AI Agent Development | Custom GPT Development by Gautam AhujaAI Agent Development | Custom GPT Development by Gautam Ahuja
AI Agent Development | Custom GPT DevelopmentGautam Ahuja
Develop a custom AI agent tailored to your business needs, leveraging LangChain, Zapiers, Make, N8N and advanced RAG (Retrieval-Augmented Generation) techniques.
Whether it's automating workflows, enhancing customer interactions, or building complex internal tools, I deliver scalable, production-ready solutions designed for your specific use case.
What's included
Use Case Analysis
Detailed understanding of the client’s requirements to identify the most suitable AI agent architecture. Determining tools and tech-stack for implementation.
Custom AI Agent Development
Building the agent using LangChain with Python or Node.js, tailored to the client’s specific needs.
Knowledge Base and API Integration
Integrating data sources, APIs, or external tools required for the agent's functionality.
Production Deployment
Deploying the AI agent into a live environment, ready for immediate use.
Post-Deployment Support
Providing maintenance, troubleshooting, and basic training for optimal performance and usage.
FAQs
I have extensive experience using the most popular AI agent framework - Langchain. I will use Python or NodeJs to build the agent.
The agent can perform any task technically feasible by LLMs. This can include:
- Answer from a knowledge base
- Send personalized emails to leads
- Lead qualification
- HR assistant
- Resume screening
- Customer facing chatbot
- AI agent for outbound and inbound calling
Develop a custom AI agent tailored to your business needs, leveraging LangChain, Zapiers, Make, N8N and advanced RAG (Retrieval-Augmented Generation) techniques.
Whether it's automating workflows, enhancing customer interactions, or building complex internal tools, I deliver scalable, production-ready solutions designed for your specific use case.
What's included
Use Case Analysis
Detailed understanding of the client’s requirements to identify the most suitable AI agent architecture. Determining tools and tech-stack for implementation.
Custom AI Agent Development
Building the agent using LangChain with Python or Node.js, tailored to the client’s specific needs.
Knowledge Base and API Integration
Integrating data sources, APIs, or external tools required for the agent's functionality.
Production Deployment
Deploying the AI agent into a live environment, ready for immediate use.
Post-Deployment Support
Providing maintenance, troubleshooting, and basic training for optimal performance and usage.
FAQs
I have extensive experience using the most popular AI agent framework - Langchain. I will use Python or NodeJs to build the agent.
The agent can perform any task technically feasible by LLMs. This can include:
- Answer from a knowledge base
- Send personalized emails to leads
- Lead qualification
- HR assistant
- Resume screening
- Customer facing chatbot
- AI agent for outbound and inbound calling