Hi Sam,
Thanks for getting in touch.
" } ``` Gmail sends `output.subject` and `output.reply`, and an If node checks `output.score` against 8. The [lead scoring](https://learn.ynteractive.com/content/glossary/lead-scoring) entry explains the idea. ## Example 2: read a vendor invoice In the [invoice approval lesson](https://learn.ynteractive.com/content/invoice-inbox-to-google-sheets-approval-n8n), Extract from File turns the PDF into text, and the extractor's Text says: copy what is printed, don't calculate or guess, leave a field empty if it isn't on the invoice, dates as YYYY-MM-DD, total as a number with no $ sign. Then `{{ $json.text }}`. ```text { "vendor": "Acme Supply", "invoice_number": "A-1001", "invoice_date": "2026-01-15", "due_date": "2026-02-14", "total": 250.75 } ``` The number type for `total` matters: the If node compares it with 1000 as a number. ## Example 3: screen a resume fairly In the [resume screener lesson](https://learn.ynteractive.com/content/ai-resume-screener-n8n-fairness), Text holds the job's four must-haves and `{{ $json.text }}` from the PDF. The example answer: ```text { "score": 7, "evidence": "1. 'Staff Accountant, 2021 to 2024' 2. 'Reconciled 6 bank accounts each month' 3. Not shown 4. 'Built pivot tables for the controller'", "recommendation": "Interview" } ``` Under **Options > System Prompt Template** go the standing fairness rules: score only the must-haves, ignore name, age, address, graduation years and family details, quote evidence or write "Not shown", and never reject anyone. A person decides. ## Try it free, step by step **Speed-to-Lead Agent: Answer Every Web Lead in 60 Seconds**. Build an n8n workflow that scores every website lead with AI, emails a personal first reply within seconds, and pings Slack only when a lead is hot. You do every step yourself in a practice copy of n8n, it checks your work as you go, and “Do it for me” finishes any step you get stuck on. Free, and nothing touches your real accounts. [Start the free lesson](https://learn.ynteractive.com/modules/speed-to-lead-agent) [Or read the full step-by-step guide](https://learn.ynteractive.com/content/speed-to-lead-agent-n8n) ## Information Extractor or OpenAI with JSON? Use the Information Extractor for one record in, a fixed set of fields out. Use OpenAI **Message a model** with **Output Format: JSON Object** when you want a variable-length list, such as every task in a meeting. [n8n OpenAI JSON Output](https://learn.ynteractive.com/content/blog/n8n-openai-json-output) covers that. ## Tips for reliable fields - Give every field a clear rule in Text, including what to do when it's missing. - Make the example realistic; the model copies its style. - Ask for numbers without symbols if you'll compare them. - Ask for "quote the exact words" when evidence matters, so you can check it. ## Key takeaways - Text holds the instructions and the source data; the JSON example sets the shape. - Generate From JSON Example is the easiest schema type for office work. - The output lives under output, like output.score or output.total. - Put standing rules, such as fairness rules, in the System Prompt Template option. ## Frequently asked questions **What is the Information Extractor node in n8n?** It is an AI node that asks a chat model to pull specific fields out of text and returns them as structured data in the shape you define. **Why is the Information Extractor red?** It still needs a model. Click the + under Model and add a chat model such as OpenAI Chat Model. **How do I use the extracted fields?** Map them with expressions like {{ $json.output.vendor }}, or {{ $('Information Extractor').item.json.output.total }} from a later node. **Which courses use it?** [AI for Sales Teams](https://learn.ynteractive.com/courses/ai-for-sales), [AI for Finance Teams](https://learn.ynteractive.com/courses/ai-for-finance) and [AI for Recruiting & HR](https://learn.ynteractive.com/courses/ai-for-recruiting-and-hr). ## Free lessons in this post - [Speed-to-Lead Agent: Answer Every Web Lead in 60 Seconds](https://learn.ynteractive.com/content/speed-to-lead-agent-n8n): Build an n8n workflow that scores every website lead with AI, emails a personal first reply within seconds, and pings Slack only when a lead is hot. - [Invoices from Your Inbox to Google Sheets, with Approval](https://learn.ynteractive.com/content/invoice-inbox-to-google-sheets-approval-n8n): Build an n8n workflow that reads each vendor invoice PDF from Gmail with AI, logs the vendor, invoice number and total in Google Sheets, and emails the owner an Approve… - [An AI Resume Screener, with a Fairness Step (Recruiting & HR)](https://learn.ynteractive.com/content/ai-resume-screener-n8n-fairness): Have n8n read each applicant’s PDF resume, score it against the job’s must-haves with the evidence quoted, and rank it in Google Sheets, while a person makes every… ## Watch it in a free lesson: Speed-to-Lead Agent: Answer Every Web Lead in 60 Seconds ### Speed-to-Lead Agent: Answer Every Web Lead in 60 Seconds: video walkthrough Full walkthrough · 3:28 · with captions Build an n8n workflow that scores every website lead with AI, emails a personal first reply within seconds, and pings Slack only when a lead is hot. The whole lesson narrated step by step, recorded in Stepthrough’s simulated practice environment. [Watch it with chapters and the full transcript](https://learn.ynteractive.com/content/speed-to-lead-agent-n8n#watch) From the free lesson [Speed-to-Lead Agent: Answer Every Web Lead in 60 Seconds](https://learn.ynteractive.com/content/speed-to-lead-agent-n8n) ## Related terms Plain-English definitions, each with an example from a free lesson. [Information Extractor (n8n)](https://learn.ynteractive.com/content/glossary/information-extractor-node) · [Chat model](https://learn.ynteractive.com/content/glossary/chat-model) · [Invoice](https://learn.ynteractive.com/content/glossary/invoice) · [AI data entry](https://learn.ynteractive.com/content/glossary/ai-data-entry) · [AP aging report](https://learn.ynteractive.com/content/glossary/ap-aging-report) · [Apollo.io](https://learn.ynteractive.com/content/glossary/apollo-io) · [Applicant tracking system](https://learn.ynteractive.com/content/glossary/applicant-tracking-system) · [Approval threshold](https://learn.ynteractive.com/content/glossary/approval-threshold) [The full AI glossary](https://learn.ynteractive.com/content/glossary) ## Related prompts - [Invoice approval request email prompt](https://learn.ynteractive.com/content/prompts/invoice-approval-request-email-prompt): A copy-ready prompt that writes a clear approval request for a large invoice, so the owner can say yes or no in one reply with… [All free prompt templates](https://learn.ynteractive.com/content/prompts) ## Keep reading - [n8n OpenAI JSON Output: Get Data Back, Not a Paragraph](https://learn.ynteractive.com/content/blog/n8n-openai-json-output): Make the n8n OpenAI node return usable JSON: the exact shape in the prompt, Output Format set to JSON Object, the output path and when to use Extractor. - [n8n Gmail Node Examples: Send, Draft, Wait for Approval](https://learn.ynteractive.com/content/blog/n8n-gmail-node-examples): Five n8n Gmail node setups from real workflows: send a message, create a draft, send and wait for approval, email type and the n8n footer. - [n8n $('Node').item.json: Use Data from an Earlier Node](https://learn.ynteractive.com/content/blog/n8n-reference-previous-node): How $('Node name').item.json reaches back to an earlier node in n8n, when $json isn't enough, and examples from Gmail, If and Slack steps. 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