I automated 80% of my email replies with a free n8n workflow — full JSON inside
Alex Kane automated 80% of his email replies using a free n8n workflow. The workflow efficiently handles common email inquiries by detecting keywords and sending appropriate template responses. This automation has saved him significant time and improved his email management.
- ▪The n8n workflow automates replies to four types of emails: pricing questions, support requests, meeting requests, and general inquiries.
- ▪It includes a Gmail trigger that polls for new unread emails and uses intent detection to determine the appropriate response.
- ▪Kane emphasizes the importance of filtering no-reply emails to avoid infinite reply loops and suggests logging responses for review.
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/flowkithq/i-automated-80-of-my-email-replies-with-a-free-n8n-workflow-full-json-inside-f9g |
| Publication time | Fri, 22 May 2026 06:19:52 +0000 |
| Retrieval time | 2026-05-22T06:32:00.835Z |
| Last seen | 2026-05-22T06:32:00.835Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | X7AK2QuV4xgV |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3945380) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Alex Kane Posted on May 22 I automated 80% of my email replies with a free n8n workflow — full JSON inside #nocode I was spending 2+ hours a day responding to the same 4 types of emails: pricing questions, support requests, meeting requests, and general inquiries. The replies were nearly identical every time. So I built a simple n8n workflow to handle them automatically — and I've been running it for months with zero issues.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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