AI & Agentic Systems

AI & Agentic Systems:
Technical Deep Dives

A deep-dive series on the technical foundations of modern AI — agentic system design, context engineering, evaluation infrastructure, and emerging architectures. Articles in this series are written for practitioners who want substance over surface.

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AI Agentic Systems
Deep Agents: How AI Plans, Uses Context and Completes Complex Work
Deep Agents 10 min read

Deep Agents: How AI Plans, Uses Context and Completes Complex Work

Understand the four core components of deep agents, how they differ from shallow agents, where to use them, and the trade-offs—with simple examples and clear diagrams.

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LLM Caching Strategies: Faster Responses, Lower Costs—Without Stale Answers
LLM Caching 10 min read

LLM Caching Strategies: Faster Responses, Lower Costs—Without Stale Answers

What caching means in AI, how prompt and semantic caching differ, where to use each, and how they reduce repeated computation, token costs and response time—with diagrams and trade-offs.

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Harness Engineering: Building the Test Infrastructure Your AI Agents Actually Need
Evaluation 10 min read

Harness Engineering: Building the Test Infrastructure Your AI Agents Actually Need

The discipline of constructing rigorous, repeatable test infrastructure for AI systems — covering golden datasets, LLM-as-judge evaluation, regression suites, and CI/CD evaluation gates.

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Agentic AI Architecture: A Complete Layer-by-Layer Technical Guide
Architecture 10 min read

Agentic AI Architecture: A Complete Layer-by-Layer Technical Guide

A comprehensive technical deep-dive into every layer of a production-grade agentic AI system — orchestration, specialised agents, memory, tools, observability, reliability, governance, and infrastructure.

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Vectorless RAG: When LLM Reasoning Replaces Vector Search
RAG & Retrieval 10 min read

Vectorless RAG: When LLM Reasoning Replaces Vector Search

How the PageIndex architecture replaces vector similarity with LLM reasoning to plan retrieval — and why it outperforms traditional RAG for structured, multi-hop, and auditable enterprise queries.

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Memory in AI Agents: Architecture, Risks and Enterprise Management
Agent Memory 10 min read

Memory in AI Agents: Architecture, Risks and Enterprise Management

A practical guide to working, semantic, episodic and procedural memory—covering production architecture, poisoning, privacy, stale facts, lifecycle controls and enterprise governance.

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AI Explained · YouTube

Deep Tech. Easy Explanations.

Agentic AI concepts broken down without the jargon. Watch to grasp the architecture, then read the articles for full technical depth.

Agent Memory · now playing

What Is AI Agent Memory? Types, Architecture, Risks & Enterprise Management

Agentic AI

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Dr. Nabanita Sinha

"AI is not the differentiator. How you think and apply it is."