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Founder Story AI Workflows

RAG Pipeline Production: Vector Database Benchmarks 2026

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 Deepak Bagada
7m read
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
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
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
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
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
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
Briefing AI Workflows

ElevenLabs Voice Sunday Agent: Make 10 Calls

ElevenLabs Voice Sunday Agent routes inbound customer calls to low-latency voice assistants. Integrating Twilio and speech-to-text models, the bot answers FAQs and schedules 10 appointments, saving team members 15 hours...

Deepak Bagada Deepak Bagada
16m read
Research Breakdown AI Workflows

Clay n8n Enrichment Sunday: Rate 100 Leads

Clay n8n Enrichment Sunday implements automated lead scoring pipelines. Scraping hiring metrics and company tech profiles, the system rates and qualifies 100 outbound prospects, saving growth marketers 18 hours weekly.

Deepak Bagada Deepak Bagada
18m read
Founder Story AI Workflows

DeepSeek-R1 n8n Sunday Audit: 5 Step Setup

DeepSeek-R1 n8n Sunday Audit automates database security audits and log analysis on self-hosted n8n nodes using local Ollama runners. Running entirely offline, the system scans directories and alerts DevOps in 5 steps, s...

Deepak Bagada Deepak Bagada
20m read
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