Guides

Practical pages for agencies that run AI automations for clients. Each one lists its sources.

Guide

• Stop the n8n agent bill: 9 ways to cap LLM costs

  Nine layers that keep an n8n AI agent from running up your LLM bill: iteration and token caps, timeouts, per-client budgets, provider limits, approvals.

Answers

• Client approval for n8n AI agents, without n8n access

  Pause before the risky step, send the client a preview with a one-time link, treat silence as a no, and record the decision. How to build it in n8n.

• Cap AI spend per client in n8n, before the call

  Reserve the worst-case cost of each model call against a per-client budget, skip the call if it doesn't fit, and back it with a provider hard limit.

• How to prove to a client what your AI agent did

  An execution log you control is your word against theirs. Hash, chain, anchor and sign each record so a client can check it without trusting you.

• GoHighLevel AI: client approval and a stop per sub-account

  What GoHighLevel's Conversation AI covers natively, and how to add client approval and a per-sub-account stop to the automations you run beside it.

• The client-safe AI checklist: 7 questions to answer

  Seven questions to answer before an AI agent acts for a client: approvals, budget limits, stopping, restarting, proof, and where data and logs live.