System Rationale

Deep dives into the "why" behind the "how." System Rationale explores high-scale architecture, system design trade-offs, and the mental models required for senior-level engineering.

delhi Joined on Jun 8, 2020

Education

B.Tech in Computer science

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he/him

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AI-driven platform for educators that automates exam-ready content creation

System Rationale

Apr 13

RAG vs GraphRAG: When to Use What (From a Builder’s Perspective)

#ai #llm #rag #systemdesign

2 min read

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System Rationale

Apr 13

Running AI Fully Offline on Mobile with Gemma 4 (Android + iOS)

#ai #android #llm #mobile

3 min read

System Rationale

Apr 11

Running AI in the Browser with Gemma 4 (No API, No Server)

#ai #javascript #llm #webdev

2 min read

System Rationale

Apr 10

Part 3 — Making Gemma 4 Agents Production-Ready: Guardrails, Structured Outputs, and Self-Healing Systems

#ai #productionagent #agentdesign #multiagent

3 min read

System Rationale

Apr 8

Designing Multi-Agent Systems with Gemma 4: Supervisor and Worker Pattern

#gemma4 #agentdesign #agentworker #multiagent

2 min read

System Rationale

Apr 7

Gemma 4 MoE: frontier quality at 1/10th the API cost

#ai #architecture #llm #machinelearning

2 min read

System Rationale

Apr 6

Gemma 4 on Mobile: Which Model to Load (E2B vs E4B) + Real Implementation Guide

#gemma4 #ondeviceai #mobile #offlineai

3 min read

System Rationale

Apr 6

Why your LLM agent fails at 3 AM (and how state machines fix it)

#agents #architecture #llm #systemdesign

2 min read

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RAG vs GraphRAG: When to Use What (From a Builder’s Perspective)

Want to connect with System Rationale?

Running AI Fully Offline on Mobile with Gemma 4 (Android + iOS)

Running AI in the Browser with Gemma 4 (No API, No Server)

Part 3 — Making Gemma 4 Agents Production-Ready: Guardrails, Structured Outputs, and Self-Healing Systems

Designing Multi-Agent Systems with Gemma 4: Supervisor and Worker Pattern

Gemma 4 MoE: frontier quality at 1/10th the API cost

Gemma 4 on Mobile: Which Model to Load (E2B vs E4B) + Real Implementation Guide

Why your LLM agent fails at 3 AM (and how state machines fix it)