I build AI products from zero to one, and I teach others how to do the same.Over 12+ years, I've taken AI/ML products from proof-of-concept to launch at Amazon, Nike, T-Mobile, and Disney. The work I love most is early-stage: validating ideas, getting executive greenlight, and shipping MVPs that prove value before scaling. At Nike, that approach drove a $100M annual reduction in product returns.I also teach what I build. I co-created and lead the AI Product Management Certificate at the University of Washington, where experienced PMs ship real GenAI products complete with evaluation plans and GTM strategies. Previously, I trained 4 cohorts at Product School.What I bring: the ability to translate messy AI capabilities into clear product value, align technical and business stakeholders, and move fast without breaking trust. I write about AI PM craft at aipmguru.substack.com.I'm currently exploring opportunities to lead 0→1 AI product work at companies solving meaningful problems. I'm especially energized by AI in healthcare and education, though I'm open to any domain where the product can genuinely improve lives. 

Shaili Guru

This message made my morning ☀️

A reader just shared that they landed an AI Product Manager role, and mentioned my content helped along the way.

Here's the thing though: I'm glad the content helped, but they put in the work.

The learning. The interviewing. The career pivot. That's all them.

Moments like this remind me why I write. Not to have all the answers, but to make the path a little clearer for folks navigating the transition.

If you're in the middle of your own AI PM journey right now, keep going. It's working.

AI Product Leader | 0→1 Builder & Educator | Ex-Nike, Ex-Amazon, Ex-Disney

My kids got Harry Potter Guess Who for Christmas, and watching them play gave me an idea. What if I built a digital version with our 46 family members? They could learn their relatives the same way they're learning about Hogwarts. I opened Bolt and started building. 34 versions later, I had a working game. But the real lesson wasn't about AI coding tools.

It was seeing PM fundamentals play out in real-time, compressed into one afternoon. Clear requirements prevented wrong interpretations. Defining the data model upfront avoided rewrites to the architecture. Thinking through edge cases early meant fewer fixes later. AI doesn't ask clarifying questions or push back on ambiguity. It just builds exactly what you describe.

Vibe coding is a mirror for PM discipline. It validated what I've learned across teams: clear requirements, defined data models, explicit acceptance criteria. The 4 patterns that made this work 👇

If I were teaching someone about AI product lifecycles for the first time, I'd start with POCs.
Not because they're the first step in a framework diagram.

Because they're where most AI products quietly die.

It reminds me of my research days working with Zebrafish embryos. You don't scale up a staining protocol before you've proven it works on a handful of samples.

Same logic applies to AI.

But here's what most teams get wrong: they run AI POCs like traditional software spikes. Build it, demo it, ship it.

AI doesn't work that way.

Your POC might hit 85% accuracy. Looks great in a demo. But what happens to the 15% that fails? Who handles those cases? What's the cost of being wrong?

These are the questions traditional PMs aren't trained to ask.

In my latest post, I break down:
→ Why POCs are the critical gate (not just another phase)
→ Three types of AI products and how they change what you're validating
→ The question most teams forget to ask before calling a POC "successful."

Link in comments 👇

Building your personal brand is hard. On LinkedIn, off LinkedIn—doesn't matter. It's just hard.

I have been at it for about a year now, and honestly? Still figuring it out.

I'm part of PDMA Seattle's committee, and our next session is with Leslie on how to make LinkedIn work for your PM career.

📅 Jan 14, 12-1 PM PST 🔗 https://luma.com/wno7fylk

Our last session on PM hiring trends had a great turnout, and everyone walked away with something useful. Expecting this one to be just as good.

Come through if you're trying to figure out the brand thing too.

Product Development and Management Association Seattle team - Anna Bigornia Sako Eaton Harmony Crawford Prabina B. Matt Foster Sahit G.  Banu R.

