n8n is a workflow automation platform that uniquely combines AI capabilities with business process automation, giving technical teams the flexibility
Users generally appreciate n8n AI for its robust automation capabilities, often being used to efficiently streamline workflows across various platforms. However, some find the initial learning curve steep, especially for beginners without much technical background. Sentiment around pricing isn't explicitly detailed, though discussions on cost suggest some users consider affordability when choosing between different automation tools. Overall, n8n AI has a good reputation for flexibility and open-source nature, making it a preferred choice for those willing to invest time in setting it up.
Mentions (30d)
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0
Platforms
2
GitHub Stars
181,849
56,342 forks
Users generally appreciate n8n AI for its robust automation capabilities, often being used to efficiently streamline workflows across various platforms. However, some find the initial learning curve steep, especially for beginners without much technical background. Sentiment around pricing isn't explicitly detailed, though discussions on cost suggest some users consider affordability when choosing between different automation tools. Overall, n8n AI has a good reputation for flexibility and open-source nature, making it a preferred choice for those willing to invest time in setting it up.
Features
Use Cases
Industry
information technology & services
Employees
880
Funding Stage
Series C
Total Funding
$254.0M
12,819
GitHub followers
38
GitHub repos
181,849
GitHub stars
20
npm packages
5
HuggingFace models
[Virtual] AI Saturdays - Workflow Automation with AI (23rd May, 6 PM ET)
Hosting this Saturday's AI Saturdays session on workflow automation with AI. The idea: most jobs have recurring tasks that look the same every week. Read the email, pull out the key info, log it somewhere, send a follow-up. Tools like n8n and Make let you chain AI into those flows so the work runs on its own. We'll look at how the pieces fit together with AI. Link: https://www.meetup.com/chillnskill/events/314617067/ submitted by /u/Competitive_Risk_977 [link] [comments]
View originalBest way to use Claude daily — Web app vs Claude Code (VS Code) vs API? What's your setup?
I've been using Claude through the web app but I'm wondering if I'm leaving value on the table. I've heard people talk about: Claude.ai (web app) — the default Claude Code — the CLI/VS Code integration Direct API — full control, build your own setup What's the real difference in your day-to-day use? Is Claude Code worth switching to if you're not a developer? What can you do with one that you can't do with the others? Currently using Claude mainly for workflow automation (n8n), writing, and research. submitted by /u/Gullible_Wrangler_53 [link] [comments]
View originalNeed to connect Docsend to Claude
Been able to automate a good chunk of my work with claude, N8N etc but there have been a couple that I have just not been able to crack. So my background isnt technical so been able to do these things so far by watching videos or simply asking an ai tool. Currently, I am stuck on trying to integrate docsend into claude so it runs a simple flow: I was thinking sending / uploading a pdf into a form, it uploads it to docsend and sends me by slack, mail etc a viewable link so I can share. Would appreciate any feedback on how as I am stuck (couldnt get docsend's API and MCP) Thank you in advance submitted by /u/Electrical_Editor880 [link] [comments]
View originalClaude code on E-commerce Brand
Recently, I built a swarm of AI agents to replace our customer service representatives and I hosted it on n8n. I also built an automation to give us a daily report. All these was built from Claude, I wonder what else can I build to help push our company forward? Any tips or recommendations? submitted by /u/Direct-Football7180 [link] [comments]
View originalWe’re hosting the biggest Claude Code Prompt-a-thon at the AI x Marketing Summit in SF.
