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Fiverr Pro
English
$
USD
I will automate your customer tickets and classify data with accurate ai
Prince Rajput
About this gig
Are your AI tools giving wrong answers, hallucinating, or misclassifying your customer tickets or Excel data?
I build professional AI automation pipelines using OpenAI GPT, LangChain, n8n, Make.com, and Zapier to analyze thousands of support tickets with strict accuracy and near-zero hallucinations.
I create a fully controlled AI agent (not a normal ChatGPT workflow) that processes your data safely, consistently, and in bulk.
What I Deliver:
- Automatic classification for every ticket
- like
- Is it a cancellation?
- Is the culprit known?
- Is there a complaint?
- Custom fields you define
- Clean, structured JSON or Excel output
- Accurate summaries in Dutch, French, or English
- Strict no hallucination setup (temperature 0 + fixed schemas)
- Bulk processing: 1,000 100,000 tickets
- Rule-based logic + example-driven prompt engineering
- Built using n8n, Make.com, Zapier, LangChain, and OpenAI API
Why clients choose me:
- I provide a sample run for quality check
- I build automation flows you can reuse every month
- AI outputs are consistent, structured, and safe for business
- I specialize in multilingual ticket analysis (NL / FR / EN)
Send me your sample file and the fields you want analyzed
Get to know Prince Rajput
Prince Rajput
MakeMind Automation
- FromAustralia
- Member sinceOct 2025
Languages
English, German
I help businesses save time with automation. I build workflows and AI agents with n8n, Make.com, Zapier, and custom APIs, from CRM syncs and AI ticket classification to e-commerce workflows and AI voice agents. You get clean, scalable systems with clear communication and fast delivery, built around your exact process. Message me with what you want to automate, and I will suggest a practical plan before you order.
FAQ
1. Can you prevent AI hallucinations?
Yes. I use strict JSON schemas, temperature 0, rule-based logic, and example-driven instruction tuning. The AI only responds with fixed options like “yes / no / unclear,” which eliminates guessing and hallucinations.
2. Which tools do you use to build the automation?
I use n8n, Make.com, Zapier, LangChain, and OpenAI API. These tools ensure reliable structured output for large ticket datasets.
3. Can you process Dutch and French tickets?
Yes. I specialize in multilingual ticket analysis (Dutch, French, English). The summary can be written in the original language of the ticket.
4. What type of data can you classify?
Anything text-based: support tickets, emails, reviews, messages, forms, surveys, spreadsheets, complaints, cancellation requests, and customer service logs.
5. Can you add custom fields for classification?
Yes. You can specify any number of custom labels—cancellation, complaint, culprit known, urgency, sentiment, category, etc.
7. Can you handle large datasets (5k–50k tickets)?
Yes. I can process 1,000 to 100,000 tickets using batching and automation workflows.
9. Can I run this automation every month?
Yes, I can build a monthly recurring automation that processes new tickets automatically.
11. Is my data safe?
Yes. All data is processed privately. I can use OpenAI with “no training” mode, or even local models (LLaMA/Ollama) if you prefer.
