I will make com automation made com make ai automation make com scenario integromat


About this gig
Your Make.com scenario is burning credits on empty runs, creating duplicate CRM records, or failing at 2 a.m. with "429 Too Many Requests."
I'll rebuild it to run clean, stable, and cost-efficient.
I build production-grade Make.com scenarios that survive real traffic:
- Webhooks over pollingstop paying for "no new data" runs
- Dedup keys + upsert logicno duplicate leads in HubSpot or Airtable
- Structured AI outputs with Parse JSONbad responses never corrupt your CRM
- Error handlers on every modulebackoff for 429s, fallback for bad data
- Token/cost logging for AI stepstrack spend and spot issues early
What I typically build:
- Leads CRM + Slack, with qualification scoring and dedup
- Shopify/Woo QuickBooks + inventory sheet, block duplicate invoices
- Invoices AI extraction accounting + approval
- Ops dashboards: Ads/CRM/Finance Sheets scheduled PDF reports
You'll get:
- A scenario that respects your plan and credit budget
- Clear docs + Loom walkthroughso your team can maintain it
- Export file + change logsafe, auditable updates
Send me your current scenario or error screenshots. I'll reply with a feasibility check and step count before you order.
Get to know Joel
All in one Ecommerce and Automation Solution, You can trust us with that!!!!
- FromNigeria
- Member sinceJul 2026
- Avg. response time1 hour
Languages
English, German, French
My Portfolio
FAQ
My scenario works in test but fails in production with random 429/rate-limit errors. What will you change?
I’ll add capped exponential backoff with jitter, honor Retry-After where available, and spread polling intervals to avoid burst traffic. I’ll also batch calls and reduce concurrency so you stay under the API’s ceiling instead of constantly hitting it.
Shopify/Typeform is creating duplicate records in HubSpot/Airtable. How do you prevent that?
I’ll use a unique key (order ID, email + timestamp, or external ID) and implement create-or-update (upsert) logic. I’ll add a pre-write dedup check and ensure updates don’t re-trigger downstream modules, so each record is written exactly once.
Your description mentions “strict JSON + re-prompt.” What happens when the AI returns bad output?
I force strict JSON, validate with Parse JSON, and route failures to a separate branch. On failure, I re-prompt the model with the validation error attached. If it fails again, I log the payload and send a human-readable exception instead of corrupting your CRM.
My Make scenario has a pile of incomplete executions. Will you just “resolve” them or fix the root cause?
Both. I’ll clear the queue safely, then add error handlers, sequential processing where needed, and proper retry logic for RateLimitError/5xx. The goal is to stop the pile from growing, not just click “Resolve” every week.
I’m on Make’s Core/Pro plan and worried about credits. How do you keep runs cheap?
I prefer webhooks over frequent polling, stagger intervals to avoid overlapping checks, and minimize modules that run on every iteration. I also avoid unnecessary AI calls and log token usage so you can see exactly where credits go.
Can you migrate my old Integromat scenarios to Make without breaking anything?
Yes. I’ll export your Integromat scenarios, import into Make, update any deprecated modules, and run end-to-end tests before switching you over. I’ll keep a change log so you know what changed and why.
Do you provide ongoing monitoring or just one-time builds?
Both. I can do a one-time build with full handover, or a monthly retainer to monitor runs, fix errors, and add new steps as your process evolves. For retainers, I share a simple monthly report: runs, errors, credits, and improvements.