We’re hosting the biggest Claude Code Prompt-a-thon at the AI x Marketing Summit in SF on May 28–29. For 36 hours, you’ll actually build with AI: • Claude Code • Humanic • n8n • MCPs • Figma Make • AI workflows for SEO, ads, lifecycle, outbound, content, and growth You’ll work alongside marketers and operators building real-world AI systems — not just talking about them. The summit includes hands-on workshops, promptathons, networking with AI-native marketers, and sessions from founders, CMOs, and operators shaping the future of marketing. Bring your team to SF. Compete, build, and walk away with top-tier tech. The full agenda is now live — grab your ticket now. Learn more: https://aixmarketingsummit.com/ submitted by /u/Brilliant_Sector_427 [link] [comments]
View originalBuilt a Claude Code plugin for GDPR/DSGVO audits because attorney reviews were eating my budget
Quick Background: Developing a B2B SaaS for German businesses (KSKlar, a tax compliance product). Pre-launch, each cookie banner question, each DPA, each privacy policy draft went to the attorney. Each iteration took 300-500 EUR and 2-3 weeks. Most of those iterations didn't involve any difficult legal questions. They were about making sure basic things were done - no Google Fonts requests before consent, no § 5 TMG (it got changed to § 5 DDG in 2024, neat little trick), documented AVV with Mistral, etc. So I built it into a Claude Code plugin. It scans a codebase, flags issues, provides clear replacements, cross-checks citations from eur-lex or gesetze-im-internet. Then I give it to the attorney instead of sending a GitHub repository link. Saves her about 70% of time, saves me even more money. Six weeks trimming everything down to what was generalizable, another two weeks scrubbing it for open-sourcing. Released it to GitHub this morning. Tech Stack: Slash commands for auditing codebase, live URL, single document (privacy policy draft, DPA, etc.), looking up KB, etc. Three custom agents on Opus 4.7 1M model (wrong case number outputs with smaller models is an actual issue) 63 KB files with primary source links (eur-lex, rechtsprechung-im-internet, curia, BfDI, EDPB, state DPAs) Context loading through hooks (so KB doesn't clutter your session, ~1k token overhead initially, loads dynamically through regex triggers) Scope is limited to Germany/EU - GDPR/DSGVO, BDSG, TDDDG, UWG, AI Act, UrhG, the whole thing. Nothing for US/UK/CH since the paragraph references and case laws are different. Trying to build multiple jurisdiction support into one plugin ends up being poor for all of them. Limitations I want to be clear about: This isn't legal advice. Disclaimer at the start of each output. Still need a real attorney for production, just not as much of them. Plugin reduces cost of attorney work. KB will always be as updated as I can manage (verified May 08, 2026, in 63 files). Legal climate changes - the KB can be refreshed using the /legal-audit-de-update command. Refreshes automatically from primary sources every 90 days. Content in German remains in German (paragraph wording is legally binding in the original language, translating would make it less useful for actual attorneys). Wiki provides parallel English documentation for German-based development teams working in English. Installation: /plugin marketplace add FutureRootsDE/legal-audit-de /plugin install legal-audit-de@futureroots-legal MIT License. Repository: github.com/FutureRootsDE/legal-audit-de For those developing products that touch EU users and don't have their own legal team, I'd love to know what else they should consider. Particularly interested in mobile apps and API-only services. Have checklists for SaaS, landing pages, e-commerce, n8n, content, but those two have gaps. submitted by /u/PrudentStop5612 [link] [comments]
View originalToday I learned about this
submitted by /u/YogurtWild [link] [comments]
View originalHow do I get more out of AI for data analysis / supply chain work?
