🚀 How I Use AI to Write Better and Faster as a Technical Writer

There’s been a lot of talk about AI replacing writers.

But for me, it’s not something to fear.

I use AI every day in my work as a technical writer—and it helps me do the job better.

AI isn’t taking over my work.

It’s making me faster, more efficient, and able to focus on the parts that matter most.


đź§  What Technical Writing Looks Like Today

Technical writing is more than just writing.

It’s interviewing subject matter experts.

It’s mapping out workflows.

It’s creating help content, SOPs, product guides, and more.

It’s breaking down complex systems into usable content.

Most of that still relies on human skill.

But there are tasks that take time and drain energy.

Formatting.

Converting data.

Rewriting repetitive sections.

Organising feedback.

That’s where AI fits in.


⚡ How I Use AI to Work Smarter

Drafting initial content

Sometimes you just need a starting point.

I’ll feed AI a brief, a few bullet points, or a meeting summary.

It gives me a rough first draft to work from.

I always rewrite and shape it—but it saves me hours.

Structuring long documents

AI can quickly help turn messy notes or transcripts into a logical structure.

If I have a big dump of info, I can ask AI to group it, label sections, and highlight gaps.

It’s like having an assistant who doesn’t complain about sorting through chaos.

Rewriting content for clarity

Got a paragraph that’s too technical or clunky?

I ask AI to rewrite it for plain language.

I might not use the exact suggestion—but it gives me ideas and speeds up editing.

Formatting and consistency

AI tools help check for style issues, broken formatting, or inconsistent headings.

It saves me from missing small things when reviewing long docs.

Creating tables and summaries

When I need a quick table based on steps or categories, AI helps build one fast.

It’s also great for summarising long text into bite-sized overviews.


🔍 What AI Doesn’t Replace

AI can’t replace working with humans.

It can’t interview subject matter experts.

It can’t observe how a process actually works in the real world.

It doesn’t know your team, your tools, or your style guide.

It won’t spot the gaps in a flow diagram or ask why a step is missing.

And it won’t take responsibility if the documentation is wrong.

That’s on us.


🛠️ Why Technical Writers Should Embrace AI

Using AI doesn’t mean you’re lazy.

It means you value your time.

You want to spend less of it on the repetitive bits and more of it on the thinking, collaboration, and quality work.

When used well, AI makes you:

  • Faster at first drafts
  • Better at reviewing large volumes of text
  • More consistent across documents
  • More focused on content quality and accuracy

And if your team is under pressure to deliver more with fewer people, AI helps you meet deadlines without burning out.


đź’¬ AI as a Tool Not a Threat

I see AI as part of the toolkit.

Like spellcheck.

Like templates.

Like style guides and checklists.

It helps me write faster—but I still decide what’s right.

I choose what gets published.

I validate with subject matter experts.

I bring context and judgement that AI can’t.

I’m not afraid of AI.

I’m using it to do better work, faster.

And I think more technical writers should too.

Read More

Related Posts

Why Listening Beats Logic: The Underrated Skill of Successful Analysts

👂 The Analyst’s Most Overlooked Skill In business analysis, we often celebrate logic, frameworks, and methodologies. Process maps, requirements templates, and data models dominate conversations. But successful analysts know that their most powerful skill isn’t a framework — it’s listening. Active listening helps uncover unspoken concerns, hidden motivations, and the

How to Spot Broken Processes Before AI Makes Them Better to Optimise

🔍 Why Broken Processes Matter in the Age of AI AI promises speed, automation, and efficiency. But if a process is broken, AI doesn’t fix it — it magnifies the flaws. Automating a slow, inefficient, or inconsistent workflow only makes mistakes happen faster. That’s why stakeholders need to identify broken

Documentation as a Competitive Advantage in the Age of AI

📖 Why Documentation Matters More Than Ever In every organisation, documentation has often been treated as an afterthought. User guides, process maps, and technical manuals were seen as “nice to have” rather than business-critical. But in the age of AI, documentation is no longer optional — it’s a competitive advantage.

The Rise of AI Co-Pilots: What It Means for Business and Process Analysts

🛫 What Are AI Co-Pilots? AI co-pilots are emerging tools designed to assist rather than replace professionals. Microsoft’s Copilot for Office, GitHub Copilot for coding, and similar tools integrate AI directly into everyday workflows. Instead of being stand-alone platforms, these copilots act as intelligent assistants that anticipate needs, suggest improvements,