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Glossary β€” plain-language definitions

Keep this open while you read the kit. Terms are grouped by where you will meet them.

Business terms

  • Agency β€” a service business that does work for clients. Here: builds and maintains automations.
  • Productized service β€” a service with a fixed name, scope, price and process, sold like a product.
  • Retainer / MRR (monthly recurring revenue) β€” a fixed monthly fee for ongoing service.
  • Setup fee β€” a one-time fee for building and launching an automation.
  • White-label β€” you build, another company sells it under its own brand.
  • Scope β€” the written list of what is included and what is not.
  • Change request β€” a written ask to add or alter something outside the scope, usually priced separately.
  • SOW (statement of work) β€” a document that lists deliverables, timeline, responsibilities and price.
  • SOP (standard operating procedure) β€” a step-by-step checklist for doing a task the same way every time.
  • Discovery β€” the conversation and research phase where you learn the client's process and pain before proposing.
  • Upsell / expansion β€” selling an additional automation or plan to an existing client.
  • Churn β€” clients cancelling. The enemy of MRR.
  • ROI (return on investment) β€” value gained divided by cost. Used to justify your price.
  • Loaded hourly cost β€” an employee's wage plus taxes, benefits and overhead, per hour. Usually 1.25–1.4Γ— salary.

Technical terms

  • Automation / workflow β€” a chain of steps that runs automatically when something happens.
  • Trigger β€” the event that starts a workflow: a form is submitted, an email arrives, it is 9:00 on Monday.
  • Node β€” one step in an n8n/Make workflow (a box on the canvas). Each node does one job.
  • API (application programming interface) β€” a way for one software to talk to another by sending requests. Think of it as a waiter taking orders between two kitchens.
  • API key β€” a secret password that identifies you to an API. Treat it like a bank password.
  • Webhook β€” a URL that a service calls when something happens ("push" instead of "ask"). Your workflow listens at that URL.
  • Polling β€” the workflow checks a service every few minutes for new items. Used when a service has no webhook.
  • HTTP request β€” the basic way to call an API: a method (GET, POST), a URL, headers, and often a body.
  • JSON β€” the text format APIs use to exchange data: {"name": "Ana", "score": 82}. Keys and values in braces.
  • Structured data β€” data with a fixed shape (fields, types). The opposite of free text.
  • Expression β€” in n8n, a small piece of code inside {{ }} that pulls a value from a previous step, e.g. {{ $json.email }}.
  • Credential β€” a stored login (OAuth connection or API key) that n8n uses to talk to a service. Stored encrypted, never inside the workflow file.
  • OAuth β€” the "Sign in with Google" style of authorisation. You click Allow; no password is shared.
  • LLM (large language model) β€” the AI models that read and write text: GPT (OpenAI), Claude (Anthropic), Gemini (Google).
  • Prompt β€” the instructions you give a model. System prompt = standing instructions (role, rules, format); user prompt = the task and the data.
  • Token β€” the unit models count text in; roughly 3/4 of a word in English. Pricing is per million tokens.
  • Temperature β€” a setting from 0 to 1 (or 2): low = predictable, high = creative. Use low for business automations.
  • Context / context window β€” everything the model can see at once (prompt + data). It has a maximum size.
  • Memory β€” for chat use-cases, storing previous messages so the model remembers the conversation. Automations usually have no memory; each run is fresh.
  • Hallucination β€” the model states something false with confidence. Mitigated by giving it the facts, constraining the output, and human review.
  • Prompt injection β€” when text the model reads (an email, a web page) contains instructions that hijack it ("ignore your rules and…"). Mitigated by separating data from instructions and limiting what the workflow can do.
  • RAG (retrieval-augmented generation) β€” giving the model the relevant documents at question time so it answers from your data instead of guessing.
  • Vector database β€” a database that finds "similar meaning" text; used in RAG. ADVANCED; not required for the core automations.
  • Rate limit β€” the maximum number of requests a service allows per minute/day. Exceeding it returns error 429.
  • Error handling β€” what the workflow does when a step fails: retry, skip, alert a human.
  • Human-in-the-loop (HITL) β€” a step where a person approves or edits before the workflow continues.
  • Idempotent β€” running the same step twice does not create a duplicate. Important for "send" and "create" actions.
  • Environment variable β€” a setting stored outside the workflow (e.g. a URL or threshold) so it can be changed without editing nodes.
  • Staging vs production β€” a test copy versus the live system. Test in staging (your own accounts) first.
  • Latency β€” how long a step takes. AI steps typically take 2–20 seconds.
  • CRM β€” the system where a business keeps its contacts and deals (HubSpot, Pipedrive, GoHighLevel, or just a Google Sheet).
  • Sticky note β€” a coloured note on the n8n canvas used for instructions. Every kit workflow has one.

Data protection terms

  • Personal data / PII β€” anything that identifies a person: name, email, phone, address, IP.
  • GDPR β€” the EU regulation on personal data. Principles: lawful basis, minimisation, purpose limitation, security, retention limits, individual rights.
  • CCPA/CPRA β€” California's consumer privacy laws, similar principles.
  • Data processor vs controller β€” the client decides why and how data is used (controller); you process it on their behalf (processor). A written agreement (DPA) usually governs this.
  • Data retention β€” how long data is kept before deletion. Automations should not keep more than needed.
  • Least privilege β€” every credential gets only the permissions it needs, nothing more.
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