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Deploy a custom AI agent workflow from OpenAI Agent Builder to a live website chatbot

Non-technical teams, product managers, customer support teams

1-2 days for basic setup

What Success Looks Like

A fully functional chatbot on your website that classifies users, provides specialized responses, and can integrate with your existing tools without ongoing developer support

Steps to Execute

Define your use case and user types that need different treatment

Create and clean your knowledge base data for vector store

Build classifier agent with clear examples of each user type

Create specialized agents for each user category with specific prompts

Connect agents to relevant tools (MCPs, vector stores, APIs)

Test workflow thoroughly using preview mode with edge cases

Set up guardrails for safety and quality control

Deploy using ChatKit SDK with workflow ID and API keys

Install chatbot script on website and configure appearance

Checklist

User scenarios documented with examples

Data cleaned and uploaded to vector store

Each agent tested individually

Classification accuracy validated

Guardrails configured for safety

Integration with external tools working

Chatbot appearance customized

Analytics and logging enabled

Inputs Needed

OpenAI API keys and credits
Knowledge base documents
Website access for script installation
User scenario examples for training
External tool credentials (if using MCPs)

Outputs

Published agent workflow
Functional website chatbot
User interaction logs
Classified lead/customer data
Automated responses to common queries

Example

“A B2B SaaS company deploys a chatbot that identifies if visitors are existing customers needing support or new prospects, then either helps troubleshoot using their knowledge base or qualifies leads for sales team”