Hey everyone! I’ve been using AI since 2023, starting with ChatGPT, and since January this year I added Claude to my workflow. I can tell there are real differences between the two, but I feel like I’m not getting the most out of either. A few things I’m trying to figure out: • Is it worth investing time in learning prompt engineering more systematically, or does hands-on practice get you there anyway? • How do you manage context and conversations? Do you use Projects, Notion, some custom system? • Is there a workflow that genuinely changed how you work with AI? (automations, integrations, MCPs, etc.) For Claude users: are you actually getting value out of Projects and persistent context? - AI agents: are any of you actually using them in real workflows? Tools like n8n, Make, or custom agent setups. Worth the learning curve, or still too early/unstable for practical use? I work in data analytics / supply chain. At my company we use Copilot Pro, but the biggest limitation I run into is not being able to connect it directly to systems like SAP — so I end up doing a lot of manual copy-paste just to give the model enough context to be useful. Has anyone solved something similar? Or do you just work around corporate tools entirely and use external models for everything? Thanks in advance 🙌 submitted by /u/sxn8d9997 [link] [comments]
View originalHelp me creating a workflow to automate Web+Excel+AI
I have a commerce background. I am a beginner (Please guide me like a begginer i can't understand heavy tech language), and I don't have experience with Agentic AI, Automation, or coding. So, I want to know how I can automate Web+Excel+AI and what skills I need to do so, like coding or n8n. This is how my workflow looks: Automate the extraction of PDF from the Web, and convert the data given in the file to Excel Creating an AI which act as a brain for automation and does what I want to make them do, like sum, putting different-different formula and functions in each cell as per the requirement. This is the basic workflow. So, tell me how I can do this and what skills I need to learn (VBA, Python, Power Query) And which Automation tool should I use to do the above, like MS Power Automate? Give me a Roadmap of where I should begin my tech skills. This will be a plus if you can provide Video links to the playlist. Thank you for helping in advance! submitted by /u/Stunning_Capital_354 [link] [comments]
View originalTips and Advice on best ways to learn how to use AI
Hi everyone! I have been interested in really doing a deep dive and learning about AI. I’m specifically interested in workflows and automations and want to incorporate it into my daily life and work. Currently, I have been using Claude and recently started learning about Cowork. I also want to eventually use N8N for automations, but I'm not sure if it overlaps with Cowork abilities and if it would be redundant to learn. Since there is such an overwhelming amount of resources and information out there about AI, I worked with ChatGPT and Claude to create a 6-month deep learning program based on my goals. I finished month 1, which focused on learning AI foundations, effective AI prompts, and creating a Notion library to keep all my AI information and progress (I eventually want to link Claude to my Notion). This month (month 2), I’m working on creating workflows and learning how to use Cowork. I’ll include a picture of my Month 1 and 2 schedules. https://preview.redd.it/hpqweo6swfwg1.png?width=1862&format=png&auto=webp&s=462aa9b57ee8f3c398f709013951a4905add02c8 https://preview.redd.it/o1zryk5twfwg1.png?width=1128&format=png&auto=webp&s=f502aeb3fcb1cde9f6ab2b9364f4b38d4b2347b6 Here is what Claude and ChatGPT planned for the remaining months: Month 3 - N8N Automations Month 4 - Learning basic python Month 5 - Putting AI + Python together Month 6 - Building systems using AI + Notion + automation + Python I was wondering for those of you who are further in your AI journey, what your thoughts are on this current learning program, if I should remove anything or add/focus on something else. I want to ensure I learn in the most efficient and effective way possible to really make the most out of AI. I would appreciate any thoughts, tips and advice. Thanks! If you were starting over today and wanted to become actually good with AI tools, what would you do? submitted by /u/Dry-Wave-2882 [link] [comments]
View originalDograh now has an MCP Server that can talk to your Voice Agents
Hi All, We just released the MCP Server to Dograh. Control Dograh from Claude or any MCP-compatible AI assistant. Just a quick recap: Dograh is a self-hostable, open-source voice AI agent platform (an alternative to proprietary Vapi/Retell) that lets you build and test voice bots over telephony and WebRTC with drag-and-drop workflows (Think of n8n for Voice Agents) Github: https://github.com/dograh-hq/dograh You can now build and manage voice agents directly from your chat - no need to open the Dograh dashboard at all. The fun part is connecting multiple MCPs, for example: Ask your AI assistant to list, fetch, or search your Dograh agents without opening the dashboard Search Dograh docs and retrieve agent definitions directly from Claude Code, Claude Desktop, or Cursor Connect any MCP-compatible client using the same endpoint and API key I will use it now. It is 100% open source. submitted by /u/Slight_Republic_4242 [link] [comments]
View originalMoving workflows out of CoWork
We have built a couple workflows that we are happy with the results. We understood limitations going in and did not expect this to work as well as it is working. We want to move 1 workflow out of CoWork. It already is connected to n8n (self hosted), Supabase, internal use web app, and have external use pages all developed and tested just not live. Any recommendations for taking this out of CoWork so it can be live 24/7? About 12 months ago we trained an OpenAI model (ehhh, results) and understand that process. Is there a process that can take what we have and move to Anthropic or other LLM? submitted by /u/TruckingMBA [link] [comments]
View originalGuidance needed an emergency
hey I am currently doing an mini project on ai agent that conducts exams evaluates answers and gives results on behalf of faculty I have completed front end only and I have completed some of n8n workflow using you tube and remaining part I haven't completed yet using claude and chatgpt explaining my project and I am asking it to build the workflows in a single prompt if I am wrong can some one explain the correct method of using claude with n8n and I have a very limited time to complete my project ivhave nearly 5 days of time please some one help me regarfing that submitted by /u/harshith_1729 [link] [comments]
View originalI got tired of setting up automations on zapier and n8n. So Claudes Agent SDK to do it for me.
