Prompts for writing technical content with ChatGPT (Full Build Session)

How to Craft Technical Content Using ChatGPT: A Complete Workflow Guide

In the fast-paced world of B2B startups, producing clear, accurate, and engaging technical content is essential for successful product adoption and customer support. As a content creator for companies like Ramp, Webflow, and Augment Code, I’ve experimented with leveraging ChatGPT to streamline this process, often without relying on additional software or complex workflows. Today, I want to share a comprehensive approach that can help you harness ChatGPT effectively to develop technical guides and explainers efficiently.

A Practical Example: Connecting Calendly with Slack

To illustrate this workflow, I simulated creating a detailed guide for integrating Calendly with Slack—a common use case with a wealth of existing documentation. Analyzing available resources, I noticed most tutorials focused on quick setup but lacked insights into the benefits and varying complexity levels. This gap provided an excellent starting point for applying ChatGPT to fill in the gaps and create a professional, informative piece.

Step 1: Conducting Research with ChatGPT

The first step involved using ChatGPT to gather foundational knowledge. A simple prompt like “How do I integrate Calendly with Slack?” yielded responses that went beyond basic instructions. The model provided a tiered breakdown:

• Using the Slack app for straightforward setup
• Utilizing low-code automation tools like Zapier or Slack’s Workflow Builder
• Developing custom workflows through APIs

This layered information structure served as a blueprint for organizing the content effectively and ensured coverage of different user scenarios.

Step 2: Establishing Context and Audience Awareness

To produce content that resonates, I invested a few minutes to generate supporting artifacts:

• A brief overview of Calendly’s core functions and target users
• Notes on the preferred tone and style, influenced by Calendly’s official documentation
• A persona representing typical readers—say, a non-technical marketing manager

These artifacts formed a cohesive context, helping to guide the tone and technical depth of the draft, and preventing it from becoming overly generic or SEO-driven.

Step 3: Modular Content Creation

Rather than prompting ChatGPT to produce the entire guide at once, I divided the task into sections:

• Introduction and key benefits (under 200 words)
• Low-code integration options with external tools
• Developer-focused instructions with sample API workflows

This modular approach allowed for more precise prompts, resulting in cleaner drafts that facilitated easier editing and improvement.

Step 4: Refinement and Finalization

With individual sections