#productmanagement #linkedin #personalbrand

Open article: Stand Out With Your Brand Out. How Product Managers can grow their career using LinkedIn. · Zoom · Luma by luma.com

Stand Out With Your Brand Out. How Product Managers can grow their career using LinkedIn. · Zoom · Luma

Unlocking GTM Growth & Org Productivity with AI | Founder, AI Agent 4 Sales | Relevance AI Agency Partner

AIagent4sales.com  is your hub for B2B AI agents. Access 200+ AI tools to supercharge your go-to-market strategy and unlock exclusive business benefits. Want to partner? Get listed here 📩 partnerships@aiagent4sales.com

As an official Relevance AI Expert Partner, I implement and scale enterprise grade AI Agents in your GTM stack covering (US/EU) time zones

I come with 14 years of B2B Sales and founding GTM member experience from Reddit, Pinterest, LinkedIn, Yahoo!, Google closing deals, smashing quotas, and building scalable revenue engines from $0 to $10M+

How I can help:
✔️ Scaling B2B revenue from 0 → $10M+
✔️ Enterprise & Mid Market GTM strategy 
✔️ AI Agents SWARM & Custom builds
✔️ CRM/AI Software Integration

Ready to scale with AI?
Let’s connect

Aimen Bouzid

Can AI-generated content actually rank on Google?
Short answer: Yes
Semrush explains the important nuances. Swipe to see what really works 
#AIContent #SEO #DigitalMarketing #ContentStrategy #GoogleRanking

Founder, AIagent4sales.com | Home of AI agents | Relevance AI Expert Partner (US/EU)

Can AI generated content actually rank in Google? 

Document processing is still a major cost and accuracy challenge for many businesses. This demo of Mistral AI OCR 3 shows strong gains on forms, tables, and handwriting while being priced far below most enterprise OCR solutions.

Worth watching if you are thinking about scaling document workflows or GenAI pipelines more efficiently

DM for implementation
#DocumentAutomation #OCR #GenAI #EnterpriseEfficiency #AIagents

The 2026 State of AI Agents Report by Anthropic shows how enterprises are deploying agents today and where real value is already being realized

Key takeaways:
 → AI agents run multi-step and cross-functional workflows
 → Coding agents are now mainstream
 → Productivity gains span the full dev lifecycle
 → Most companies see ROI today
→  Hybrid models buy plus customize dominate

Worth a read if you are thinking about scaling AI beyond pilots in 2026
#ArtificialIntelligence #AIAgents #EnterpriseAI #TechLeadership

The 2026 State of AI Agents Report by Anthropic

A customer asked how to “rank on AI” and wanted the simple answer

AI systems rely on different sources

ChatGPT outputs often reference content from Wikipedia and Reddit, while Google’s AI frequently mentions LinkedIn, Google-owned properties, and Yelp

To improve visibility in AI answers, focus on platforms that AI tools commonly cite Note that even then, it’s not guaranteed you will appear

#AI #GEO #AIVisibility #ContentStrategy #CMO

Firecrawl’s /agent just leveled up
Prompt → web navigation → structured data in minutes
Spark 1 Pro & Mini make /agent perfect for GTM research and analysis🔥
#Firecrawl #AIagents #WebData #GTM #DevTools

Introducing Spark 1 Pro and Spark 1 Mini 🔥

Two new models powering /agent, our state of the art agent that searches, navigates, and extracts web data from a prompt.

Just describe what you need and /agent figures out where to go and what to pull back. It accomplishes in minutes what would take hours of manual data gathering.

Mini is 60% cheaper for everyday extraction. Pro delivers higher accuracy when the task is complex or requires digging through multiple pages.

Both are live now on the playground, API, and SDKs. Link in the comments.

Building AI voice agents that feel fast, human, and reliable isn’t just about clever prompts or models. This insightful report by Telnyx explores the hidden challenges behind delivering natural, high-quality voice interactions at scale

#VoiceAI #ConversationalAI #AIAgents #CustomerExperience

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Shaili Guru

Aimen Bouzid

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Performance ScoreShaili Guru's LinkedIn Performance

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taplio

The Battle

Shaili Guru

Aimen Bouzid

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);}Shaili Guru's LinkedIn Performance

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Performance ScoreShaili Guru's LinkedIn Performance