18 stories
Gemini 4 Argon just dropped, and n8n is one of the first companies to use and integrate the model. Check out how you can use it with your existing n8n workflows and how to build new ones. Here are the benchmarks Google published:Benchmarks reported by Google. Source: Gemini 4
Every weekday at 8am, this workflow searches the day's AI news, scores every article for materiality at about $0.00004 apiece, and posts one cited brief per topic to Slack. Topics with no real news get no post.
Compare 11 DevOps automation tools for modern engineering teams. Learn how to choose the right platforms for each layer of your stack.
The best IT automation software depends on what you’re automating. Here’s where six popular tools fit and what each brings to your IT stack.
API contract testing helps you catch breaking changes before they disrupt your workflows. See how n8n validates API responses while your automations run.
Compare iPaaS versus API management tools. See why engineering teams that need execution control, self-hosting, and code-level extensibility reach for n8n.
An LLM knowledge graph and vector RAG ground models differently. See when to use each, how to build a knowledge graph from text, and how to run both smoothly.
On n8n Cloud, you can now buy extra Assistant credits when you run out - manually or with auto top-up. Here's how it works.
n8n now has a new type of Agent. Describe what an agent should do, choose a model, the tools and workflows it can use, and it's ready to go!
Still guessing if your prompts work? Learn how to build a systematic prompt testing framework that catches regressions before they reach production.
Learn how to reduce AI workflow latency with production patterns for latency optimization: model routing, caching, parallel execution, timeouts, and budgets.
API rate limiting doesn't have to mean failed workflows. Learn how limits work and how to handle 429s with retries, batching, and smart pacing.
Starting with n8n v2.36, you can now use supported AI models and tool services on select n8n Cloud plans without creating a provider account or generating an API key. Choose Gateway credits instead of adding a credential. Six model providers and five tool services work right out of the box.
Compare deterministic, dynamic, and agentic process orchestration models to build reliable, scalable workflows with visibility across enterprise systems.
Reflection pattern for LLMs: a self-critique loop that improves correctness, clarity, and reliability with measurable quality gates, ROI, and safety controls
MCP vs. API: Learn how the Model Context Protocol differs from traditional APIs, when to use each, and how to combine both in n8n.
Discover what autonomous AI agents are and how they work. Learn different levels of autonomy, common use cases, and ways to mitigate risks.
If you've built anything in n8n, you know the gap: you can describe what you want to automate in a sentence, but that's not the same as knowing which nodes to use, in what order, configured how, and connected to which accounts. And when the first
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