Hi @Kelyan_Konan, completely understand the post is closed, so treat this as a note for later rather than an application.
You mentioned the first paid project is likely one to two months out while you build the client pipeline. That waiting window is usually treated as dead time, but it is actually the best moment to build the thing that makes the whole bench faster later. Right now every contractor will approach your builds from a blank canvas, which is slow and exactly where margins leak on a fixed fee model. If instead you spend the gap defining a reusable foundation, the standard error routing, the fallback and retry patterns, a library of pre built scenario blocks for your common client cases, then when demand lands your builders are assembling from parts instead of starting over. Same quality, far less time per build, better margin on every one.
Building that foundation during the quiet stretch is the highest leverage thing you can do before the pipeline fills. I will be upfront that I am affiliated with Pond AI. Pond AI builds, runs and maintains custom AI agents, and setting up a reusable build foundation like this is the kind of groundwork we handle. If useful, I can map the whole framework out for your target client types for free, and that map is yours to keep no matter what. Should you want Pond AI to build the foundation itself, every custom project carries a 7 day refund cover.
While you are in the pipeline building phase, would it be worth putting that quiet window toward a reusable build framework, or are you planning to stand that up internally once the work starts?
@Kelyan_Konan, One challenge with scaling a contractor bench is maintaining consistency across builds. Even experienced Make developers can structure scenarios differently, which makes future maintenance and client handovers harder.
I’d introduce a shared delivery standard: reusable scenario templates, consistent module naming, documented inputs and outputs, and a simple handover checklist. One additional idea is to maintain a test dataset for each client workflow, so changes can be checked against expected results before going live.
At Pond AI, we help businesses build and maintain custom AI workflows, with architecture planned around their operations. We offer a free architecture blueprint you can keep and use with any builder, plus a 7-day refund on custom builds.
Requiring error handling, fallbacks and retries on every build is the right bar, since most Make scenarios fail silently the first time a webhook payload changes.
One thing worth adding to your spec: a shared error route that logs failed bundles to a data store and pings Slack, so every contractor’s builds fail the same visible way and can be rerun.
We build Make and n8n systems with that pattern as the default and can send the Loom you asked for.
What makes up most of the volume: lead routing, CRM syncs, or AI steps?
Hi Kelyan, I’m interested in working with you on this.
I build Make.com automations involving multi-step workflows, API integrations, conditional routing and error handling. I’m comfortable working with existing systems as well as building new scenarios, with proper attention to retries, fallbacks and failure handling.
I’ll send you a DM with my portfolio and more details. I’ll also prepare a short Loom walkthrough of one of my previous builds.
Hi @Kelyan_Konan, I’m interested in a first, clearly scoped automation build. I’m based in Lisbon and work remotely. My relevant background includes API/system integrations and n8n/LLM workflows; I also personally built ContentOps, an AI-assisted content preparation and publishing system.
Your $300–900 fixed-fee range is a reasonable basis for discussing one defined workflow, with its scope and acceptance criteria agreed before starting. I would include failure handling, bounded retries, duplicate protection where writes are involved, and a short handover. Ongoing support would be scoped separately.
I saw your matching n8n post too, so this is one enquiry across both channels. I don’t currently have the requested two-minute editor walkthrough ready, and I’m not presenting my general portfolio as a substitute. Would you consider an initial fit discussion while we agree on a suitable sanitised n8n example for that screening step? What systems and outcome would the first build involve?
Hi Kelyan, saw your post for n8n/Make contractors. I build automations with error handling built in: every workflow gets an error branch, retries with backoff, dedupe, and an alert when something fails, so nothing breaks silently. I’ll send a 2-minute Loom within 48h walking through a lead-intake build in the editor, showing how it handles a failed API call and how I name modules. Happy to take the first build at $350 fixed so you can test the fit. What’s the first workflow you need?
I saw your post about looking for Make.com and n8n contractors for ongoing projects.
I’m Jake, a CRM Developer and AI Automation Specialist based in the Philippines.
I work with n8n, Make, Zapier, API integrations, and webhooks. I’ve also developed a custom CRM system for a cleaning business, covering customer management, bookings, and communication workflows.
I’m interested in collaborating on fixed-fee automation projects. I understand the importance of reliable workflows, including error handling, fallbacks, and retries.
I’d be happy to share a 2-minute Loom demonstrating a workflow I’ve built.
Hi Kelyan, VSN builds Make and n8n automations with error routes, fallbacks and retries in every scenario, not just the happy path. Demos of our builds: https://vsn.hr/automation/. Reply and we’ll send the Loom walkthrough of one.
Hi, I’m interested in your Make.com contractor opportunity.
I built ConeXión, a church outreach and follow-up system connecting Tally, Make, Airtable, and Gmail. My work includes form capture, church-specific routing, contact records, email notifications, and troubleshooting.
I’m preparing the two-minute Loom you requested to show the scenario, module naming, and a failure I investigated. Are you still accepting contractors? I’d be interested in discussing a smaller initial project.
Hi @Kelyan_Konan, one qualification question before I apply: would you consider a clearly labelled, self-directed Make demonstration presented as a screen recording with captions, without a webcam or spoken presentation?
My current portfolio is AI-assisted Python data validation and workflow testing, not previous paid Make implementations. I would only propose a bounded, fixed-fee build with written, asynchronous communication and agreed acceptance checks, without live calls or scheduled daytime availability.
If an existing client Make build and a spoken Loom are mandatory, I understand and will not present my current work as meeting those requirements. Thank you.