Meshkat Shariat Bagheri

Meshkat Shariat Bagheri

he/him

AI Engineer building local-first agents, RAG systems, OCR pipelines, and enterprise LLM applications.

Blog posts

2026

LangChain v1 AI Engineer Tree: A Practical Map For Building Agents

18 minute read

Published:

LangChain v1 gives AI engineers a cleaner way to think about agent development. Instead of treating models, tools, prompts, memory, RAG, structured output, middleware, and observability as separate pieces, LangChain v1 puts the agent at the center. The main entry point is create_agent, and almost everything else connects to it: the model, tools, system prompt, middleware, response format, checkpointer, runtime context, state, invocation style, RAG layer, multi-agent patterns, and debugging stack.

Agentic-AI: Building A Local-First AI Agent Workspace

9 minute read

Published:

Agentic-AI is a local-first AI agent workspace that combines chat, document retrieval, tool execution, MCP integrations, browser automation, reminders, Telegram access, Exchange/EWS actions, and a Chrome extension into one practical assistant platform. It is built for people who want an AI agent that can work with local files, uploaded documents, web pages, APIs, scheduled tasks, and external tools while keeping control, permissions, and model choice in the user’s hands.

Google I/O 2026: The Beginning of the Agentic AI Era

6 minute read

Published:

Google I/O 2026 wasn’t just another developer conference. It was Google’s clearest signal yet that the company is moving beyond AI assistants into a world of fully agentic computing — where AI systems don’t just answer questions, but actively complete tasks, coordinate workflows, and operate continuously in the background.

Security and Governance in the Age of Agentic AI

6 minute read

Published:

Agentic AI is no longer a futuristic concept — it’s already here. These aren’t simple chatbots anymore. These are autonomous agents that can schedule appointments, trade stocks, extract data, or even make purchases without waiting for a human to click a button.

Collaborating AI Agents with A2A

5 minute read

Published:

Today I’m sharing an in-depth overview of the A2A protocol created by Google — a standard designed to enable AI agents to communicate and collaborate with each other seamlessly, even if they’re built with entirely different systems.

2025

Building a Custom MCP Server with Python

2 minute read

Published:

By learning new concepts introduced in the AI world, you can always be a better developer, having a better understanding of what’s new and what technologies should you adapt. MCP introduced by Anthropic is one of these major new incoming concepts into the world of AI. This is a detailed guide on how to build a custom Model Context Protocol (MCP) server using Python.

Grok 3: The World’s Smartest AI? Elon Musk Unveils Groundbreaking AI Model

4 minute read

Published:

🚀 Elon Musk has just unveiled Grok 3, calling it the “world’s smartest AI.”
According to benchmark results and blind tests, it outperforms Gemini 2, DeepSeek V3, Claude 3.5 Sonet, and GPT-4o in multiple categories. Let’s break down why Grok 3 might be the most advanced AI model to date.

OpenAI Deep Research: The AI Agent for Automated Multi-Step Research

4 minute read

Published:

🚀 OpenAI has just announced “Deep Research”—their second AI agent after Operator. This AI agent is designed to autonomously plan and execute multi-step research workflows, significantly accelerating knowledge-intensive tasks. Whether it’s finance, science, policy, engineering, or even complex shopping decisions, Deep Research can synthesize vast amounts of information in minutes. Let’s explore what this groundbreaking AI agent can do.

OpenAI o3 Mini: A Game-Changer for AI-Powered Reasoning and Coding

4 minute read

Published:

OpenAI has just launched o3 Mini, a fast, efficient, and cost-effective AI model with impressive reasoning and coding capabilities. This release is a direct response to the competitive landscape, particularly influenced by DeepSeek’s recent innovations. Let’s dive into the features, benchmarks, and real-world applications of o3 Mini.

Operator AI: Revolutionizing Task Automation with Agentic AI

3 minute read

Published:

OpenAI’s latest innovation, Operator AI, has just launched, marking a significant step forward in agentic AI technology. Operator AI is an AI agent capable of independently accomplishing tasks, revolutionizing how we approach work, productivity, and creativity. Here’s everything you need to know about this exciting development.

