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.
Pi dynamic workflows with JavaScript bring Claude Code-style dynamic orchestration to Pi CLI for adaptive task execution. Write JS scripts using agent, parallel, pipeline, and phase primitives to define the workflow stru...
Deepak Bagada
A Codex agency governance pipeline enforces token budgets per agent, requires human approval gates for high-cost actions, and generates audit trails for compliance. A Governance Agent monitors consumption in real time an...
Deepak Bagada
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
The Hermes Kanban video pipeline uses 4 agent profiles on a kanban board to produce AI-generated videos from script to final cut. The Director writes the script and storyboard with scene descriptions. The Cinematographer...
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
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
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
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
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
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
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