You will get Autonomous AI Agent Built on Make.com Using Claude API
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Top Rated

Project details
Your team spends hours on tasks that require judgment, not just data entry — qualifying leads, reviewing content, summarizing research, routing decisions. A basic Zapier automation can move data, but it can't think. That's where an AI agent comes in.
I build custom AI agents using Claude API and Make.com — systems that read input, reason through decisions, call the right tools, and take action without a human in the loop for routine cases. Unlike simple chatbots or rule-based automation, these agents handle nuance: ambiguous leads, edge-case documents, multi-step logic that a basic "if this then that" workflow can't.
What makes this different: I don't just connect APIs — I design the decision logic first, test it against your real edge cases, then build it in Make.com with proper error handling and retries, so it holds up in production, not just in a demo.
Built for teams using HubSpot, Pipedrive, Airtable, Slack, or Google Sheets who want AI that actually decides, not just automates.
I build custom AI agents using Claude API and Make.com — systems that read input, reason through decisions, call the right tools, and take action without a human in the loop for routine cases. Unlike simple chatbots or rule-based automation, these agents handle nuance: ambiguous leads, edge-case documents, multi-step logic that a basic "if this then that" workflow can't.
What makes this different: I don't just connect APIs — I design the decision logic first, test it against your real edge cases, then build it in Make.com with proper error handling and retries, so it holds up in production, not just in a demo.
Built for teams using HubSpot, Pipedrive, Airtable, Slack, or Google Sheets who want AI that actually decides, not just automates.
Machine Learning Tools
ChatGPT, Google Sheets, GPT-3, PythonWhat's included
| Service Tiers |
Starter
$199
|
Standard
$349
|
Advanced
$599
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $150
Additional Revision
+$49
Additional Scenario
(+ 1 Day)
+$79
Data Source Connectivity
(+ 1 Day)
+$59
Source Code
(+ 1 Day)
+$99Frequently asked questions
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PC
Peter C.
Aug 19, 2026
Airtable Specialist Needed – Product-Based PDF Customs Declaration System
Had Vladyslav do a couple of automated forms on Airtable - excellent to work with would happily use again
HI
Hector Moises I.
Aug 10, 2026
Integrate Fathom with LessAnnoying CRM
Great to work with Vlad, he was creative in finding the right solution for us.
AT
Apostolos T.
Jul 2, 2026
Zapier Expert Needed – Update Google Sheet from Webhook (Brevo Newsletter CTA)
Working with Vlad was a great experience. His solution oriented approach and fast act made the resolution of our case a success.
NA
Nazim A.
May 31, 2026
Zapier automation expert
Highly recommend Vlad for any automation help!
NF
Niko F.
May 7, 2026
Make Automation for Invoices
Great work, completely satisfied
About Vladyslav
AI Workflow Automation | CRM Integration | Make, n8n, Zapier, Airtable
100%
Job Success
Nikopol, Ukraine - 2:50 pm local time
Recent results:
— Healthcare SaaS (UK): 60-minute compliance process reduced to 30 seconds via Airtable + Make, across 96 practices, zero missed deadlines, zero manual re-entry.
— UK Manufacturer: automated tariff & compliance documentation (Airtable + Make + Carbone) across 5,000+ products, zero manual document creation.
— Fathom→LACRM sync (insurance): eliminated race conditions across 4 Zaps causing silent CRM data loss, zero data loss validated on live calls, 5-star review.
— Prague CRM fix: Zapier automation corrupting Pipedrive data traced to one root cause, permanent fix, zero data loss going forward, 5-star review.
— US Construction: Airtable QR inventory tracking system with mobile form automation, zero manual data entry, tested across 10 locations on iOS and Android.
— Webinar funnel: ClickFunnels + ActiveCampaign + Make + Calendly, lead to booked call in 90 seconds, zero leads dropped across 5 tools.
That's what I call the Zero-Drop System: nothing falls through the cracks, on autopilot. Three phases — Audit: find where it's leaking. Automate: build the fix. Autopilot: keep it monitored. AI automation should SAVE time and MAKE money — not add complexity.
Clients usually reach out when:
— leads come in but never get tracked or followed up
— their CRM is full of duplicates and nobody trusts the data
— their team spends hours on manual updates a workflow could handle automatically
— their existing Make, n8n, or Zapier automation breaks the moment real data hits it
Typical Zero-Drop Systems I build: lead capture and routing automation, CRM automation, sales pipeline workflows, business process automation, multi-tool API integrations, AI agent workflows, AI content pipelines, marketing automation, client onboarding systems, booking automation, and Airtable operations databases. Projects range from a single week-long fix to a multi-month CRM rebuild — the audit tells us which one it actually is.
I work with SaaS companies, healthcare, financial services, and service businesses across EU and US markets. Every system I build is production-grade — tested against real, messy data before it ships, not just the happy path. Once a system is live, I check in periodically to confirm it's still catching what it's supposed to — automation that's monitored doesn't quietly drift when your process or volume changes.
Technologies behind my Zero-Drop Systems:
Automation: n8n, Make, Zapier, Webhook architecture, API integration
CRM: HubSpot, Pipedrive, ActiveCampaign, GoHighLevel, Airtable and others
AI: Claude, OpenAI
Documents: Documint, Carbone, Google Sheets, Google Docs
Portals: Softr, Webflow
Messaging: Telegram bots, Slack, Gmail
Payments: Stripe, Calendly, Cal
I typically respond within a few hours, so nothing waits on a scheduling gap. I've fixed enough broken automations to know exactly what questions to ask first. Tell me what your process looks like, and I'll tell you where it's actually leaking.
[Updated: August 24, 2026]
Steps for completing your project
After purchasing the project, send requirements so Vladyslav can start the project.
Delivery time starts when Vladyslav receives requirements from you.
Vladyslav works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Scoping
Review your process, tools, and sample data to define exactly what the agent should decide and do.
Agent Logic Design
Design the decision logic and prompting strategy using Claude API — mapping edge cases before building.



