Avi Kumar

Technology entrepreneur who is still engineer at heart. Personal interest in fostering dreams of resource-constrained teens in India.

[Avi Kumar @avikumar]

6️⃣ Local AI is no longer experimental.

It’s infrastructure.

And infrastructure decisions compound:

• Model size
• Quantization level
• VRAM availability
• GPU residency
• UI efficiency
Bigger ≠ Better.
Aligned > Impressive.

[Avi Kumar @avikumar]

I tested 4 local LLMs inside Jan.
Same machine. Same environment. No tuning tricks.
Here’s what actually happened. 🧵

[Avi Kumar @avikumar]

5️⃣ Most people chase parameter count.

But in portable AI systems, VRAM ceiling defines reality.

If your model doesn’t fit cleanly into GPU memory:

You’re not scaling up.
You’re slowing down.

[Avi Kumar @avikumar]

5️⃣ Local AI is becoming infrastructure.
And infrastructure choices matter long term.

[Avi Kumar @avikumar]

I tested 4 local AI interfaces. Here’s what most people miss. 🧵

[Avi Kumar @avikumar]

4️⃣ If you’re building local AI, stop only comparing models.
Start comparing stacks.

[Avi Kumar @avikumar]

Authentication ≠ AI security.

Real AI voice security is layered:
Auth → Data partitioning → Guardrails → Audit logs → (optional) voice verification
If your AI can see sensitive data, it can leak it.

Containment beats trust.
Every time.

[Avi Kumar @avikumar]

This is how we turn AI from a guessing game into a guided experience. If you’re serious about prompt engineering, this is a game changer.

[Avi Kumar @avikumar]

Crafting the perfect AI prompt every time? It doesn’t have to be a guessing game. Let’s build a prompt co-pilot using AI itself. 🧵👇

[Avi Kumar @avikumar]

Want the full case study and a step-by-step guide on how we did this? Comment SuperPrompt and I’ll DM you all the details.