Continuous coverage of model releases, agentic tools, AI compute infrastructure, and SaaS industry shifts.
Temporal, Trigger.dev, and Inngest are the three leading durable execution platforms for AI workflows in 2026. Temporal offers enterprise-grade state management with seven-language SDK support. Trigger.dev provides TypeS...
Deepak Bagada
Human-in-the-Loop (HITL) AI is an operational model where AI systems and human workers collaborate on tasks, with humans retaining authority to verify, modify, or override AI decisions before execution. In 2026, the EU A...
Deepak Bagada
MCP (Model Context Protocol) servers in production means deploying AI-to-tool integration servers that let AI models securely connect with databases, APIs, and enterprise systems through a standardized protocol. As of mi...
Deepak Bagada
RAG (Retrieval-Augmented Generation) in production uses vector databases to ground LLM responses in private data. 72% of enterprises run RAG pipelines in production in 2026, up from 8% in Q1 2024. Qdrant delivers the low...
Deepak Bagada
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
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
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
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
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
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
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
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
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
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
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
