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4 contributions to AI Architects
I map the process on paper before I open the tool
I used to open the tool first. Connect a few nodes, figure out the flow as I go. Now I do the opposite. 15 minutes with pen and paper. Every step, every branch, every spot where a human makes a call. Sounds slow. It isn't. Last flow I built this way shipped in one afternoon. The one before that, built tool-first, took two extra days because I hit an edge case I should have caught on paper. Paper is the cheapest debugger you'll ever own.
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One n8n flow took a weekly report from 4 hours to 12 minutes
I build automations for small businesses. One client spent 4 hours every Monday pulling numbers from 3 dashboards into one report. We moved it to one n8n flow. It runs every Monday at 7am, pulls the same 3 sources, writes the report to a sheet, and emails it. First version took me a weekend. The trick that made it stable: make it fail loud. If a source is down, the flow sends an email that says 'this step broke' instead of sending a half-empty report. Silence was the old problem, not speed. Now it's 12 minutes of checking instead of 4 hours of copy-paste. One weekend to build, about an hour a month to maintain.
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Video on how to build an AI Marketing System such as this one
https://restructure-europe.vercel.app/en/newsletter/marketing-team/ there's a one minute video on this page describing the system but it doesn't tell us how to build it. So I'm wondering if that's something that you could do a video on.
0 likes • 3d
That system is really a few small pieces glued together: content comes in, gets repurposed, gets scheduled, and follow-up emails go out. Nobody builds it in one shot. Pick one piece, like turning one article into a week of posts, get it running, then add the next. You'll learn more from one working piece than from any long video.
Automate technical web app quality control
Hi all, I'm new here and I would love to hear from experienced web app developers who may have developed a technical web application, for example, to perform or automate data analysis or create or design things based on certain known mathematical or physical constraints. My goal for a technical web app I am developing is to somehow use an agent (or subagents) to perform checks of the underlying behavior or calculations the vibe-coded (Claude) code is performing. As the functionality of my web app increases, I am consistently challenged with the ability to perform quality checks on the new outputs.
1 like • 4d
I build a rent-audit app, so wrong math means wrong money. What caught most of my bugs wasn't a second AI, it was known answers. I keep a few sample cases where I worked the result out by hand once. Every time the code changes, the app re-runs those and compares. If a number drifts, I know before a user does. An agent can run that list for you, but even without one it catches most bugs.
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Kartike Singh
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@kartike-singh-2211
Tech & softwares for business impact

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Joined Nov 8, 2026
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