Step-by-step guides, automation pipelines, and production blueprints for building multi-agent systems, RAG pipelines, and enterprise AI workflows.
Automate lead enrichment is a system that uses n8n v1.52.0 to capture inbound leads, route them to Clay API v2 for multi-source data lookup, and sync verified company attributes directly to CRM databases. The workflow co...
Deepak Bagada
Running Browser-use and Playwright headless in Docker allows developers to deploy self-healing web automation agents without local dependency conflicts or layout breaks. By utilizing official Playwright images on Docker...
Deepak Bagada
Automate invoice processing is a digital system that uses n8n v1.52.0 and Ollama v0.5.0 with Llama 3.2 Vision to extract unstructured line items from scanned invoice images and sync them to financial databases. This loca...
Deepak Bagada
AutoGen vs CrewAI comparison evaluates Python multi-agent orchestration frameworks for enterprise automation projects. Choosing the right framework reduces support ticket routing latency from forty-five minutes to three...
Deepak Bagada
Automate content repurposing is an operational workflow that uses Make.com to monitor content hubs, send raw text to the Claude API v1 message endpoint, and distribute tailored social media drafts directly to distributio...
Deepak Bagada
AI agent security guardrails check incoming user prompts and outgoing agent responses using Llama Guard. Routing model inputs through a safety-checking classifier prevents prompt injections, toxic generations, and data e...
Deepak Bagada
AI meeting summarizer is a media processing architecture that integrates LiveKit Agent SDK v0.10.0 and Whisper API v2 to transcribe and summarize live audio tracks. This architecture connects WebRTC voice channels to clo...
Deepak Bagada
An agentic RAG semantic router intercepts incoming queries using semantic-router v0.0.20 to perform local similarity matching before hitting vector databases. By verifying intents against predefined routes, it routes que...
Deepak Bagada
n8n AI agent workflows combine n8n's visual workflow automation platform with built-in AI Agent nodes that connect to GPT-5, Claude, Gemini, and local models via Ollama. The AI Agent node uses four components: an LLM con...
Deepak Bagada
AI governance for enterprise workflows is the framework of policies, controls, and audit mechanisms that ensure AI systems operate safely, ethically, and in compliance with regulations like the EU AI Act (effective Augus...
Deepak Bagada
Multi-agent systems in production involve deploying multiple specialized AI agents that collaborate on complex tasks through defined coordination patterns. Enterprise adoption grew 340% year-over-year in 2026, with 73% o...
Deepak Bagada
AI SaaS architecture in 2026 combines agent infrastructure (Vercel AI SDK or LangGraph), vector databases (Pinecone or Qdrant), durable execution (Temporal or Trigger.dev), MCP servers for tool integration, and authentic...
Deepak Bagada