LangChain vs LangGraph: Choosing the Right Framework for LLM Applications

2 minute read

Published:

LangChain and LangGraph are two open-source frameworks designed to help developers build applications using large language models (LLMs). While both have unique strengths, their differences cater to specific use cases. Let’s dive into what sets them apart and when to use each.

OpenAI Introduces Scheduled Tasks with GPT-4.0: A Game-Changer for Productivity

2 minute read

Published:

OpenAI’s latest GPT-4.0 update introduces scheduled tasks and recurring reminders, marking a significant leap in how AI integrates into daily life. This new feature offers a seamless way to automate routines, stay informed, and personalize interactions. Here’s a breakdown of its potential, use cases, and where this might lead.

RStar Math: Microsoft’s Breakthrough in Self-Improving AI Models

3 minute read

Published:

In a groundbreaking research paper, Microsoft has introduced RStar Math, a small language model (SLM) capable of self-improvement through deep reasoning. The paper, titled “RStar Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking”, outlines a system that challenges the capabilities of larger models like GPT-4 and OpenAI’s GPT-3.5-turbo without relying on model distillation.

CES 2025 Day 3 Recap: From AI-Driven Vehicles to Truly Wireless TVs

2 minute read

Published:

Day 3 of CES 2025 showcased the best of AI innovation, cutting-edge automotive technology, and futuristic home gadgets. From Sony and Honda’s Afeela EV to the world’s first truly wireless TV, this year’s event reaffirms that AI is creeping into every corner of our lives.

CES 2025 Day 1 Highlights: Nvidia Dominates with AI and Robotics

3 minute read

Published:

CES 2025 kicked off in Las Vegas with a dazzling display of groundbreaking technology. With over 4,500 exhibitors and 232,000 square meters packed with innovations, AI stood out as the dominant theme, reshaping industries ranging from gaming and robotics to healthcare and autonomous vehicles.

Why OpenAI is Delaying AI Agents: A Look at the Risks and Challenges

3 minute read

Published:

As 2025 unfolds as the “Year of AI Agents,” many are questioning why OpenAI, a leader in AI innovation, has yet to release its highly anticipated AI agents. Competitors like Google with Project Mariner and Anthropic with Claude’s computer-use capabilities have already entered the race. However, OpenAI’s hesitation stems from critical safety and reliability concerns. See the youtube video below for more information: YouTube

NVIDIA’s Vision for Physical AI: A New Frontier in Robotics and Autonomous Systems

2 minute read

Published:

NVIDIA CEO Jensen Huang recently introduced a groundbreaking vision for Physical AI, emphasizing its potential to revolutionize industries such as robotics and autonomous vehicles. This evolution extends beyond generative and agentic AI, focusing on embodied intelligence capable of interacting with the physical world.

AI Assistants, Agents, and RAG Agents: Understanding the Key Differences

2 minute read

Published:

As AI technology evolves, distinguishing between AI Assistants, AI Agents, and RAG Agents (Retrieval-Augmented Generation) becomes crucial. Each offers unique capabilities and applications, enabling users and developers to leverage AI for specific tasks more effectively.

2024

[Meta] Large Concept Models: Redefining AI Beyond Large Language Models

1 minute read

Published:

Meta has introduced a groundbreaking concept in the AI field called Large Concept Models (LCMs), signaling a paradigm shift away from traditional Large Language Models (LLMs). This innovation redefines how AI processes and understands language, aiming to address some inherent limitations of LLMs. For full paper, you can access it here: Large Concept Models

[OpenAI] Structured Outputs: Unlocking Reliable AI Applications

1 minute read

Published:

OpenAI introduced structured outputs in August, a transformative feature in their API that ensures AI-generated outputs adhere to developer-specified JSON schemas. This innovation addresses long-standing challenges in working with LLMs, particularly reliability issues in text-to-JSON transformations. For full video, check out this link: YouTube

[OpenAI] Realtime API: Revolutionizing Multimodal Interactions

1 minute read

Published:

OpenAI introduced the Realtime API, enabling low-latency, multimodal interactions for building voice-driven applications. This API unifies speech-to-speech capabilities, natively understanding and generating speech without intermediate text conversion, providing developers with powerful tools for natural and fluid interactions. For full video, check out this link: YouTube