Step-by-step production AI workflow architectures, event loops, and agent orchestration for builders.
The n8n VORTEX pipeline is a 7-agent architecture where each agent specializes in one data processing phase from validation through extension. A Supervisor coordinates via Call n8n Workflow pattern, evaluates each phase...
Deepak Bagada
An n8n multi-agent content pipeline uses the Call n8n Workflow pattern to orchestrate specialist sub-agents in sequence. A Supervisor receives a brief, decomposes it into research, outline, writing, and SEO optimization...
Deepak Bagada
Pi Taskflow is a zero-dependency Pi extension for declarative multi-phase DAG workflow orchestration with dynamic fan-out and cross-session resumable runs. It ships 18 built-in agents across 6 model roles with a JSON DSL...
Deepak Bagada
An n8n multi-agent RAG with dynamic source routing uses a Router agent that evaluates each incoming query to determine the optimal retrieval strategy from five sources. The Router analyzes intent, compares available sour...
Deepak Bagada
Claude Code Agent Teams enable a sequential pipeline where agent teams run in sequence each focused on a specific review dimension. The orchestrator evaluates findings at each handoff and decides to block the PR, issue a...
Deepak Bagada
A Hermes Super Agent A2A fleet combines multi-profile architecture with A2A protocol and Temporal durable workflows for enterprise-grade reliability. A Super Agent manages 20 or more agents via A2A protocol for dynamic d...
Deepak Bagada
A Codex CLI MCP multi-agent pipeline exposes Codex CLI as an MCP server orchestrated with the OpenAI Agents SDK. A Project Manager decomposes your goal into requirements and test documents then enforces gated handoffs ac...
Deepak Bagada
Claude Code dynamic workflows for security audits let you run codebase-wide security reviews by having Claude write a JavaScript orchestration script that fans work across 16 concurrent subagents. Each subagent gets a fo...
Deepak Bagada
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
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
Deploying Nex-N2 Open Source cuts manual busywork by 80%. Learn the exact architecture teams are using to automate complex decisions in 2026.
Deepak Bagada
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
