I think —AI isn’t a replacement. It’s an amplifier. The real advantage isn’t AI agents, but AI + yearsvof domain knowledge. Companies that get this will outpace those chasing quick cost cuts.

What do you think?

Why companies aspire to cut 95% of their workforce instead of 10x-ing their output with AI?

why not train employees to be AI literate, which ultimately means business growth. Be ambitious on growth targets instead of cut cost.

Testing GenAI Products: Lesson from software engineering principles You're not building AI products.

bytesandbayes.substack.com/p/testing-ge...

You’re not building an AI system.

You’re building a software product with an AI engine.

Stop testing like you're in a lab. Start testing like it’s SaaS.

Keep reading how to test your AI product here

Your competitors are already planning for next year. Are you?

With Our Signature AI Literacy workshop, your team will:

✅ Find right AI use case for your business
✅ Build an AI strategy and roadmap
✅ Hit the ground running in January

Only till Dec 5 11:59 PM EST

cal.com/gunjantitiya...

The Architecture of AI: XaaS Integration Patterns That Scale 5 battle-tested patterns for seamlessly connecting AI with cloud services (with code examples)

bytesandbayes.substack.com/p/the-archit...

The best part? No theoretical fluff. Just battle-tested patterns I wish I had when I started building AI systems.
🔗 Read the full article - link in the comments

🎯 Key insights:
Why traditional integration patterns fail with AI workloads
How to handle retry logic without burning through your API budget
The observability stack that saved us $100K in debugging time

In this comprehensive guide, I break down:

✅ Service mesh patterns that prevent production nightmares
✅ Event-driven architectures that actually scale
✅ Security implementations that won't get you fired
✅ Real code examples you can use today

Let's be honest: Most AI projects fail not because of the AI, but because of poor integration with existing cloud infrastructure.

After architecting AI systems for Fortune 500 companies, here's what I've learned: successful AI implementation is 20% model selection and 80% integration architecture.

Want to learn difference between prototype and Production-ready AI applications (and blueprint for how to build the same for your business) ?

Watch our live stream - Building Production ready AI applications

www.youtube.com/live/4XP0xsp...

bytesandbayes.substack.com/p/resume-ai-...

I reviewed Resume of AI.

AI undoubtably the talk of the year, provided 10x return to those adopted early and also attracted wide skepticism (rightfully so) that all "productivity gains" are directly correlated to "Jobs lost".

So I reviewed Resume of AI and gave the Performance review

Read more 👇

Intro post:

I am Data & AI expert with 15+ years of experience. Now I help founders launch their AI application in production that their customers can trust.

My approach to AI is Privacy first, building trust with your customers and stand out from all 'cool science project' wrappers