AI Agent Builder

Understanding ChatGPT and Agent Capabilities

• How ChatGPT processes, reasons, and interacts

• Exploring GPT models and how they differ (GPT-4, GPT-4o, etc.)

• Real-world use cases of ChatGPT agents in business

• Demo: Inside a Custom GPT

Designing Intelligent ChatGPT Agents

• Defining the agent’s role, purpose, and objectives

• Structuring personality, tone, and response behavior

• Building instruction sets and conversation boundaries

• Workshop: Drafting your agent’s persona and goal

Mastering Prompt Engineering and Role Design

• Writing system and developer messages for control

• Using chain-of-thought prompting for logical reasoning

• Creating dynamic instructions and fallback behaviors

• Practice: Crafting reusable prompt templates

Building Your First Custom GPT (No-Code)

• Step-by-step creation inside ChatGPT’s GPT Builder

• Uploading and managing knowledge bases for accuracy

• Setting actions, tools, and file-handling abilities

• Exercise: Build and test your first fully functional GPT

Expanding Agent Capabilities with Actions and APIs

• What “Actions” mean in ChatGPT custom agents

• Connecting external apps (CRM, Slack, Google Workspace, etc.)

• Using Zapier, Make, and other no-code connectors for automation

• Activity: Configure your GPT to perform a live task

Data Handling and Retrieval-Augmented Generation (RAG)

• Adding custom company data to ChatGPT agents

• Integrating retrieval systems using vector databases (e.g., Pinecone, FAISS)

• How to build memory and long-context awareness into GPTs

• Demo: Build a knowledge-based support GPT

Testing, Debugging, and Optimizing ChatGPT Agents

• Common configuration issues and troubleshooting tips

• Testing for accuracy, tone, and relevance

• Setting performance metrics and continuous optimization

• Exercise: Conduct a user simulation test

Ethics, Security, and Responsible AI Use

• Managing confidential data in ChatGPT environments

• Reducing bias and ensuring fairness in responses

• Setting up human-in-the-loop workflows for oversight

• Discussion: The ethical line in automated conversations

Building GPTs via OpenAI API (Low-Code)

• Overview of the OpenAI API and Playground

• Sending structured requests (temperature, tokens, and parameters)

• Using Python or low-code platforms to build interactive GPTs

• Hands-on: Create an API-driven chatbot prototype

Automating Business Processes with ChatGPT Agents

• Using ChatGPT to handle repetitive communication and reporting

• Combining AI with business tools for operational efficiency

• Case study: End-to-end workflow automation via ChatGPT

• Workshop: Design a complete workflow integration plan

Multi-Agent Collaboration and Orchestration

• Designing GPTs that communicate and collaborate with each other

• Role-based agents for research, analysis, and synthesis

• Managing context across multiple agent roles

• Activity: Build a “team of GPTs” to complete a multi-step project

Final Project – Deploying Your ChatGPT Agent

• Packaging and presenting your agent for real-world use

• Sharing GPTs securely within teams or organizations

• Group presentations and peer reviews

• Certificate and post-course resources for further building