# For Hire: Make scenarios built to survive failure — error handling, tested recovery, and you own everything

**URL:** <https://community.make.com/t/for-hire-make-scenarios-built-to-survive-failure-error-handling-tested-recovery-and-you-own-everything/113024>\
**Category:** Offer Help\
**Tags:** ai\
**Created:** [August 6, 2026, 8:10am UTC](https://community.make.com/t/for-hire-make-scenarios-built-to-survive-failure-error-handling-tested-recovery-and-you-own-everything/113024 "2026-08-06T08:10:22Z")\
**Posts on this page:** 4\
**Page:** 1

<div class="post-metadata">

**Author:** ![Amear238](https://avatars.discourse-cdn.com/v4/letter/a/a183cd/32.png) [@Amear238](https://community.make.com/u/Amear238)\
**Post date:** [August 6, 2026, 8:10am UTC](https://community.make.com/t/for-hire-make-scenarios-built-to-survive-failure-error-handling-tested-recovery-and-you-own-everything/113024/1 "2026-08-06T08:10:23Z")

</div>

I build Make scenarios that keep running when things break — error handling on every critical route, documented handoff, and no lock-in.

Proof of the standard I build to:

My lead build ran 90 days in production, checked itself every 60 seconds, and survived three deliberate attempts to kill it — forced shutdowns, broken scripts, network drops. It detected each failure fast, recovered clean, and never needed a rebuild. Full write-up: [GitHub - amear238/self-healing-ai-infrastructure: An AI monitoring agent that watches production infrastructure every 60 seconds, diagnoses its own failures, fixes low-risk issues in scope, and escalates the rest for human approval. 90 days in production. · GitHub](https://github.com/amear238/self-healing-ai-infrastructure)

What that discipline looks like in Make:

- **Error handlers as a requirement, not an afterthought.** Every critical route gets a defined failure path — retry, resume, or stop-and-alert — so a scenario never dies silently and gets discovered by your customer instead of you.
- **Failure visibility.** When something breaks, you get told — before it becomes a client-facing incident.
- **Human-in-the-loop where it matters.** For anything risky, the scenario proposes and a human approves. Nothing irreversible runs without a yes.
- **Tested changes before production, where the setup allows it.** For agency or white-label work that can mean sandbox or staging accounts, duplicated scenarios, or test data before anything touches live operations.

**White-label and agency work:**

I work behind the scenes. I do not contact your end client unless you ask me to. Handoff includes documentation for the scenarios, connections, failure paths and operating assumptions, so your team — or another competent Make builder — can understand what was built and maintain it later.

The other thing I build against is lock-in. Most automation gets sold with a hidden maintenance contract attached: the builder is the only one who can fix it. I think that’s a design choice, not a requirement. I build inside **your** Make account — you own the scenarios, the connections, and the documentation, and any competent builder can service what I hand over. Ongoing support is available if you want it; it is never required to keep your system alive.

Before I built automation, I ran businesses — family restaurants, a coffee shop, a martial arts gym. I know exactly what it costs when a system the business depends on goes down during service. That’s the standard I build to: not “it worked in the demo,” but “it kept working after we tried to break it.”

**Rate:** opening rate is in the low $40s per hour (USD). Fixed-scope quotes available once the scope is actually fixed.

**Getting in touch:** reply to this topic or send me a message with the thing in your business — or your client’s business — that’s wasting time or breaking too often. Tell me what you’re trying to automate, what apps are involved, and whether it’s direct or white-label. I’ll tell you straight whether it should be automated — and whether I’m the right person to build it.

---

<div class="post-metadata">

**Author:** ![yl124915300](https://avatars.discourse-cdn.com/v4/letter/y/8491ac/32.png) [@yl124915300](https://community.make.com/u/yl124915300)\
**Post date:** [August 31, 2026, 6:56am UTC](https://community.make.com/t/for-hire-make-scenarios-built-to-survive-failure-error-handling-tested-recovery-and-you-own-everything/113024/28 "2026-08-31T06:56:28Z")

</div>

Hi Amear — I have a paid Make + Airtable audit that may fit your white-label work: an existing AI document-intake workflow with data-integrity and reliability issues, using redacted data only.

Are you available for a fixed 24-hour audit this week? If so, please message me with your fixed price and one relevant proof example. No work would begin before the buyer funds the audit.

---

<div class="post-metadata">

**Author:** ![Amear238](https://avatars.discourse-cdn.com/v4/letter/a/a183cd/32.png) [@Amear238](https://community.make.com/u/Amear238)\
**Post date:** [August 31, 2026, 1:26pm UTC](https://community.make.com/t/for-hire-make-scenarios-built-to-survive-failure-error-handling-tested-recovery-and-you-own-everything/113024/29 "2026-08-31T13:26:06Z")

</div>

Hi, yes, happy to put on my investigator hat for this one this week.

One thing before I lock in the 24-hour window: does that clock start when I get access to the workflow, or when the audit gets funded? I’d rather commit to something I can actually hit instead of something vague.

Scope is a full audit of the intake pipeline’s data-integrity and reliability gaps. You’ll get a written findings report with fix priorities. Remediation isn’t included, that would be a separate follow-on if you want it done after.

On proof: I haven’t rebuilt your specific pipeline. But the failure class is one I’ve chased down before, wrong output without a crash, processes going silently dead. That’s exactly what [GitHub - amear238/self-healing-ai-infrastructure: An AI monitoring agent that watches production infrastructure every 60 seconds, diagnoses its own failures, fixes low-risk issues in scope, and escalates the rest for human approval. 90 days in production. · GitHub](http://github.com/amear238/self-healing-ai-infrastructure) catches. It runs in production on n8n. [CONFIRM: your actual hands-on Make/Airtable level. My day-to-day tooling is n8n-first, so I want to be upfront about that before you commit.]

I’ll get you a fixed price once I’ve had a look at the workflow and can scope it properly. No work starts until the audit is funded.

---

<div class="post-metadata">

**Author:** ![system](https://europe1.discourse-cdn.com/flex013/uploads/make/original/1X/9786f7887a39f4a0fef4d09346ab5b54ce20222b.svg) [@system](https://community.make.com/u/system)\
**Post date:** [October 10, 2026, 11:59pm UTC](https://community.make.com/t/for-hire-make-scenarios-built-to-survive-failure-error-handling-tested-recovery-and-you-own-everything/113024/70 "2026-10-10T23:59:22Z")

</div>


