Build Ai-ready Data First
Build AI-ready data workflows with n8n, Postgres and Supabase. Validate records, route exceptions, improve audit trails and give AI agents trusted data to work from.
Build Ai-ready Data First
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Featured Posts
n8n Skills: Faster Builds, Safer Delivery
Explore how Official n8n Skills helps Claude Code and Codex build and validate visible n8n workflows through MCP, while people retain control over credentials, testing and production releases.
n8n Skills: Faster Builds, Safer Delivery
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Build A Candidate Triage Agent
Learn how a candidate triage agent connects recruitment systems, CV evidence, AI extraction, human review and audit trails to improve hiring workflows without handing decisions to AI.
Build A Candidate Triage Agent
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AI as an Operating Layer
HP’s OpenAI partnership signals a shift from AI pilots to connected AI operating layers, with workflow automation, trusted data, permissions and governance built around real business processes.
AI as an Operating Layer
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n8n Q1 2026 Upgrades: Quiet Power-ups For Enterprise-grade Automation
Recent n8n updates turn it from a visual automation tool into serious automation infrastructure, with IDE-grade Code nodes, Microsoft Entra ID identity workflows, smarter AI Agents with vector stores and richer forms for internal request portals.
n8n Q1 2026 Upgrades: Quiet Power-ups For Enterprise-grade Automation
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Unlocking n8n Chat Hub as Your Internal AI Front Door
n8n Chat Hub becomes a central, governed AI chat workspace where teams talk to internal agents instead of juggling separate bots. Learn how to use it for policy helpdesks, self serve reporting, sales copilots and IT incident support, all powered by real n8n workflows.
Unlocking n8n Chat Hub as Your Internal AI Front Door
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Safer n8n Sub-workflows With The V2.0 Wait Node Fix
n8n v2.0 fixes Wait node behaviour in sub-workflows so Human-in-the-Loop approvals and long-running AI workflows become safer and easier to design, with reusable approval gates, async orchestrators, audit logging and timeouts.
Safer n8n Sub-workflows With The V2.0 Wait Node Fix
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From New Hire To Reliable n8n AI Agent
Most flaky AI in n8n workflows comes from vague prompts, not weak models. Learn how to use Anthropic style job description prompts, central libraries, examples and strict schemas so Claude based agents behave like reliable colleagues.
From New Hire To Reliable n8n AI Agent
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