The Blog
Deep dives on the agents, models, and labs that actually matter. No hype, no filler.
World Models
World foundation models (WFMs) learn a physics-aware, controllable simulation of an environment — not passive video, but worlds you can act inside. Here is what a WFM actually is, how it differs from an LLM, how the architectures work, the 2026 landscape (NVIDIA Cosmos 3, DeepMind Genie 3, World Labs Marble), and how builders can start using them today.
Jithin Kumar Palepu · Jun 4, 2026 · 16 min read
AI Retrieval
Direct Corpus Interaction (DCI) throws away the vector database and hands the agent a terminal — grep, find, sed over the raw documents. No embeddings, no index, no top-k cutoff. Here is how it works, why Claude Code already proved it, where it beats vector RAG, and why the honest answer is hybrid.
Jithin Kumar Palepu · Jun 1, 2026 · 14 min read
AI Engineering
Frontier models are converging, so the real differentiator has moved to the harness — the engineered scaffolding of context, tools, loops, verification, and memory wrapped around the model. Here is how harness engineering works, dissected across Claude Code, Cursor, and Devin, and why it produces what we call hyper agents.
Jithin Kumar Palepu · May 31, 2026 · 19 min read
AI Models
Anthropic shipped Claude Opus 4.8 just 41 days after 4.7, and it wins 6 of 7 head-to-head benchmarks against GPT-5.5 and Gemini 3.1 Pro. Full breakdown of benchmarks, Dynamic Workflows, Effort Control, Fast Mode, pricing, and the safety gains nobody is talking about.
Jithin Kumar Palepu · May 28, 2026 · 13 min read
AI Agents
Discover how browser agents like BrowserUse, Google Gemini 2.5, and OpenAI Operator are revolutionizing automation. Learn about computer use capabilities, security implications, and practical applications.
Jithin Kumar Palepu · Oct 17, 2025 · 18 min read
Neural Networks
Language models that try to understand images, audio, and video usually get worse at text. Qwen3 Omni figured out how to do it all without breaking anything.
Jithin Kumar Palepu · Sep 25, 2025 · 15 min read
AI Delivery
Your model speaks in paragraphs while your product expects tidy payloads. Here is the field guide to balancing conversational freedom with schemas that production systems can trust.
Jithin Kumar Palepu · Sep 22, 2025 · 17 min read
AI Education
EVERYONE talks about AI Agents but 99.9% dont EVEN know where to start? Most people overcomplicate it. Heres the ONLY roadmap you need, from GenAI basics to building multi agent systems.
Jithin Kumar Palepu · Sep 4, 2025 · 12 min read
AI Architecture
I just spent 6 months watching two teams build the exact same product with completely different approaches. One used a single super-agent, the other used 12 specialized ones. The results will surprise you.
Jithin Kumar Palepu · Aug 4, 2025 · 22 min read
Neural Networks
Qwen3-Coder dethroned Kimi-k2 after just 13 days. Learn how this 35B active parameter model beats trillion-parameter giants using MoE architecture, proving that better techniques beat bigger size.
Jithin Kumar Palepu · Jul 28, 2025 · 20 min read
AI Autonomy
We keep throwing around the word "agent" in AI, but what actually makes something agentic? Here's the framework I use to understand the spectrum from simple chatbots to truly autonomous digital workers.
Jithin Kumar Palepu · Jul 26, 2025 · 20 min read
Neural Networks
Complete guide to all neural network types in 2025. Learn CNNs for computer vision, RNNs/LSTMs for sequences, Transformers (ChatGPT/Claude), and Mixture of Experts with real-world examples and code.
Jithin Kumar Palepu · Jul 20, 2025 · 15 min read
AI Architecture
The eternal dilemma in AI system design: should you build autonomous agents or deterministic workflows? Understanding when to use each approach can make or break your AI project.
Jithin Kumar Palepu · Jul 19, 2025 · 18 min read
Future of APIs
Forget REST endpoints and GraphQL schemas. The future of software integration might be as simple as saying "hey, can you do this for me?" But what does this mean for developers?
Jithin Kumar Palepu · Jul 15, 2025 · 16 min read
Multi-Agent Systems
How do AI agents resolve conflicts? Exploring voting mechanisms, hierarchies, emergent leadership, and lessons from distributed systems for building consensus.
Jithin Kumar Palepu · Jul 14, 2025 · 14 min read
AI Architecture
Exploring the emergence of complex AI architectures where agents orchestrate other agents, creating unprecedented levels of capability and complexity.
Jithin Kumar Palepu · Jul 11, 2025 · 15 min read
AI Agent Implementation
Learn to build a production-ready AI agent that automatically searches for jobs daily and sends personalized email notifications. Complete implementation with GPT web search, email automation, and scheduling.
Jithin Kumar Palepu · Jul 11, 2025 · 25 min read
AI Development
When should AI agents write code versus use pre-built tools? Explore the security implications, performance benchmarks, and decision framework for choosing between tool calling and code generation in AI systems.
Jithin Kumar Palepu · Jul 10, 2025 · 15 min read
AI Architecture
Exploring the architectural parallels between software evolution and AI system design. Learn how AI agents mirror microservices architecture and what this means for the future of software development.
Jithin Kumar Palepu · Jul 9, 2025 · 12 min read
Memory Systems
Explore how advanced memory architectures enable AI agents to learn, adapt, and develop persistent personalities. From episodic memory that captures experiences to semantic memory that builds knowledge, discover the systems that make agents truly intelligent.
Jithin Kumar Palepu · Jul 8, 2025 · 20 min read
Agentic AI
Discover how Small Language Models (SLMs) are revolutionizing agentic AI by delivering specialized performance with dramatically reduced computational costs. Learn implementation strategies, performance metrics, and real-world applications.
Jithin Kumar Palepu · Jul 7, 2025 · 15 min read
Context Engineering
Discover how context engineering revolutionizes AI interactions by strategically managing background information, conversation history, and environmental context to dramatically improve AI response quality and consistency.
Jithin Kumar Palepu · Jul 4, 2025 · 15 min read
Prompt Engineering
Learn the fundamental techniques of prompt engineering including zero-shot, few-shot, chain of thought, and role-based prompting. This comprehensive guide includes practical Python implementations and real-world examples.
Jithin Kumar Palepu · Jul 2, 2025 · 12 min read
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