Quickwork: Prompt Management and Automation Platform

Key Facts

• Client: Quickwork
• Industry: AI automation and creative tooling
• Services provided: Full-stack development, UI/UX design, LLM integration, Zapier integration
• Technologies used: LLM APIs, microservices backend, automation workflows, API integrations /images/showcase/quickwork/automation.png

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Company

Quickwork is a platform for prompt management and workflow automation built on large language models. It acts as a wrapper around chat models, giving users an interface to write, organize, and reuse prompts, and integrates with Zapier to connect those workflows to other applications.

What the client needed

• An interface to create, manage, and refine prompts.
• LLM-driven automation connected to Zapier.
• A microservices backend that could scale with API load.
• A workflow that worked for both technical and non-technical users. What we built

We built Quickwork end to end: the frontend, the backend, and the automation layer.

• Prompt management — A UI to generate, edit, and version prompts for LLMs.

• Full-stack development — A frontend over a microservices backend.

• Zapier integration — Connected Quickwork to the Zapier app catalogue so prompts could trigger and consume external workflows.

• Chat interface — A conversational interface to the underlying models.

• Automation workflows — Configurable workflows for repeated tasks. What shipped

• A prompt-management interface backed by LLM APIs.

• Zapier integration linking workflows to third-party applications.

• A microservices backend handling API load. Notes

This case study predates the launch.ist agent and provenance workflow; it is included as evidence of the team’s engineering depth, not as an example of agent-assisted delivery. The build is real; the metrics that once appeared here were not measured, so we have removed them.