# n8n Showing Feedback Agent: 9 Mistakes to Avoid > Mistakes that hurt an n8n showing feedback agent for listing agents, from price advice and buyers' names to mismatched columns and missing memory. Source: https://learn.ynteractive.com/content/blog/n8n-showing-feedback-agent-mistakes · Updated 2026-10-21 · Free from Stepthrough (https://learn.ynteractive.com) Quick answer The biggest mistake with an n8n showing feedback agent is letting it speak about price. One buyer's agent saying a home is "about $15,000 high" is an opinion, not a market verdict, and an [AI summary](https://learn.ynteractive.com/content/glossary/ai-summarization) that turns it into "consider a price reduction" puts words in your mouth in front of the seller. The agent in the free [n8n showing feedback lesson](https://learn.ynteractive.com/modules/real-estate-showing-feedback-agent) is built to avoid that: it records only what was said, quotes price comments in the agent's own words and never recommends a price change. The other mistakes are about privacy, vague feedback and wiring. Last updated October 21, 2026 [Take the free module →](https://learn.ynteractive.com/courses/ai-for-real-estate/11)Module 11 of the free [AI for Real Estate](https://learn.ynteractive.com/courses/ai-for-real-estate) course, about 12 minutes. No account needed. By [Robert Breen](https://learn.ynteractive.com/content/about) · Published October 21, 2026 · Updated October 21, 2026 · 5 min read n8n · Real Estate · AI agents · Google Sheets · Troubleshooting The example is made up. Meridian Realty Group is a made-up brokerage, and 14 Orchard Lane and every agent and comment are made up too. The agent turns a week of feedback into one row per showing in a Google Sheet: date, buyer's agent, interest, price feedback and follow-up. ## What are the most common showing feedback agent mistakes? | # | Mistake | Fix | | --- | --- | --- | | 1 | Letting the agent recommend a price change | Keep "do not recommend a price change" | | 2 | Rewording price comments | Quote them, or "None given" | | 3 | Letting it guess offers | Keep "do not guess what a buyer will offer" | | 4 | Pasting buyers' names and numbers | Paste the agent and brokerage only | | 5 | Forcing vague feedback into a level | Let it use **Unclear** and say why | | 6 | [Column headers](https://learn.ynteractive.com/content/glossary/header-row) that don't match the [prompt](https://learn.ynteractive.com/content/glossary/prompt) | **Date**, **Buyer's agent**, **Interest**, **Price feedback**, **Follow-up** | | 7 | Leaving the Sheets node on reading rows | Pick **Append Row** under **Operation** | | 8 | Skipping memory | Add **Simple Memory** so "save those" works | | 9 | Sharing the sheet unread | Read every row before the seller sees it | ## Which mistakes can cost the seller's trust? **1. Letting the agent recommend a price change.** The system prompt says not to recommend a price change, because the listing agent and the seller decide that. When you adapt the prompt for your brokerage, keep that line. An agent that offers pricing advice in a sheet the seller reads is speaking for you. **2. Rewording price comments.** The prompt asks for price feedback in the buyer's agent's words, or "None given". So Dana Ruiz's comment goes into the log as "About $15,000 high." in quotes. Paraphrased, it can grow into "overpriced" and read like a consensus. **3. Letting it guess offers.** The prompt says not to guess what a buyer will offer. Marcus Hill's buyers plan to write an offer this week, so the row says that, with **High** interest and "send the roof age today" as the follow-up. It doesn't predict a number. ## What should stay out of the log? **4. Pasting buyers' names and numbers.** The prompt says never to include buyers' names, phone numbers or personal details. The **Buyer's agent** column holds the agent's name and brokerage only, and the lesson's finish screen says to keep buyers' names and personal details out of what you paste. Personal details are [PII](https://learn.ynteractive.com/content/glossary/pii); the fewer you paste, the fewer can leak. **5. Forcing vague feedback into a level.** The interest levels are **High**, **Some**, **None** and **Unclear**. The prompt says that if the feedback is vague or mixed, use Unclear and say why. Don't edit that out to make the sheet look tidier. An honest Unclear tells you who to call back. ## Try it free, step by step **Build an n8n AI Agent That Turns Showing Feedback into a Seller Update**. Build an AI agent in n8n for Meridian Realty Group that turns buyer agents’ showing feedback into one row per showing in Google Sheets, with interest, price feedback and the next step, so the weekly… 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/real-estate-showing-feedback-agent) [Or read the full step-by-step guide](https://learn.ynteractive.com/content/n8n-ai-agent-real-estate-showing-feedback) ## Why doesn't the log fill in? **6. Column headers that don't match.** Type five headers in row 1: **Date** in A1, **Buyer's agent** in B1, **Interest** in C1, **Price feedback** in D1 and **Follow-up** in E1. They match exactly what the system prompt returns. Then in the Sheets tool, under **Values to Send**, click the **✦** button next to each column so the model fills it in. **7. Leaving the node on reading rows.** n8n adds the Sheets tool as **Get row(s) in sheet in Google Sheets**, which reads rows by default. Open **Operation** and pick **Append Row**. In **Document**, pick **Showing Feedback Log**, not **Listing Marketing Calendar** next to it, then **Sheet1** in **Sheet**. The [n8n Google Sheets errors](https://learn.ynteractive.com/content/blog/n8n-google-sheets-errors) post covers sign-in and permission problems. **8. Skipping memory.