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PRODUCTION ARCHITECTURE

Production AI Workflows & Multi-Agent Blueprints

Production AI workflows are deterministic, stateful orchestration patterns where autonomous agents perceive context, execute verified tools, manage DAG graphs, and automatically recover from API failures.

Explore runnable, multi-file code architectures for LangGraph, CrewAI, Temporal, and vector stores—benchmarked for token economy, sub-100ms state recovery, and zero token waste.

Research Breakdown AI Workflows

n8n GPT-4o Vision Scraper: Fixing Broken Selectors with Visual AI

The n8n GPT-4o Vision Scraper is a data and analytics workflow that uses the GPT-4o Vision model and Firecrawl to automate resilient web scraping. It saves organizations over 200 hours monthly by replacing fragile CSS se...

Deepak Bagada Deepak Bagada
9m read
Research Breakdown AI Workflows

How to Build Self-Correcting RAG Pipelines with LangGraph

Building self-correcting RAG pipelines with LangGraph involves creating a cyclic state machine that evaluates retrieved documents, rewrites failed queries, and triggers web search fallbacks. By using an agentic loop inst...

Deepak Bagada Deepak Bagada
8m read
Founder Story AI Workflows

How to Build Agentic Security Ops for Automated Remediation

Agentic Security Ops is a framework that uses autonomous AI agents—typically powered by GPT-4o or Gemini 1.5 Pro—within orchestration platforms like n8n to investigate security alerts and execute remediation steps. By mo...

Deepak Bagada Deepak Bagada
4m read
Breaking AI Workflows

How to Build an Autonomous Support Swarm in 120 Minutes

An autonomous support swarm uses n8n and LangChain to coordinate multiple specialized AI agents that resolve customer queries without human triage. By assigning tasks to specialist agents for technical, billing, and acti...

Deepak Bagada Deepak Bagada
4m read
Briefing AI Workflows

NVIDIA Nemotron 3 Ultra Powers Long-Running Agent Workflows

NVIDIA released Nemotron 3 Ultra, a 550-billion parameter mixture-of-experts model with only 55 billion active parameters per token, optimized specifically for long-running agent orchestration workloads. The model uses h...

Deepak Bagada Deepak Bagada
8m read
Research Breakdown AI Workflows

Google AI Overviews Face Landmark Liability Ruling in Germany

A German regional court in Munich found Google directly liable for false claims in AI-generated overviews, ruling that Google cannot hide behind platform liability protections when its AI model generates false statements...

Deepak Bagada Deepak Bagada
8m read
Deep Dive AI Workflows

Beyond Transactional AI: Emotional Intelligence Workflows in 2026

The Inflection Pi Digital Confidant workflow uses the Inflection Pi API integrated with Slack to provide emotionally intelligent career coaching to employees. It agentically decides when to offer advice, listen empatheti...

Deepak Bagada Deepak Bagada
5m read
Founder Story AI Workflows

The 171% ROI Benchmark: Why AI Automation Delivers in 2026

n8n Agentic Lead Enrichment is a sales workflow that uses n8n to pull data from Clearbit and routes it to GPT-4o. The AI agentically decides if the lead fits your Ideal Customer Profile and generates a hyper-personalized...

Deepak Bagada Deepak Bagada
5m read
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