The archive
182 tested guides on AI agents, n8n, RAG, and automation — newest first.
An AI agent with real tool access is only as safe as its weakest credential and its execution boundary. This post covers the containment half of agent security: scoping every tool to its own narrow credential instead of one shared key, and running anything that executes code
Browser agents and computer-use agents both drive real interfaces, but they read the page in completely different ways: one asks the browser for a structured list of elements, the other looks at a screenshot and guesses. That difference is why a DOM-aware browser agent is
Long-horizon AI agents don't fail because they run out of context. Andon Labs' Vending-Bench found no correlation between failed runs and how full the context window was. Here is what the verified research says about why agents actually drift on long runs, and the
An LLM judge can pass 80%+ agreement with human raters and still lie to you in specific, documented ways: non-deterministic scores, self-preference bias, leniency, and overfitting to the judge itself. Here is what independently-verified research says about each pitfall, and the
A webhook URL is just a URL, and n8n has no built-in way to confirm a request actually came from Stripe, Twilio, or GitHub rather than anyone who found it. Here is how to build signature verification with a Code node, the raw-body Base64 decoding gotcha that breaks most first
Once you are running more than a handful of n8n workflows, clicking through the editor stops being a reliable way to know what state everything is actually in. Here is how to use n8n's own REST API to monitor executions, catch a silently failing workflow, and deploy a change
Testing a workflow change against the same instance that runs your live automations is one bad expression away from a broken production run. Here is how to set up separate dev, staging, and production n8n instances, parameterize what differs between them, and promote a change
Before an attorney can act on a new inquiry, someone has to sort it by practice area, check for a conflict of interest, and gather the basic facts a first call will need. Here is how to build an n8n AI agent for that intake step, one that never crosses into legal judgment, case
A reservation request at 9 PM with an allergy note can sit unanswered until morning, and the allergy note itself is exactly the detail that cannot get lost. Here is how to build an n8n AI agent that confirms bookings against real availability, flags every allergy verbatim, and
Pulling a vendor and a total off an invoice is the easy half of bookkeeping automation. Deciding which category it belongs to and catching the duplicate that already got entered last month is the harder half. Here is how to build an n8n AI agent for that step, one that flags
An n8n AI agent can read a tenant's maintenance request the moment it arrives, sort it by real urgency and category, and route it to the right vendor before a property manager opens it. Here is how to build the triage logic, why certain safety issues must always bypass it
Answering "can I return this" correctly means checking the purchase date, the item's category, and its condition against your actual policy, all at once. Here is how to build an n8n AI agent that applies your return policy as explicit rules, quotes the specific line it relied
