Guides: n8n, AI chatbots and LLM integration
Practical notes from building automations and AI features for clients and for our own products. No filler: what works, what to avoid and what to ask before you hire.
n8n Workflow Automation: What It Is and When to Use It
n8n is a workflow automation tool that connects apps and APIs through visual nodes: a trigger starts a workflow, and each node transforms data or calls a service. It can be self-hosted or run in the cloud. It suits teams that need branching logic, custom code or control over where data runs.
Read the guide · 5 minHiring an n8n Automation Developer: Scope, Cost Drivers and Red Flags
When you hire an n8n developer, define the trigger, the systems involved and what counts as done. Cost is driven by the number of integrations, error handling, data volume and who maintains it afterwards, not by the number of nodes. Good developers hand over documentation and monitoring, not just a working demo.
Read the guide · 5 minMaking n8n Workflows Production-Ready: Errors, Retries and Monitoring
A production n8n workflow needs a dedicated error workflow that alerts a person, retries on transient failures, idempotent steps so retries do not duplicate work, secured webhooks and execution monitoring. Without these, a workflow that worked in testing fails silently the first time an API is slow.
Read the guide · 6 minHow to Integrate an LLM Into an Existing Product: A Practical Checklist
To integrate an LLM into an existing product, choose one narrow task, ground the model in your own data, keep a human review step, put the provider behind a thin interface, control cost and logging, and measure quality on real samples before launch. Most failures come from skipping evaluation, not from the model.
Read the guide · 6 minCustom AI Chatbot for Business: Rules, RAG or Agent?
A rule-based bot follows fixed flows, a RAG chatbot answers from your own documents, and an agent can also take actions in your systems. Most businesses should start with RAG plus a clear human handover, add rules for sensitive steps, and only add agent behaviour once the answers are reliable.
Read the guide · 5 minHave a project like this?
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