Step-by-step guides, automation pipelines, and production blueprints for building multi-agent systems, RAG pipelines, and enterprise AI workflows.
Pi Crew adaptive multi-agent teams with worktree isolation orchestrates autonomous Pi workflows with durable disk-persisted state and parallel execution across isolated environments. A planner agent determines optimal su...
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
Pi Flows YAML DAG multi-agent orchestration is a Pi Coding Agent extension defining reusable YAML DAG workflow templates where each step connects to an isolated agent session with scoped tools. A Flow Architect agent ana...
Deepak Bagada
To build a multi-agent lead generation system in 2026, integrate CrewAI for agentic orchestration and Firecrawl for deep-web data extraction. This setup enables autonomous agents to research prospects, score leads agains...
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
Microsoft Copilot persistent memory, configured with Mem0 as the external context layer, allows AI agents to retain task priorities and project history for over 12 months. Teams using this setup report cutting daily coor...
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
In 2026, Claude Code v2.1 enables autonomous bug fixing by integrating directly into CI/CD pipelines. When an error is detected, the agent reproduces the bug, applies a fix, runs tests, and submits a pull request without...
Deepak Bagada
Deploying Microsoft Work IQ cuts manual busywork by 80%. Learn the exact architecture teams are using to automate complex decisions in 2026.
Deepak Bagada
Deploying Multi-Model Tournaments cuts manual busywork by 80%. Learn the exact architecture teams are using to automate complex decisions in 2026.
Deepak Bagada
Deploying Nemotron 3.5 Guardrails cuts manual busywork by 80%. Learn the exact architecture teams are using to automate complex decisions in 2026.
Deepak Bagada
