maybe I'm missing something here.

But it feels backwards to restrict genuine users while letting spam bots run wild.

If this story made you smile (or cry), hit the ♻️ reshare button. Someone in your network probably has 1,000 pending requests too.

Strands Agents just dropped its biggest update yet.

Developers can finally build AI agents in full TypeScript.

They even used Strands SDK to build the Strands Typescript SDK!

Here is everything you need to know.

1. Strands Agents SDK for TypeScript is now in preview
      ☑ Idiomatic TS experience
      ☑ Full type safety
      ☑ Async or await support
      ☑ Modern JavaScript or TypeScript patterns

If you live in VS Code, this feels like home.

2. TS now works everywhere
    You can run Strands in:
       ☑ Client apps
       ☑ Browsers
       ☑ Serverless runtimes like AWS Lambda
       ☑ Bedrock AgentCore

And yes, you can build your entire agent stack in TypeScript using the AWS CDK.

Strands is also coming to edge devices
 You get:
    ☑ Bi directional device streaming
    ☑ Ability to run agents on small local devices
    ☑ Integrations with local model providers like Ollama

Think local autonomy for robotics, IoT, and offline workflows.

4. Steering is getting a new experimental upgrade
       ☑ You can guide agents with incremental context instead of stuffing massive prompts.
     ☑ This keeps agents flexible, cheaper, and easier to control.

5. AgentCore now gives you enterprise grade control
      ☑ Guarantee agent operations stay within defined security boundaries
      ☑ Enforce policies at actor, action, and network level
      ☑ Create and manage policies in natural language
      ☑ Full traceability for every decision an agent makes

This is the part that finally makes agents safe for real companies.

The TypeScript SDK may sound like a small detail, but it unlocks the largest developer community in the world.

Check out Strands: 
 ☑ Strands docs: https://fandf.co/3XZPBHS
 ☑ SDK: https://fandf.co/4pxp80Q
 ☑ Tutorials: https://fandf.co/4pV7xiP


I wanted to thank Amazon Web Services (AWS) for sponsoring this post. 

I’m Shrey Shah & I share daily guides on AI.
If this helped you, tap the reshare so someone else sees it too.

Most devs are using Cursor like autocomplete, not like a teammate.

I have been coding with AI for 5 years and living inside Cursor for the last 3.

In that time, I have spent a ridiculous number of hours turning my daily dev habits into repeatable prompt systems and workflows.

Result:
530 resources that plug straight into your day as a developer.
Commands, rules, and Cursor hooks that let you:

☑ Spin up new features from product specs
☑ Refactor messy legacy code without losing intent
☑ Generate tests that actually match your edge cases
☑ Debug faster by turning logs into clear action plans
☑ Automate boring glue work so you can stay in flow

Whether you are a vibe coder or a senior engineer shipping production code, these workflows are built to help you turn AI from a toy into an engineering multiplier.

I want to share them with the community.

If you want my full Cursor resource pack:

Like this post
Repost it
Comment with the word: Cursor
I will DM you all 530 resources

I am Shrey Shah and I share daily guides on AI.

If this helps you code faster with AI, consider hitting ♻️ so someone in your network can grab the prompts too.

I built an AI interview prep agent using Strands Agents that spins up hundreds of specialized agents in parallel...🤯

And it creates comprehensive study guides in under 2 minutes.

Here's how it works:

One orchestrator agent coordinates everything.
But the real magic happens with the agent swarm pattern.

Instead of one agent doing all the work:
→ The orchestrator can find 100s of interview questions on any topic
→ It spins up a specialized answer agent for EACH question
→ All agents run in parallel, researching simultaneously
→ They compile everything into a structured study guide

I used the "agents as tools" pattern from strands.

Each tool is actually another full AI agent:
↳ Question Tool: Structures interview questions from research
↳ Answer Tool: Spins up hundreds of answer agents on demand
↳ Each answer agent has its own search tools and reasoning

The orchestrator just coordinates.
The specialized agents do the heavy lifting.

I tested it on Strands Agents interview questions.
Asked for 10 to 15 questions.

The result?
15 detailed questions with comprehensive answers.
All researched, analyzed, and compiled in under 2 minutes.

What makes Strands Agents powerful:

You can build multi-agent systems using different patterns:
→ Agents as tools (what I used)
→ Swarm pattern for specialized AI teams
→ Graph pattern (like LangGraph)
→ Workflow pattern for defined sequences

The best part?
Built-in observability out of the box.

You can trace exactly what each agent did.
Every tool call, every decision made.

No extra setup needed.
I've made all the code 100% opensource with a step-by-step tutorial.

Read more about Strands agents: https://fandf.co/48BWzIc

What would you use a swarm of AI agents for?

If you are interested in building AI Agents, I am going to create tutorials and opensource them for free: 
 
Two simple steps to get started:
1. Follow me
2. Star the repo: https://lnkd.in/dmR-a8G6

I will add New AI Agents and RAG tutorials every week.

I also wanted to thank Amazon Web Services (AWS) for sponsoring this post! 

P.S. I create AI Agent tutorials and opensource them for free. Your 👍 like and ♻️ repost helps keep me going.

Don't forget to follow me Shrey Shah for daily guides on AI.

You can’t throw every piece of data into a prompt and expect the model to stay on track.

Here’s why you need **context engineering** and how to do it right:

☑ Separate the layers – tool descriptions, internal context, past messages, memory.  
  Treat each as its own slice of the prompt instead of a single soup.

☑ Ask the right question at the right time.  
  Prompt engineering decides *what* you ask, context engineering makes sure the model *knows* what it needs before it thinks.

☑ Dynamic updates keep the window clean.  
   we should track items that appear in the environment and inject only the relevant ones when they become useful.

