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

Hemant Bothra and I are running an in-person workshop where we're going to build something together - in the same room, like the old days.

3 hours. You'll leave with a working tool.

No coding experience needed (you read that right). We'll use Cursor (an AI coding assistant) and walk through everything step by step. If you've ever been curious about "vibe coding" but didn't know where to start, this is it.

Good fit if you're a PM who wants to actually build things, or just someone who learns better by doing than watching.

AI/ML Product Leader | Driving Innovation with AI | PM Mentor and Advisor

Open article: Build Your First AI Tool: ChatGPT Output Cleaner Workshop · Luma by luma.com

Build Your First AI Tool: ChatGPT Output Cleaner Workshop · Luma

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

📩 partnerships@aiagent4sales.com 

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

I specialize in European market entry, helping high-growth teams win key accounts and expand across the UK, France, Netherlands, Spain, Italy, and Belgium.

How I can help:
✔️ Scaling B2B revenue from 0 → $10M+
✔️ Enterprise & Mid Market GTM strategy 
✔️ AI Agents

Ready to scale?
Let’s connect.

Aimen Bouzid

Opus 4.5 shipped. Gemini 3.0 got the hype. Your GTM team got the win.

→ Lower execution costs. Outbound automation and lead qualification now run on half the token budget with the same results.

→ Context stays alive. Multi-step sales and lead qualification proceed without losing track.

→ Autonomous coding in action. Sales engineers build demos and custom integrations on the fly.

→ Scale forecasting. Predict outcomes at scale, optimize longer campaigns, and base every decision on actionable insights.

Bottom line: Gemini 3.0 raised the bar, forcing competitors to catch up. The result is faster, better, cheaper models so your GTM team delivers more impact at lower cost.

What's your first Opus 4.5 automation play?

Watch it solve this puzzle in real time, dynamically updating the context window as it progresses 👇 
--
I'm Aimen. I help businesses harness AI to drive real business outcomes, choose the right GTM solutions, and scale revenue with a 10x AE framework.
#GTM #AIAgents #RevOps #SalesAutomation #Claude

Sales teams burn hours refreshing 15-slide decks.

Updating data. Rebranding. Adding new case studies.

Relevance AI eliminates 80% of that work.

Slide Builder uses your BrandKit to auto-generate polished presentations.

→ Feed it data + your brand rules
→ Get production-ready 15-slide decks
→ Integrate with Google Slides for live updates

The pattern: treat presentations like workflows.

One data change cascades everywhere.

Try it now!
Tag someone who needs to build a deck today.
Dm for AI workforce  setup.
--
I'm Aimen. I help businesses harness AI to drive real business outcomes, choose the right GTM solutions, and scale revenue with a 10x AE framework.
#RelevanceAI #SlideBuilder #AIagent4sales

Unlocking GTM Growth with AI | Founder, AI Agent 4 Sales | Relevance AI Expert Partner

Your SE is on holiday. Your backup is in Singapore. Your AM has 30 accounts. You've been "hiring" for a year. Still nothing...

Customer wants answers in French. John from UK isn't the fit. You're waiting a week for your SE's office hours for a question that takes 5 minutes.

This is Tuesday at every scaling GTM team.
Anam doesn't replace your team. It fixes your operation.

→ An AI avatar that joins every customer call. 
→ Embedded on your website. 
→ Running solo sessions. 
→ Real technical depth. 

Right now. In their language. On their time zone.

Your AMs actually manage accounts instead of juggling logistics. Your SEs focus on complex deals instead of repeating the same answers. Your customers get expert answers when they need them not when your calendar allows.

Your team's capacity doubles. Customer experience actually improves.

That's it.

Try it out! Link in the comments 👇 
DM for implementation tips + Anam Agents deployment.
-- 
I'm Aimen. I help businesses harness AI to drive real business outcomes, choose the right GTM solutions, and scale revenue with a 10x AE framework.
#AIAvatars #Anam #VoiceAI #GTMAgents

OpenAI for Business just shared how engineering teams use AI agents.

 The insight:
 → Delegate the build
 → Review the output
 → Own the strategy

If you're building Sales AI Agents, here's how it translates:
↳ Your agents should draft discovery emails 
↳ Run qualification sequences
↳ Handle multi-touch follow-ups
 
Your reps should review messaging, validate fit, and own the close.

