Berwin Singh

AI explorer, seeking out the next tech breakthroughs and sharing them with you.

[Berwin Singh @berwin_singh]

@METAPCs RTX 5070ti

[Berwin Singh @berwin_singh]

not me casually making changes to my code on my own server with Claude Code… from my phone 😅

just vibing while the AI does the work

[Berwin Singh @berwin_singh]

Just set up my phone to SSH into my server and access Hermes Agent and wow… already liking it more than OpenClaw lol

Have you guys been using it? What are your top use cases?

Also working on a setup video end to end so stay tuned 👀

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#AI #AIAgents #NousHermes #BuildInPublic #hermesagent

[Berwin Singh @berwin_singh]

Took the leap on @StarfieldGame via @XboxGamePassPC and I'm genuinely shocked at the state it shipped in. Installing mods just to make it playable.

@bethesda had 8 years and @Microsoft's money. The fact that the engine is still this broken is wild. Just move to Unreal 5 already.

[Berwin Singh @berwin_singh]

https://t.co/LF2EEh8vfx

[Berwin Singh @berwin_singh]

I see so many companies spending months building AI features that will likely be a free checkbox in a Microsoft or Google update by next month.

That’s not building a moat—it’s just burning runway.

If you're trying to figure out what's actually worth building versus what you should just buy off the shelf, I put a video together on the "Survivability Matrix" we use to filter these decisions.

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#AIStrategy #TechLeadership #ai #generativeai

[Berwin Singh @berwin_singh]

The most expensive data entry clerk in your company is your Finance Manager.

I just audited a business with a brilliant finance team. Smart. Capable. Expensive.

But 50% of their month was vanishing.

Not on strategy. Not on growth. But on downloading invoices and copy-pasting data into Excel.

Here is the trap most businesses fall into:

Manual data entry feels "free" because you’re already paying the salaries.

But it is actually the most expensive line item in your OpEx. Why? Because of Opportunity Cost.

Every hour your CFO spends fighting formatting errors is an hour they aren't saving you money or finding new revenue.

We deployed an intelligent extraction workflow (breakdown in the video below 📹) to kill the grunt work.

The result? We didn't just save time. We unlocked 3 brains to actually work on the business.

Stop using humans as middleware.

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#AI #Automation #Tech #Business

[Berwin Singh @berwin_singh]

I just spent time with Google's Genie 3, and this changes the game for anyone building or testing products.

What is it? It's a world model that generates interactive 3D environments from text descriptions. You type what you want, and it creates a photorealistic world you can actually move through and explore in real-time.

Why should you care? Because simulation just became dramatically cheaper and faster. Instead of spending weeks building test environments, you describe them in a few sentences.

Two use cases that caught my attention:
1. Autonomous vehicle training - Create thousands of driving scenarios (heavy rain, desert roads, urban chaos) without touching a single physical vehicle. Test edge cases that would be too dangerous or expensive in the real world.
2. Product prototyping - Architects and designers can walk through spaces before they exist. Game studios can test gameplay concepts in minutes instead of months. Training simulations for any industry become accessible.

The tech is impressive (runs at 20+ fps, maintains consistency, responds to your actions), but what matters is the shift: we're moving from AI that makes videos to AI that makes interactive worlds.

This is going to change how we test products, train systems, and prototype ideas.

You can try it yourself through Project Genie if you want to experiment: https://t.co/4DG3fYPC0t

What would you build if you could create any environment instantly?

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#AI #Innovation #Technology

[Berwin Singh @berwin_singh]

Damn @claudeai code is way too good. Idk why I was even using GitHub Copilot.

[Berwin Singh @berwin_singh]

Uncomfortable truth: Fully autonomous AI is a liability.

We learned this the hard way. When we gave agents full control, they broke. • WSJ Experiment: An AI-run business went bankrupt in weeks. • MIT Report: 95% of AI agents last year never made it to production.

The fix isn’t a better model. It’s Human-in-the-Loop.

We saved clients millions by letting AI handle the heavy lifting (analysis/processing) but keeping the final decision with a human.

Stop building sci-fi. Start building revenue.

DM me if you want to deploy AI workflows that actually add to your bottom line.

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#AI #AIAgent #business #b2b #HITL #HumanAI

[Berwin Singh @berwin_singh]

https://t.co/9MsW9COh3C

[Berwin Singh @berwin_singh]

@IndianTechGuide Apple Pay, but only if they get the NFC version. If it’s another UPI app then Google Pay it is

[Berwin Singh @berwin_singh]

Most companies think they’re "using AI." In reality, they’re just chatting with a smart search engine.

There are actually 3 Levels of AI maturity. If you want to scale your operations, you need to understand the difference between Level 2 and Level 3.

Here is the breakdown (and why Level 3 is the money-maker):
Level 1: The Oracle (LLMs) This is where 99% of people are. You use ChatGPT or Gemini. You ask a question, it gives an answer based on its training data.

The Limit: It’s trapped in a box. It doesn't know your emails, your calendar, or your business context. It’s passive.

Level 2: The Robot Arm (Workflows) This is where most "tech-forward" businesses are right now. You give the LLM access to tools like Outlook or Slack.

How it works: You give specific instructions. "If I get an email from Client X, draft a reply."

The Limit: It’s rigid. It follows a script. If something unexpected happens, it breaks. You still have to do the thinking and planning. You are the bottleneck.

Level 3: The Employee (AI Agents) This is the holy grail. The MVP. Instead of giving instructions ("Click this, type that"), you give it a GOAL.

The Goal: "Read the Statement of Work in my inbox and create User Stories in Jira for the dev team."

An Agent doesn't just follow steps. It reasons.
1. It scans your Outlook.
2. It finds the document.
3. It understands the context.
4. It logs into Jira and creates the tickets.
5. It assigns them to the right people.
6. It figures out the "How" on its own.

Why this matters for your business: Level 2 automation saves you clicks. Level 3 Agents save you management overhead.

I broke down exactly how this works visually in the video below. It’s less than 60 seconds but it’ll change how you view your tech stack.

Watch the video 👇

[Berwin Singh @berwin_singh]

@privatetalky Face ID

[Berwin Singh @berwin_singh]

@SamRaj49

[Berwin Singh @berwin_singh]

I love this India Gate photo I took a while back!

[Berwin Singh @berwin_singh]

Your Enterprise AI pilot isn't failing because the model isn't smart enough.

It’s failing because it has amnesia.

Here is the math that most leaders ignore:

Every AI model has a "Context Window"—a finite whiteboard that acts as its short-term memory. It holds your prompt, your company data, and the conversation history.

The Trap? 🚨Autonomous AI Agents are massive memory hogs.

We assume Agents just "do the work." But in reality, before an Agent answers you, it runs a silent, internal monologue to plan its steps: • It checks external tools • It loops on API errors • It reads through massive logs

It burns through its "Token" allowance just figuring out how to do the job.

And when that whiteboard gets full? The AI has to make a choice.

To fit the new information, it literally "erases" the oldest information in its memory. Unfortunately, that usually means deleting your Safety Compliance Instructions or your System Prompt.

The result isn't a "bad model." It’s an AI that has forgotten the rules of the game.

The fix isn't buying a bigger model. It is better engineering. You need to manage the context like expensive real estate.

Don't flood the engine. Feed it.

[Berwin Singh @berwin_singh]

@ThePGriffiths @akinkunmi Thanks. I didn’t know about this
Will check it out

[Berwin Singh @berwin_singh]

@HumansNoContext Some random person, after buying the book and turning to the first page:

Thank you.

End of book.