Premium Documentation.
Crafted by Experts. Accelerated by AI.
Services
Services engineered to solve your core business problems by leveraging AI to deliver top-quality, scalable technical content.
For your Customers
Reduce support calls with user documentation that resolves issues before they pick up the phone:
- User Guides
- Help Portals
- Chatbots
- Help Articles
- Call Center Integration
For your Business
Accelerate operations with internal documentation that is always accurate and always up-to-date:
- Technical Documentation
- Docs-as-Code
- Internal Knowledge Bases
- Cross-Functional Workflows
- Policies and Procedures (SOPs)
For your API Partners
Drive API revenue with integration-ready API documentation that boosts adoption rates:
- API Documentation
- API Reference Material
- API Use Cases
- SDK Documentation
About
Get to know John Stonecypher, the AI Technical Writer.
Hi, my name is John, and I love creating clarity about complicated things.
Technical Writing has always been a natural fit for me, so I’ve been doing it for over two decades now. While I will happily document anything you give me, I mostly create things like help portals for software users, knowledge bases and procedures for businesses, and API documentation for engineers.
I leverage AI for rapid knowledge-gathering and documentation prototyping. When I first meet with your SMEs to use their valuable time, I arrive not with a blank page but with a complete first draft. The humans take it from there, refining the content with real knowledge, and hand-crafting it into a professional-grade documentation set.
I look forward to meeting you and your complicated thing!
Clients
Here’s what past clients have to say about the AI Technical Writer experience.
What sets
John apart…What sets John apart is his personalization of projects to understand and cater to specific business needs. I recommend him for both his technical and interpersonal skills. He is a pleasure to work with, pulling stakeholders and developers together to accomplish business objectives.
API docs,
Docs-as-codeJohn is the master of all things documentation. His technical knowledge, use of docs-as-code, and comprehensive API documentation contributes to faster delivery and project success. He actively listens to everyone at the table and creates shared understanding of customer experience, process workflows, and development requirements.
Accurate, easy-to-maintain docs
I worked as a developer who worked on a variety of APIs alongside John, who created comprehensive, accurate, and easy-to-maintain documentation for our products. John asks all the right questions and produces the clarity that makes projects succeed.
Easy-to-understand visuals
John is meticulous and has an eye for creating straightforward, easy-to-understand visuals. He always takes the time to understand what he’s documenting, so the proper message can be conveyed to users. He is able to talk with developers and translate their language to everyday speak.
Made my job infinitely easier
John is absolutely amazing to work with. I’ve never met anyone who’s as passionate and conscientious as he is about documentation. He made my job infinitely easier. If you’re looking for a tech writer who really cares about what they do and wants to support their coworkers, John is the one you’re looking for!
Upskills
non-technical stakeholdersJohn’s ability to collaborate with and upskill non-technical stakeholders is invaluable! When he built our knowledge base, he was incredibly patient, articulate, and skilled at translating complex technical concepts into easy-to-understand guidance.
Portfolio
These case studies demonstrate how I turn complex systems into clarity, always with a focus on business needs and measurable outcomes.
NOTE: Because much of my client work is subject to NDAs, some of the case studies below are fictionalized.
CASE STUDY: API Documentation for QBank Connect
The Challenge: For QBank Connect, a white-label banking API, revenue depended on easy adoption by third-party SaaS platforms. But without quality documentation, engineers were struggling to find actionable starting points in a sea of raw technical data.
The Solution: I redesigned the developer experience by implementing a Docs-as-Code workflow and an information architecture organized around user intent. By prioritizing Documentation Time to Value (DTTV), I transformed the repository into an integration-ready asset that synchronizes smoothly with engineering cycles.
Key Outcomes:
- Rapid Integration: Reduced the Quickstart developer experience to under 5 minutes.
- Engineering Alignment: Integrated documentation directly into existing code workflows for automated, accurate updates.
- Information Velocity: Minimized Time to Information (TTI) by restructuring content around developer goals rather than system architecture.
CASE STUDY: Procedure Documentation for Journey Church
The Challenge: The Journey Church AV Team was operating with a critical knowledge silo—a complex audio-processing workflow that existed only in the mind of a single volunteer. This bottleneck left the team unable to scale.
The Solution: I built a centralized, living knowledge base in Confluence Cloud that turned this undocumented process into a repeatable, foolproof operation. By prioritizing Time-to-Information (TTI), I ensured that even a non-technical volunteer could step in and succeed on day one.
Key Outcomes:
- Single Source of Truth: Consolidated scattered notes into a structured space.
- Scalable Knowledge: Enabled rapid volunteer onboarding with zero training overhead.
- Risk Mitigation: Eliminated the “single point of failure” by democratizing technical knowledge.
CASE STUDY: Source Code Analysis for Weather Reporter
The Challenge: The Weather Reporter open-source project was an unmaintained, undocumented codebase that acted as a “black box” for potential contributors. Without a clear entry point or functional reference, the project was stagnant.
The Solution: I performed a deep-dive source code analysis to reverse-engineer a comprehensive documentation suite without requiring time-intensive stakeholder interviews. I delivered a self-documenting ecosystem that provides immediate clarity for both high-level users and deep-level developers.
Key Outcomes:
- Zero-Interview Prototyping: Generated 100% accurate technical references through direct code analysis, bypassing the need for SME intervention.
- Automated Reference: Embedded PEP 257 docstrings and created detailed logic maps for data transformation and error handling.
- Contributor Readiness: Established a standardized “How to Contribute” framework to ensure long-term project scalability.
