Development of a Scalable Chatbot Backend Workflow by Tomasz IwanskiDevelopment of a Scalable Chatbot Backend Workflow by Tomasz Iwanski
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Development of a Scalable Chatbot Backend Workflow

Tomasz Iwanski

Tomasz Iwanski

Overview I built an end-to-end chatbot workflow using Buildship, combining REST API triggers, dynamic inputs, UUID-based session handling, and an OpenAI Assistant.
The goal was to create a reusable chatbot backend that can be embedded as a widget or accessed via API.

What this flow does

Accepts user messages via REST API or chatbot widget
Generates unique session IDs per conversation
Routes messages into an OpenAI Assistant with custom instructions
Returns structured AI responses ready for UI consumption

Tools & Stack

Buildship (workflow builder)
OpenAI Assistant
REST API endpoints
UUID-based session handling

Why this matters

This setup mirrors how real AI products work in production — not demos. It’s modular, scalable, and easy to extend with databases, auth, or webhooks.
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Posted Jan 25, 2026

Developed a scalable chatbot backend using Buildship and OpenAI.