I will build custom openai chatbots


About this gig
Looking to automate customer support, capture leads, or build an intelligent AI assistant? Rigid, scripted bots frustrate users. To scale globally, you need a smart assistant that understands context, retains memory, and takes real-time actions.
As an AI developer, I build custom AI chatbots and autonomous agents utilizing the OpenAI API ecosystem. Whether you need a customer support bot trained on your private business documents or a complex agent capable of interacting with your database and external APIs, I have you covered.
What I Can Build For You:
- Custom Knowledge Bots: Trained on your PDFs, website links, or data stores.
- Multi-Platform Deployment: Websites, WhatsApp, Slack, or custom UI integrations.
- Autonomous AI Agents: Systems that trigger workflows, update CRMs, and log data.
- Advanced Architecture: Optimized context windows to ensure accurate, fast answers.
I focus on clean, human-centric user experiences, reliable code, and post-deployment support.
Please contact me before placing an order. Let's discuss your workflows so we can design the perfect AI solution for your business!
Get to know Awais Iftikhar
React Developer, OpenAI Specialist and Python Automation Expert
- FromPakistan
- Member sinceOct 2021
- Avg. response time1 hour
Languages
Urdu, English, Hindi
My Portfolio
FAQ
Do I need to provide my own OpenAI API key?
Yes, you will need to provide an active OpenAI account and API key. This ensures you maintain full control over your billing, usage data, and rate limits. I will guide you through the secure setup process.
Can the chatbot be trained on my private company data?
Yes. I use advanced embedding frameworks and vector data stores to connect the AI directly to your custom PDFs, text files, or website databases without exposing your sensitive records to public training sets.
What is the difference between a chatbot and an AI Agent?
A standard chatbot handles conversation based on provided text. An AI Agent can execute actions—such as checking real-time database inventories, booking appointments, or updating custom CRM pipelines based on the conversation.
How do you prevent the AI from making up incorrect information?
I implement strict system prompts, ground rules, and Retrieval-Augmented Generation (RAG) frameworks. This forces the model to pull answers directly from your verified business data, significantly minimizing hallucinations.