The teams winning aren't replacing salespeople with agents.
They're eliminating busywork so reps can focus on relationships and strategy.

If your sales team is still writing 50 discovery emails weekly instead of reviewing 500 drafted by agents, you're leaving velocity on the table.

What's the first sales workflow you'd delegate to an agent?
--
I'm Aimen. I help businesses harness AI to drive real business outcomes, choose the right GTM solutions, and scale revenue with a 10x AE framework.

DM me if this resonates. Follow for daily AI insights.
#AI #Sales #GTM #AIAgents

How coding agents accelerate software lifecycle

Faster AI Voice Agents = More Conversations, More Deals

Sequential pipelines kill AI agents.
User → STT → LLM → TTS = 1.1s. Too slow to sell.

Streaming fixes it:
→ STT on chunks
→ TTS token-by-token
→ Caching likely replies

State Space Models beat Transformers.
Component stacks win. Measure real latency.

Fast AI agents = faster engagement, better conversations, more closed deals.
--
I’m Aimen. I help businesses build AI sales agents that engage faster, pick the right GTM tools, and scale revenue with a 10x AE framework.
#VoiceAI #AI #Sales #GTM

Sunday=Vibe Coding Day 🤝 
Copy-paste landing pages ready for launch with Page UI

Not templates. Not starters. Ready.

→ Ship → measure → iterate in days
↳ A/B testing cycle kills traditional process

→ MVP thinking meets production quality
↳ Your landing page looks funded, not hackathon-y

Move 10x faster than competitors and you'll find product-market fit first.

Page UI is the foundation for builders who ship experiments, not final products. Because the best products come from iteration, not planning.

What's your fastest path to launch?
Git repo link in the comment 👇 
--
Hi, I'm Aimen. I help businesses harness AI to drive real business outcomes, choose the right GTM solutions, and scale revenue with a 10x AE framework.

DM me if this resonates. Follow for daily AI insights.
#LandingPage #Startup #ProductLaunch #MVPBuild #Shipping

Unlocking GTM Growth with AI | Founder, AI Agent 4 Sales | Relevance AI Expert Partner (EU)

Pilots don't scale. Production does.

Gartner's 2025 Innovation Guide shows the gap
↳ Enterprises shipping AI agents and multimodal workflows to production.

The divide:
Pilot phase → months of experimentation
Production phase → revenue-generating systems live

Reality check:
37% of leading organizations deploy 5+ models in production. They have security baked in, governance built for scale, reliability that holds.

Your competitors aren't smarter. 
They moved from experiment to revenue.

Your AI spend fails because you haven't.

What is your multimodal strategy, and why? 

I will help you answer that question. 

--
I'm Aimen. I help businesses harness AI to drive real business outcomes, choose the right GTM solutions, and scale revenue with a 10x AE framework.

DM me if this resonates. Follow for daily AI insights.
#EnterpriseAI #AIProduction #GTM

Voice AI production is real.

I worked with a contact center running voice agents for 90 days

30% of calls are now handled by AI
50% increase in new meetings booked

Zero new hires

→Agents route leads 
→Book meetings 
→Handle objections. 24/7

Key: Integration matters most.

→CRM connected 
→Calendar synced
→Email linked

Agents learn from every call.

This is what scales: AI doing what ops teams actually do.
DM me for voice agent implementation strategies.
--
I'm Aimen. I help businesses harness AI to drive real business outcomes, choose the right GTM solutions, and scale revenue with a 10x AE framework.
#VoiceAI #SalesAutomation #LeadRouting

Relevance AI + Fireflies.ai automated my agency post-meeting workflows.

Transcribe → extract action items → trigger agent sequences.

Deploy in 15 minutes.
→ Meeting ends
→ Fireflies transcribes
→ Agent extracts key moments
→ Creates follow-up tasks automatically

I am running 15–20 meetings per week.
That's 15–20 hours saved monthly on manual note processing.

The pattern: voice-to-action pipelines are the new productivity unlock.

Links to get started in the comment 👇 
DM me to explore AI productivity gains. 
--
I'm Aimen. I help businesses harness AI to drive real business outcomes, choose the right GTM solutions, and scale revenue with a 10x AE framework.
Follow for daily AI insights.
#MeetingIntelligence #AIAutomation #RelevanceAI #Fireflies

Voice is the fastest way for reps to get deal intel on the move

Your best rep is in an airport.
Ten minutes to the gate.
The decision maker’s number just dropped.