I used the Anthropic Agent SDK and honestly, Opus 4.5 is insanely good at tool calling. Like, really good. I spent a lot of time reading their "Building Effective Agents" blog post and one line really stuck with me: "the most successful implementations weren't using complex frameworks or specialized libraries. Instead, they were building with simple, composable patterns." So I wondered if i could apply this same logic to automations like Zapier and n8n? So I started thinking... I just wanted to connect my apps without watching a 30-minute tutorial. What if an AI agent just did this part for me? The agent takes plain English. Something like "When I get a new lead, ping me on Slack and add them to a spreadsheet." Then it breaks that down into trigger → actions, connects to your apps, and builds the workflow. Simple. It's not just prompting sonnet and hoping for the best. It actually runs each node, checks the output, fixes what breaks. By the time I see the workflow, it already works. Been using it for 2 months. It finally made this stuff make sense to me. Called it Summertime. Thinking about opening it up if anyone is interested in it. If you're building agents or just curious about practical use cases, happy to chat Try it yourself no cost: trysummertime.com submitted by /u/Sleek65 [link] [comments]
View originalBest workflow for AI Agent-driven Content Refresh? (n8n + Claude/Haiku vs. Others)
Hey everyone, I’m looking to build an automated workflow to "refresh" my existing blog posts and I’m curious how you all would architect this. My goal is to take an existing article from my WordPress site and have an AI agent perform a deep SEO and quality audit before rewriting it. Specifically, I want the agent to: Extract & Analyze: Identify long-tail keywords, keyword density, and content gaps in my original post. Competitor Research: Compare my content against top-ranking competitors for the same topic. Optimization: Calculate the average keyword density from the top results and identify "missing" high-interest subtopics. Rewrite: Generate a final version that improves the original quality, hits the target SEO metrics, and fills the identified gaps. Publish: Auto-update or post the final version directly back to WordPress. My questions for the experts here: Are you guys building this kind of multi-step logic using n8n with agents? Which LLMs are you finding most reliable for this? I’m considering Claude 3.5 Sonnet for the heavy lifting or Haiku for the extraction phases to save on tokens. Is there a better way to handle the "competitor comparison" step within the workflow? Would love to hear about your stacks or any specific nodes/tools you're using to keep the content sounding human while hitting those SEO benchmarks. Thanks! submitted by /u/JosetxoXbox [link] [comments]
View originalRepository Audit Available
Deep analysis of n8n-io/n8n — architecture, costs, security, dependencies & more
n8n AI uses a subscription + tiered pricing model. Visit their website for current pricing details.
Key features include: Visual workflow builder, Code execution capabilities, Trigger-based automation, Customizable nodes, Built-in version control, Error handling and retries, Webhook support, Data transformation tools.
n8n AI is commonly used for: Automating data entry tasks, Integrating APIs without coding, Creating automated reports from various data sources, Scheduling recurring tasks, Connecting different SaaS applications seamlessly, Building complex workflows for data processing.
n8n AI integrates with: Slack, Google Sheets, Trello, GitHub, Mailchimp, Salesforce, Zapier, Airtable, Notion, AWS S3.
n8n AI has a public GitHub repository with 181,849 stars.

n8n Livestream: AI Product Updates, Firecrawl & the latest Community Challenge
Mar 26, 2026
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