The Blog

Notes on AI & Engineering

Writing about RAG pipelines, LLM agents, and what it takes to bridge Generative AI with production-grade full-stack systems.

Hermes AgentNous ResearchAI Agents

Setting Up Hermes Agent: A Self-Improving AI Assistant That Lives in Your Terminal

Nous Research's Hermes Agent isn't just another CLI wrapper around an LLM. It builds its own skills from experience, remembers you across sessions, and runs from Telegram just as easily as your terminal. Here's what setting it up actually looks like.

Sep 4, 2026 · 4 min read
GPT-6OpenAIAstra

GPT-6 Astra Just Shipped: What It Actually Means for AI Engineers

OpenAI released GPT-6 Astra yesterday and called it a step toward AGI. Here's what actually changed under the hood, and what matters if you're building production AI systems rather than watching the keynote.

Sep 4, 2026 · 4 min read
AITelegramClaude

How I Built a Personal AI Assistant on Telegram Using Claude

A step-by-step guide to connecting Anthropic's Claude AI to Telegram, including real use cases, hidden risks, and everything it costs.

Aug 10, 2026 · 7 min read
RAGLangChainFAISS

Building Production-Ready RAG Pipelines: Lessons from DocuMind

Retrieval-Augmented Generation looks simple in a tutorial. Shipping it with sub-2-second latency, conversational memory, and predictable costs is a different problem entirely.

Jun 12, 2026 · 2 min read
AgentsLangGraphLangChain

From ReAct to LangGraph: Designing Reliable LLM Agents

A plain ReAct loop is enough to impress in a demo. It falls apart the moment you need observability, conditional branches, or a human in the loop. Here's why I rebuilt AgentFlow on LangGraph.

May 3, 2026 · 2 min read
CareerGenAIFull-Stack

Bridging Full-Stack Engineering and Generative AI

The most valuable AI engineers I know aren't the ones who only understand transformers. They're the ones who can also ship the dashboard, the auth flow, and the deployment pipeline around the model.

Mar 21, 2026 · 2 min read