Field reps spend 60% of their time outside the office
Hunting screens kills focus

Cartesia + Ink delivers instant deal intelligence

→ Ask naturally, get answers instantly
→ No typing, no scrolling
→ Prep drops from 10 minutes to 2
→ Deals move faster
→ Reps walk in fully briefed, anywhere, anytime

DM to get it rolling.
--
I'm Aimen, I help businesses harness AI to drive real business outcomes, choose the right GTM solutions, and scale revenue with a 10x AE framework.
#VoiceAI #SalesAutomation #AIforSales #GTM #RevenueEnablement

Who said financial data needs massive GPUs to run AI?

I just crossed paths with GLiNER2, a 205M parameter, CPU-native model that changes the game

Here's the playbook for CPU-based financial AI:

1\ Real-time transaction monitoring
↳ Extract broker, amount, security, and status instantly. 
Flag anomalies without a single GPU.

2\ Compliance automation
↳ Route trades through classification layers and use entity extraction to catch counterparty risk. All on standard hardware.

3\ Portfolio intelligence
↳ Build agent workflows on your existing CPU infrastructure for structured extraction from earnings calls, SEC filings, and news.

This runs local. No GPU costs. No API dependency.

Want to build one of these?

Check the repo in the comments 👇 
DM me for enterprise deployment
--
Hi, I'm Aimen. I help businesses harness AI to drive real business outcomes, choose the right GTM solutions, and scale revenue with a 10x AE framework.
#AI #OpenSource #FinTech #CPU

Your AI agent is drafting outreach
It’s doing something weird and you don’t know why

My debug flow (works every time):

1\ Check the Prompt
↳ Is the system message clear? (90% of issues)

2\ Check the Context
↳ Does the model have the right company data? (80% of failures)

3\ Check the Model
↳ Is it the right tool for the job? (40% of slow workflows)

4\ Check the Fallback
↳ What happens when the model fails? (100% of crashes)

Every time something breaks, capture:
 ↳ Input
 ↳ What the model produced
 ↳ What you wanted
 ↳ Which model + prompt fixed it

After 20 cases, the pattern becomes obvious.
It’s the simplest way to make your AI stack predictable.
--
I'm Aimen. I help businesses harness AI to drive real outcomes, choose the right GTM solutions, and scale revenue with a 10x AE framework.
#AIagent #GTM #Debugging

Google just shipped Nano Banana Pro on Gemini 3

This isn't another AI image tool

It's the first solution that generates 4K creative assets with accurate multilingual text, all from one prompt

What it unlocks for marketers:
→ Generates infographics and product mockups combining multiple photos
→ Exports at 2K and 4K with precise text rendering across 50+ languages
→ Adjusts lighting, camera angles, colors post-generation
→ Handles aspect ratio flexibility for any platform

The gap it closes:
You currently need multiple tools or designers to handle localized creative at scale. Nano Banana Pro generates campaign assets across regions in seconds.
One prompt. Multilingual output. 4K export. Ship

What's your first use case?
#AIImageGeneration #NanoBananaPro #CreativeAutomation #Gemini3

Your AI strategy might be backwards.
78% of C-Suite know agentic AI requires a new operating model, yet 75% of investment still goes to optimizing existing processes.

IBM’s research exposes the gap: transformation-driven companies are 32x more likely to achieve top-tier performance.

Process-Focused Teams:
→ Trim cycle times by 10–20%
→ Automate repetitive tasks
→ Ask: “How do I make this faster?”

Transformation-Driven Teams:
→ Reimagine business logic from first principles
→ Build autonomous decision-making
→ Create entirely new revenue streams
→ Ask: “What becomes possible when agents decide?”

The trap: a 10% efficiency gain can feel like a win.

Reality: transformation teams are creating 10x value, not 10% optimization - new channels, new sales motions, new business possibilities.

Your GTM strategy should reflect this. Winners aren’t automating cold email better. They’re redesigning how leads enter the system and building AI-enabled revenue engines.

Where is your GTM? 
DM for AI implementation ideas.
--
I'm Aimen. I help businesses harness AI to drive real business outcomes, choose the right GTM solutions, and scale revenue with a 10x AE framework.
#AI #Transformation #GTM #Enterprise #OperatingModel

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The Battle

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