You will get a Make.com automation that works in real production
Project details
Most teams don’t fail at automation because of AI — they fail because workflows break in real-world use.
I help businesses replace fragile, one-off automations with reliable systems that handle edge cases, bad data, and changing conditions.
I build no-code and low-code workflows using Make, LLMs (GPT-4, Claude, Gemini, DeepSeek), and APIs to automate repetitive work like data handling, content generation, routing, reporting, and internal operations.
My focus is not “AI for the sake of AI.”
It’s automation that:
• reduces manual effort
• behaves predictably
• survives real users and real data
Whether you need a small fix or a production-grade workflow, I design systems with validation, checkpoints, and clear logic — so they keep working after delivery.
If you’re tired of automations that only work on happy paths, this project is built for you.
I help businesses replace fragile, one-off automations with reliable systems that handle edge cases, bad data, and changing conditions.
I build no-code and low-code workflows using Make, LLMs (GPT-4, Claude, Gemini, DeepSeek), and APIs to automate repetitive work like data handling, content generation, routing, reporting, and internal operations.
My focus is not “AI for the sake of AI.”
It’s automation that:
• reduces manual effort
• behaves predictably
• survives real users and real data
Whether you need a small fix or a production-grade workflow, I design systems with validation, checkpoints, and clear logic — so they keep working after delivery.
If you’re tired of automations that only work on happy paths, this project is built for you.
AI Development Type
Knowledge Representation, Software MaintenanceWhat's included
| Service Tiers |
Starter
$95
|
Standard
$295
|
Advanced
$595
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | - | ||
Ontology | - | - | - |
Source Code | - | - | |
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Extra Scope or Feature
(+ 1 Day)
+$50Frequently asked questions
About Tuna
AI Automation & No-Code Systems Builder | Make, LLM Workflows
Izmir, Turkey - 4:37 am local time
I specialize in no-code and low-code automation using Make, combined with LLM workflows (GPT-4, Claude, Gemini, DeepSeek) and API integrations. My focus is on building systems that reduce manual effort, improve consistency, and actually hold up in production.
What I can help you with:
- No-code automation workflows (Make, adaptable to Zapier / n8n)
- AI-assisted processes for drafting, categorization, monitoring, and reporting
- Multi-LLM workflows with validation and iteration steps
- API & webhook integrations (Google Sheets, CRMs, custom endpoints)
- Debugging and stabilizing existing automations
How I work:
I don’t treat AI as a magic button. I design workflows with clear rules, checkpoints, and human-in-the-loop control where needed. My approach is to stress-test systems, understand failure modes, and improve reliability over time — so they keep working after delivery.
Background:
- Experience in customer operations (Nike / Teleperformance)
- Built small but practical AI-assisted tools to reduce repetitive work
- Identified coordinated fraud patterns through data analysis
- Hands-on experience stress-testing LLMs to understand strengths and limits
If you need automation that survives real-world use — not just happy-path testing — let’s talk.
Steps for completing your project
After purchasing the project, send requirements so Tuna can start the project.
Delivery time starts when Tuna receives requirements from you.
Tuna works on your project following the steps below.
Revisions may occur after the delivery date.
Process review & scoping
I review your current workflow, clarify edge cases, and confirm scope before building anything.
Automation design
I design the automation logic, routing, validation steps, and AI usage (if applicable), focusing on reliability and failure handling.