Indigo Byte Systems, LLC / Dr.Explain software

CHM Help for Engineering Software: Solidplant SolidPlant develops professional 3D design software for industrial facilities. A PDF file with instructions no longer met modern standards and was hurting user productivity. Wirawat Charoenkoop, lead developer at SolidPlant, shares how they used Dr.Explain to create a CHM file that integrates directly into the application — making their software much easier to use. 👇 https://lnkd.in/d5VCBgAW #TechWriting #UserDocumentation #HAT #DrExplain

Context-sensitive help for ERP systems: Siborsoft's experience with Dr.Explain Siborsoft develops ERP systems. The developers found that frequent updates rendered verbal guidance useless, while legacy CHM help authoring tools required code recompilation every time the user documentation needed an update. Robert Sibilski, CEO of Siborsoft, shares how his company uses Dr.Explain to build a context-sensitive help system for their flagship products — EDOM and PAS. 👇 https://lnkd.in/ePqFHNmr #TechWriting #UserDocumentation #HAT #DrExplain

Ordinary search only shows you where to look, but an AI assistant actually solves the user’s problem. However, this is only possible if the neural network truly "understands" the product. In our new article, we explain how to turn your knowledge base into structured context for an AI assistant. You’ll learn: ✅ Why classic hierarchical documentation doesn’t work for LLMs. ✅ The risks of transitioning to AI‑oriented documentation. ✅ A forecast for the next 2–3 years. And more 👇 https://lnkd.in/eynNrXmh #TechWriting #UserDocumentation #HAT #DrExplain

Standards vs. requirements for user documentation: what's the difference? Our new article sorts it out. We'll show you: ✅ where to source your requirements (hint: not from thin air); ✅ what drives format and what drives substance; ✅ a checklist to test every requirement before you write a single word. Plus more practical tips — read on 👇 https://lnkd.in/gh5ENX6q #TechWriting #UserDocumentation #HAT #DrExplain

HelpSmith and DrExplain: which help authoring tool is better for you? We compare: ✅ Interface ✅ Output formats ✅ Screenshot annotation And more👇 https://lnkd.in/eDtBF_BP #TechWriting #UserDocumentation #HAT #DrExplain #HelpSmith

How can user documentation shape the way people perceive your product? In our latest article, we explore which approaches build trust — and which ones can damage your reputation. You'll learn: ✅ How cognitive transfer, empathy, consistency, and autonomy actually work ✅ How Apple, Microsoft, Stripe, Django, and Notion turned documentation into a strategic asset ✅ The difference between reactive and proactive approaches to user documentation …and more 👇 https://lnkd.in/eViB_A7w #TechWriting #UserDocumentation #HAT #DrExplain

Automation in technical writing is raising new questions. What exactly falls under the role now? Which skills will save your career? How does documentation affect sales? The answers are in the State of Docs survey. In this article, you’ll learn: ✅ how AI‑powered consumption is changing the requirements for help content structure; ✅ where AI speeds up work — and where it slows it down; ✅ the top 5 technical writer competencies for 2026 and more 👇 https://lnkd.in/euDVxgS3 #TechWriting #AI #Documentation #DevTools #DrExplain #StateOfDocs

Is your documentation portal AI-ready? AI agents are already ingesting your content to answer user queries. But if your documentation is built on standard Docs-as-Code 1.0 architecture, those agents are likely struggling with the context—resulting in hallucinations and factual errors about your product. We’re moving toward a new standard: Docs-as-Code 2.0. The goal is to evolve our documentation from static web pages for humans into structured datasets for machines. In our latest deep dive, we break down how to implement the three critical layers of this paradigm: ✅ llms.txt: A clean, navigable content map for LLM ingestion. ✅ MCP (Model Context Protocol): Standardized, low-latency instructions for AI agents. ✅ JSON‑LD: Semantic markup that provides deep page-level context. See how to future-proof your technical content for the era of RAG and AI agents:👇 https://lnkd.in/gQxCphBf #TechWriting #AI #Documentation #DevTools #LLM #DrExplain #DocsAsCode #RAG

Help+Manual vs Dr.Explain: the ultimate HAT drag race 🚩 One offers fine‑tuned customization, a versatile engine that handles any format, and full version control integration. 🚩 The other brings topic locking for seamless collaboration, responsive layout, and intelligent screenshot handling. Who will get through the development sprint without pit stops? Who will cross the deadline finish line first? Read the full comparison 👇 https://lnkd.in/eU8ZqsYr #UserDocumentation #TechWriting #HAT #DrExplain #HelpManual

Why do technical writers have an edge when working with AI? If you're a technical writer, these professional skills already make you a practically ready-made prompt engineer: https://lnkd.in/edQPNQbT #UserDocumentation #TechWriting #HAT #DrExplain #AI