☑ Unavailable tools get a dedicated field with an explanation.  
  The model sees “tool X is offline because …” and can plan around the gap instead of guessing.

☑ Keep the short‑term memory tight – recent chat history and tool outputs.  
  Store long‑term facts (user preferences, static configs) in a separate memory block.

☑ When you compress the prompt to the essentials, the LLM stays focused and you avoid hallucinations caused by overload.

I’m Shrey Shah & I share daily guides on AI.  

If this helped, hit the ♻️ reshare button so someone else can build smarter prompts too.

Context engineering 

Loads of releases are expected today:

from Anthropic we may get:

- Opus 4.5

- Claude Code desktop

Space just got its first AI data center.

Starcloud trained an LLM on NVIDIA H100s in orbit and ran Gemma aboard satellites.

Here’s why this matters more than you think:

☑ Power constraints vanish in space
Solar energy is abundant and uninterrupted. No cloudy days. No nighttime. Just pure compute power.

☑ Cooling becomes free
Space is cold. Really cold. Your cooling bill drops to zero when you’re running at 2.7 Kelvin.

☑ Latency flips on its head
Earth-bound data centers serve Earth. Space-based ones serve… everything. Global coverage from day one.

☑ Cost curves bend differently
No real estate. No property taxes. No construction delays. Just launch and scale.

The industry keeps hitting walls down here. Power grids maxed out. Water for cooling becoming scarce. Energy costs through the roof.

Starcloud looked up instead of around.

They’re not just moving servers to space. They’re rethinking where large-scale AI systems can live. Building infrastructure for the next decade of compute.

We’ve maxed out Earth’s convenient spots for data centers. The next frontier isn’t edge computing. It’s orbit computing.

This isn’t sci-fi anymore. It’s shipping code.

I’m Shrey Shah & I share daily guides on AI.

PS: I’m an early investor in Starcloud. Couldn’t be prouder of what the team just pulled off. If this sparked ideas, hit the ♻️ reshare button so others can think bigger about AI infrastructure too.

Someone asked Gemini to imagine HackerNews frontpage 10 years in the future from now

McDonald’s just dropped an AI Christmas ad and the internet ripped it apart....

They had to pull it back  after massive backlash! .  

A Dutch studio spent weeks on “The Most Terrible Time of the Year” for McDonald’s Netherlands.  
They barely slept, wrote prompts, edited frame by frame and kept saying: “AI didn’t make this film. We did.”  

The backlash was instant.  

☑ “AI slop” became the label overnight.  
☑ Creatives see every AI‑generated spot as a threat to their craft.  
☑ When people can spot the AI, they reject it.  

That’s just one example, but the trend runs deeper.  

☑ AI video tools are accelerating – in 12 months you won’t be able to tell the difference.  
☑ The technology can produce polished ads, but acceptance is still missing.  

Can AI make good ads? Yes.  
Will people accept them? That’s the real question.  

Right now, the answer is no.  

I’m Shrey Shah & I share daily guides on AI.  

If this helped, hit the ♻️ reshare button so someone else can think about AI in advertising too.

OpenAI just dropped ChatGPT Images 1.5.

Here's why it changes everything:

1. Precision Editing

☑ Upload any photo
☑ Ask for specific changes
☑ Model edits ONLY what you request
☑ Lighting, composition, faces stay intact

No more "I wanted to change the shirt, not the entire person."

2. Creative Transformations

☑ Add text and layouts
☑ Apply stylistic filters
☑ Retain the essence of original
☑ No written prompt required with preset styles

You can turn a photo into anime, plushie style, or vintage film. Pick and choose what transforms.

3. Speed Boost

☑ Up to 4x faster generation
☑ Available in ChatGPT for all users
☑ API access as GPT Image 1.5

4. What You Can Actually Do Now

☑ Combine multiple images into one scene
☑ Try on clothes and hairstyles believably
☑ Add or remove elements cleanly
☑ Mix styles in the same image (anime + realistic + plushie)

The model excels at adding, subtracting, combining, blending, and transposing.

Think of it as a creative studio in your pocket.

5. How To Access

☑ Open ChatGPT
☑ Look for the new Images feature
☑ Upload your photo
☑ Describe the edit you want
☑ Watch it preserve what matters

___

I'm Shrey Shah & I share daily guides on AI.

And if you find it helpful, click on the ♻️ reshare button to help someone else stay updated.

If you're looking for a job, give this a try! I collaborated with Sofia Guzowski to create this job search agent using Tavily, Langgraph, and OpenAI.

I collaborated with Sofia Guzowski to create this job search agent using Tavily, Langgraph, and OpenAI.

Hot tip: the best place to find job postings is in VC's job boards ⚠️ 

Jordan Carver, Jordan Mazer, Bella Nazzari (the talent team at a16z) have been raving about this, and I wanted to make sure everyone knew...

That's way I collaborated (aka curiously observed) with one of the best agent builders I know Shrey Shah to build a "Job Hunter Agent" that uses Tavily to crawl the web for all the job postings in VC job boards, and creates optimized recommendations based on user preferences. 

To try it for yourself, use this link 👉  https://lnkd.in/ez88PS-W 

All you need is to make a free account on Tavily to get your API key, and get your API key from your Open AI account ✅✅✅

We'll also be hosting a workshop very soon to show you how to build it for yourself (with no coding experience)... Enjoy!!

Gemini-3-flash is dropping today! Super smart model with better intelligence/token and latency and beats Gemini-3 on SWE!

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Vahid Jozi

Shrey Shah

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The Battle

Vahid Jozi

Shrey Shah

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);}Shrey Shah's LinkedIn Performance

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