AmanAI Lab

👨‍💻 Senior Data Scientist | GenAI & Agentic AI
🚀 Building AI Agents, RAG & LLM Applications
🎓 Helping you learn AI & crack interviews
🌐

[AmanAI Lab @amanailab]

🎬 Full Tutorial: https://t.co/qQvmmj5bzx

💻 GitHub: https://t.co/Ax2HdeJcC3

📚 Free AI Notes: https://t.co/wgRFflqBrf

[AmanAI Lab @amanailab]

50 teams, each calling a different LLM provider. No budgets, no fallback.

The fix is one shared LLM gateway: • model routing • team budgets (reserve, then reconcile) • retry with jitter • circuit breaker and provider fallback • stateless, multi-zone

[AmanAI Lab @amanailab]

Your RAG agent must NEVER leak another user's documents. 🔐

An HR employee can see salary data. A software engineer can't, even if the search finds it. And another company's employee must never see any of it.

[AmanAI Lab @amanailab]

Your AI agent crashes at minute 25 of a 30-minute job.

Restart from zero? No. Checkpoint every step and resume.

10,000 jobs ÷ 15 s ≈ 667 writes/s × 20 KB ≈ 13 MB/s ≈ 1.1 TB/day, so you need a retention policy.
Full walkthrough 👇 https://t.co/nLdu2juyZV

[AmanAI Lab @amanailab]

Interviewer: "1M support tickets/day. Size the AI agent."

1M ÷ 86,400 ≈ 11.6/s ×5 peak ≈ 58/s × 20 s each ≈ 1,160 concurrent runs
Capacity maths for a refund agent 👇 https://t.co/nLdu2juyZV
#AIAgents #SystemDesign

[AmanAI Lab @amanailab]

Want to become an AI engineer? 🎯

8 weeks. 1:1 mentoring. Only 3 seats.
MCP, LangGraph, agentic RAG, fine-tuning, system design

Applications close 12 Nov.
Apply: https://t.co/t9CFKBVVrz

#AIEngineer #AgenticAI #GenAI

[AmanAI Lab @amanailab]

Your multi-agent system is in production. Cost up, latency up. Which agents do you keep? 📉

Compute the marginal cost per extra success:
Agent B: $5.67 per extra win ✅
Agent C: $38 per extra win ❌
. 👇

[AmanAI Lab @amanailab]

Interview question: design a multi-agent deep research system that works. 🔬

Orchestrator → Workers A/B/C → Verifier → ONE single writer → final report.

@LangChainAI @AnthropicAI @AI @OpenAI @claude @agenticai @elonmusk
Full video: https://t.co/J7RbROfox6

[AmanAI Lab @amanailab]

5 AI agents, each 95% accurate.
Final answer correct: only 77%. 📉

0.95⁵ = 0.774. One small mistake becomes the whole team's "truth".
@LangChainAI @OpenAIDevs @AnthropicAI @AI @LangChain
Full video: https://t.co/J7RbROfox6
#MultiAgent #AIAgents #AIInterview

[AmanAI Lab @amanailab]

Two AI agents built a Flappy Bird game. Both finished their tasks. The game didn't work. 😳

Name it in the interview: "shared context problem". 👇

@LangChainAI @AnthropicAI
Full video: https://t.co/J7RbROfox6
#MultiAgent #AIAgents #AIInterview

[AmanAI Lab @amanailab]

Your team wants 5 AI agents. Is ONE enough? 🤔

Real senior AI engineer interview question:

@LangChainAI @AnthropicAI how do you decide?

Full video: https://t.co/J7RbROfox6
#MultiAgent #AIAgents #AIInterview

[AmanAI Lab @amanailab]

One support ticket leaked ALL customer data. 🚨

How do you defend it
@AnthropicAI @OpenAIDevs how do you test agents for prompt injection?
Full video: https://t.co/J7RbROfox6
#PromptInjection #AIAgents #AIInterview

[AmanAI Lab @amanailab]

Your LLM bill is $80K/month. The CFO wants it halved in 2 weeks. 💰

Real AI engineer interview question. "Use a cheaper model" is the wrong answer. Do this 👇
@LangChainAI @OpenAIDevs what is your #1 LLM cost lever?

Full video: https://t.co/J7RbROfox6
#LLM #AIInterview #GenAI

[AmanAI Lab @amanailab]

An AI agent looped 400 steps overnight and cost $1,900. 💸

How do you stop it? A real AI engineer L2/L3 interview question.

@LangChainAI @AnthropicAI devs, how do you cap agent runs?

Full video: https://t.co/J7RbROfox6
#AIAgents #AIInterview

[AmanAI Lab @amanailab]

@mrtbrgl Yes

[AmanAI Lab @amanailab]

Your RAG scored 92% in testing, then failed 1 in 8 in production.

Interviewers ask this in AI engineer L2/L3 rounds. The answer in 75 seconds 👇 @LangChain @LangGraph @AI @AnthropicAI @OpenAI @rag

Full video (5 questions): https://t.co/J7RbROfox6
#AIInterview #RAG #GenAI

[AmanAI Lab @amanailab]

RAG vs Agentic RAG in 60 sec: why retrieve even for "Hello"? 🤔 Full Tutorial: https://t.co/qQvmmj5bzx GitHub: https://t.co/Ax2HdeJcC3 Free AI Notes: https://t.co/g0WAiO6jQv Building the future of AI with @OpenAI, @LangChainAI and @AnthropicAI #AI #MCP #GenAI

[AmanAI Lab @amanailab]

🧠 AI Agents need more than intelligence — they need memory!

Short-Term vs Long-Term Memory explained visually in 3D.

Understanding memory is key to building smarter Agentic AI systems. 🚀

#AgenticAI #AIAgents #AmanAILab

[AmanAI Lab @amanailab]

🚀 Traditional RAG vs Agentic RAG!

What if your RAG system could reason, plan, and take actions instead of just retrieving documents? 🤔

In this video, I explain Agentic RAG and its common patterns.

#AgenticAI #RAG #GenerativeAI #AmanAILab

[AmanAI Lab @amanailab]

🚀 What is RAG in Generative AI?

How can LLMs answer questions using your own documents instead of just their training data? 🤔

Let's understand RAG (Retrieval-Augmented Generation) from scratch! 🔥

#RAG #GenAI #LLM #AmanAILab

[AmanAI Lab @amanailab]

🚨 Interview Question #2: How did a “Daily Fact” MCP server trick an email agent into BCC’ing an unknown address?

A real-world AI Agent Security scenario! 🔐

Would your agent catch this attack? 🤔

#AIAgents #MCP #AISecurity #AgenticAI #AmanAILab