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Latest Artificial Intelligence News & Dispatches

Continuous coverage of model releases, agentic tools, AI compute infrastructure, and SaaS industry shifts.

Briefing AI Workflows

How to Build n8n Workflows with Claude Code: 6 Steps (2026)

Claude Code n8n automation means Claude's terminal agent writes, configures, and deploys complete n8n workflow JSON files from a single plain-English description — no manual node wiring required. Build time drops from 2-...

Deepak Bagada Deepak Bagada
10m read
Deep Dive Agentic AI

Supabase RLS for Agents: Secure Your DB in 6 Steps

Supabase RLS for Agents enforces row-level security on PostgreSQL tables containing agent conversation memory and user data. It utilizes JSON Web Token claims inside policies wrapped in select statements to cache identit...

Deepak Bagada Deepak Bagada
12m read
Research Breakdown AI Workflows

Trigger.dev vs Temporal for AI Workflows: 2026 Verdict

Trigger.dev vs Temporal is an architectural comparison between programmatic checkpoint-resume task routing and strict event-sourced deterministic workflow replay. Trigger.dev v3.0.0 offers a lightweight TypeScript enviro...

Deepak Bagada Deepak Bagada
12m read
Deep Dive Agentic AI

Pydantic AI Tutorial: Build Type-Safe Agents in 2026

Pydantic AI Tutorial is a technical guide to building type-safe agents in Python using Pydantic AI v0.1.0 and FastAPI v0.111.0. This configuration enables developers to validate LLM inputs and outputs, manage dynamic dep...

Deepak Bagada Deepak Bagada
12m read
Breaking AI Workflows

n8n Claude Code Workflows: From 4 Hours to 8 Minutes

n8n Claude Code Workflows is a system where Anthropic Claude Code v0.2.0 terminal agent automatically creates, configures, and tests custom n8n nodes and JSON schemas in a local terminal. This approach reduces workflow s...

Deepak Bagada Deepak Bagada
12m read
Briefing Agentic AI

Playwright AI Agents: Automate Web Forms in 5 Steps

Playwright AI Agents automate form submissions by combining Playwright v1.44.0 browser controls with OpenAI GPT-4o visual analysis. Instead of relying on brittle CSS selectors, these agents analyze page screenshots to id...

Deepak Bagada Deepak Bagada
12m read
Deep Dive AI Workflows

n8n AI Agents: Build Production Workflows in 6 Steps

An n8n AI Agents system links OpenAI GPT-4o models to visual workflows to automate customer ticket sorting. The implementation cuts triage times from three hours down to nine seconds while managing API errors and memory...

Deepak Bagada Deepak Bagada
12m read
Research Breakdown Agentic AI

Mastra AI Framework: Build Node.js Agents in 5 Steps

Mastra AI Framework is an open-source TypeScript library for running autonomous agents directly in Node.js applications. It compiles Zod schemas for tool calls and traces executions using a local Dev Studio. SaaSNext tes...

Deepak Bagada Deepak Bagada
12m read
Breaking Tutorials

LangGraph State Management: Complete 2026 Guide

LangGraph State Management compiles python-based state charts with checkpointing for multi-agent workflows. Using a PostgreSQL database checkpointer saver enables session resumption and time-travel debugging. Enterprise...

Deepak Bagada Deepak Bagada
12m read
Briefing AI Workflows

LangGraph vs n8n for AI Workflows: 2026 Verdict

LangGraph vs n8n is an architectural choice between code-driven state charts and visual node pipelines. LangGraph compiles python-based state charts with checkpointing for deep loops, while n8n provides a visual canvas w...

Deepak Bagada Deepak Bagada
11m read
Deep Dive Productivity

LLM Memory with Mem0: Build Persistent AI in 5 Steps

LLM Memory with Mem0 is an architecture where AI agents use GPT-4o and SQLite v3.45 to store and recall user profiles. This local-first persistent memory reduces token consumption by sixty-five percent and improves retri...

Deepak Bagada Deepak Bagada
11m read
Deep Dive Agentic AI

CrewAI vs LangGraph for Multi-Agent Systems in 2026

CrewAI vs LangGraph is an architectural choice between role-based agent teams and state-chart graphs to coordinate language models. CrewAI assigns backstories, goals, and sequential tasks to coordinate agents, whereas La...

Deepak Bagada Deepak Bagada
12m read
Research Breakdown AI Workflows

LangGraph Human-in-the-Loop: 5 Steps to Production AI

LangGraph Human-in-the-Loop is a stateful design pattern that compiles Python graphs with interrupt gates to pause autonomous operations. The system intercepts the graph execution before database modifications, routes ap...

Deepak Bagada Deepak Bagada
13m read
Research Breakdown AI Tools

Build MCP Servers with FastMCP in 10 Minutes (2026)

Build MCP Servers with FastMCP is the process of using Anthropic's high-level Python framework to expose local databases, custom APIs, and terminal utilities to agentic clients like Claude Code. This approach connects lo...

Deepak Bagada Deepak Bagada
13m read
Breaking AI Workflows

Connect n8n to MCP Servers in 6 Steps (2026)

Connecting n8n to MCP allows terminal agents like Claude Code to execute visual workflows by wrapping n8n webhooks in a FastMCP server. This integration standardizes custom API wrappers, reducing deployment time from six...

Deepak Bagada Deepak Bagada
11m read
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