** Without memory, every message starts from nothing, and "save those" points at nothing. Add **Simple Memory** under **Memory**; the defaults keep the last 5 messages. Also check the key: a new OpenAI key with a zero balance just returns errors. Click **Add to credit balance** under **Billing** first, or pick **Gateway credits** in your own n8n to use its free credits. Copy the key when you make it; OpenAI shows it only once, so treat it like a password. See [API key](https://learn.ynteractive.com/content/glossary/api-key). ## What has to happen before the seller update? **9. Sharing the sheet unread.** The audience in the prompt is the listing agent, who reads every entry before sharing anything with the seller. The lesson's finish screen says the same: read every row before you share the sheet. Follow your brokerage's rules on what you share with sellers. That review is [human in the loop](https://learn.ynteractive.com/content/glossary/human-in-the-loop), and it is what keeps the update one your clients trust. ## Key takeaways - The agent never recommends a price change or guesses an offer. Keep those rules. - Quote price comments in the buyer's agent's words. - Log the agent and brokerage, never the buyers' names or numbers. - Let vague feedback be **Unclear**, with the reason. - Match the headers, use **Append Row**, add **Simple Memory**, and read every row. Read the [n8n showing feedback agent FAQ](https://learn.ynteractive.com/content/blog/n8n-showing-feedback-agent-faq) for setup answers, or try the [buyer reply lesson](https://learn.ynteractive.com/content/chatgpt-reply-to-buyer-emails-real-estate-agent) in the same course. ## Frequently asked questions **What if all the price comments say the home is high?** The log still quotes each one. Whether to change the price is a conversation between you and your seller, not something the agent decides. **Why did one showing get "No follow-up needed"?** Priya Shah's buyers need four bedrooms, so the home isn't a fit. The agent logs **None** interest and no follow-up. **Can I use it for every listing?** Yes. Paste each listing's feedback separately and name the listing in your message, as the lesson does with 14 Orchard Lane. **Where can I learn more about the nodes?** The [n8n docs](https://docs.n8n.io/) cover the AI Agent, memory and Google Sheets nodes. ## Free lessons in this post - [Build an n8n AI Agent That Turns Showing Feedback into a Seller Update](https://learn.ynteractive.com/content/n8n-ai-agent-real-estate-showing-feedback): Build an AI agent in n8n for Meridian Realty Group that turns buyer agents’ showing feedback into one row per showing in Google Sheets, with interest, price feedback… ## Watch it in a free lesson: n8n AI Agent Tutorial: Save Social Media Ideas to Google Sheets ### AI Social Media Idea Agent: video walkthrough Full walkthrough · 8:07 · with captions Build an AI agent for BrightPath Marketing that generates social media post ideas and saves them to Google Sheets — chat trigger, AI Agent, system prompt, model, memory, and the Sheets tool. 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/n8n-ai-agent-tutorial-google-sheets#watch) From the free lesson [n8n AI Agent Tutorial: Save Social Media Ideas to Google Sheets](https://learn.ynteractive.com/content/n8n-ai-agent-tutorial-google-sheets) ## Related terms Plain-English definitions, each with an example from a free lesson. [AI summarization](https://learn.ynteractive.com/content/glossary/ai-summarization) · [Header row](https://learn.ynteractive.com/content/glossary/header-row) · [Prompt](https://learn.ynteractive.com/content/glossary/prompt) · [A/B testing](https://learn.ynteractive.com/content/glossary/ab-testing) · [AI agent](https://learn.ynteractive.com/content/glossary/ai-agent) · [API key](https://learn.ynteractive.com/content/glossary/api-key) · [Append row](https://learn.ynteractive.com/content/glossary/append-row) · [Buyer persona](https://learn.ynteractive.com/content/glossary/buyer-persona) [The full AI glossary](https://learn.ynteractive.com/content/glossary) ## Related prompts - [Case study interview questions prompt](https://learn.ynteractive.com/content/prompts/case-study-interview-questions-prompt): Plan a client interview that gets a case study's before, during and after story in their own words, with follow-up probes and… - [Email subject lines prompt](https://learn.ynteractive.com/content/prompts/email-subject-lines-prompt): Get ten honest subject lines for a finished email, each with preview text and a character count, grouped by approach so you can… - [SEO meta description prompt](https://learn.ynteractive.com/content/prompts/seo-meta-description-prompt): Write short search-result descriptions for your web pages: what the page offers, who it is for and one reason to click, inside… - [Social post ideas prompt](https://learn.ynteractive.com/content/prompts/social-post-ideas-prompt): A four-part ChatGPT prompt for social post ideas built on your services and real customer questions: platform, hook and call to… [All free prompt templates](https://learn.ynteractive.com/content/prompts) ## Keep reading - [n8n Showing Feedback Agent FAQ: Real Estate Setup](https://learn.ynteractive.com/content/blog/n8n-showing-feedback-agent-faq): Plain answers about an n8n AI agent that turns buyer agents' showing feedback into one row per showing in Google Sheets for the weekly seller update. - [n8n Law Firm Time Entry Agent: 9 Mistakes to Avoid](https://learn.ynteractive.com/content/blog/n8n-law-time-entry-agent-mistakes): Mistakes that spoil an n8n time entry agent for lawyers, from letting it round hours to unclear matters, pasted identifiers and the wrong Sheets setup. - [n8n Certificate Request Agent: 9 Mistakes to Avoid](https://learn.ynteractive.com/content/blog/n8n-certificate-request-agent-mistakes): Mistakes that turn an n8n certificate of insurance agent into a risk, from promising coverage to mismatched columns and the wrong Sheets operation. 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