Production AI Workflows & Multi-Agent Blueprints

n8n + Claude API AI Research Agent uses Claude 3.5 Sonnet for analysis and Perplexity API for real-time web research, orchestrated through n8n's visual workflow builder. The agent evaluates sources for credibility, ident...

Codex + Claude Code Multi-Agent Review Pipeline runs two AI models as adversarial reviewers in parallel via n8n orchestration. Claude Code checks architecture and conventions while Codex checks security and performance....

Hermes Agent supports four parallel subagent patterns: Parallel Independent (same task to N agents), Pipeline with Dependencies (chain tasks sequentially), Fan-Out/Fan-In (split work then merge), and Competitive (N agent...

Build an autonomous content publishing pipeline with Hermes subagents. Coordinate research, fact-checking, and editorial voice swarms for zero-slop SEO dominance.

Collaborate with Claw Groups Kimi K2.6 collaboration by deploying agents across your laptop, cloud server, and phone as a single coordinated team. Before this workflow, agents were tied to one device and could not hand o...

Kimi K2.6 builds production-ready web applications from natural language prompts in hours instead of days. Before this workflow, a developer needed two weeks to build 30 restaurant landing pages with individual menus, ho...

Claude Code by Anthropic automates CI/CD pipeline diagnostics using Opus 4.8 to resolve 90% of deployment failures without human intervention. Teams using this workflow cut mean time to recovery from 45 minutes to 5 minu...

Kimi K2.6 Agent Swarm content production automates the creation of 300 personalized marketing assets in a single autonomous run. Before this workflow, a marketing team needed two weeks and 40 hours of manual work. After...

Autonomous legal research uses AI agents like Harvey and CoCounsel to interpret legal theories, identify precedents, and verify citations across multiple jurisdictions. Law firms using this agentic approach cut per-brief...

Compare n8n, Zapier, and Make for AI workflow automation in 2026. Side-by-side analysis of AI capabilities, pricing, self-hosting, and production readiness for teams of all sizes.

Essential security practices for AI agent deployments in 2026. Learn about least-privilege access, prompt injection prevention, data privacy, and governance for production agent systems.

Learn how Model Context Protocol (MCP) servers extend AI agents with real-world tool access. From databases to browsers, connect Claude and other AI assistants to your entire infrastructure.