# A day in a life of the AI-assisted technical content writer

> Source: <https://elizabethtai.com/2026/08/26/a-day-in-a-life-of-the-ai-assisted-technical-content-writer/>
> Published: 2026-08-26 04:19:04+00:00

*I find it hilarious that when I search for “working writer” on Pexel, they serve me numerous images of serious-looking people with typewriters. Honey, we’ve moved on from that, but I’ll use it because of the romanticism of it all. In truth, I work with two monitors, a mouse and a mechanical keyboard hooked up to a laptop that constantly reminds me of yet another Jira and chat notification. *A* steady drip of coffee throughout the day is essential for brain power. *

First, a caveat: There’s no such thing as a* typical *work day for me. Some days I go all-in with content creation. Some days are meeting-heavy days. Other days I plan and manage the content pipeline.

The day I’m highlighting is a “content creation” and “content management” day. Here’s how it can go:

**9am: **I am in the office with a cup of coffee.

From 9 to 5pm I may be doing the following:

- Bob, one of my agents, has a daily brief ready for me in a chat room. The report helps me get caught up as it tells me what’s been happening in chat rooms and emails while I was asleep. I take note of requests and personal DMs. I may have to rejig the quarterly editorial plan if I get an urgent content request.
- After reading the brief, I send an agent to create a fact pack for a project I’ll be writing about. We have a rich, well-maintained knowledge base it can use.
- While my agent is running around, I’m working with my chosen AI coding agent (it could be Antigravity, Claude Code) to discuss the editorial calendar app I’m building with it.
- Once I get the fact pack project, I’ll evaluate the report to see if the project is “ready” to be turned into content.
- If the project is ready, I’ll evaluate every single claim of the report to ensure its accuracy.
**12pm.** I break for lunch- Then I’ll write the outline for the case story with my brain and fingers because it’s important to encode that information in my head..
- If I feel like it I will ask another agent to expand the outline to the case study format I’ve told it to use.
- Then I will revise that prototype like crazy.
- Once the draft is ready I’ll use another agent who serves as a beta-reader (from the perspective of our target audience), a “third eye” to critique the draft to surface any missing perspectives/points
- I revise again
- Then once I’m satisfied, I launch a copyeditor agent. If I’m fairly confident I just go straight to a proofreading agent.
- The copy is now ready for review. I update the necessary job tickets.
- The day ends with me going for a walk towards the nearby town centre for dinner.

Okay, I wouldn’t call this a *typical* day. It’s a fairly intense content-creation day. But it’s VERY possible thanks to the AI assistance.

Usually I prefer to do this entire workflow in two days: One day for creation, another day for evaluation and revision. Different days for different brain modes. It’s kinder on the brain.

In a typical company, a team may execute this workflow. Now, I have a whole content team (and even an engineer bot) to help me. What used to take an entire week or more can be condensed into 1-3 days.

I am still the boss and I still write heavily.

You are probably wondering: why not hire people to fill those roles AI is doing?

Yes, ideally it’ll be great to have a team.

But what makes you think every company has the luxury to hire an entire team for content purposes?

In my career, I’ve had roles where I’m the solo tech writer/writer. All-in-one, jack-of-all-trades content roles are common in Malaysia because local companies tend to be very lean.

If you have a human team to support you, all the better!

All stripes of writers, whether they are tech writers, content marketers or managers, whether they have a team or not, can benefit from the assistance of AI, especially if they know how to use them well.

However, this will be a game-changer for that solo, all-in-one content manager and marketer; it’ll enable them to work with support, even if it’s just a bot.

Enterprise content management and creation is very complex, so I cannot say that AI will turn everything into nirvana overnight for content professionals.

Used improperly, it will *still* be more work than help. And if expectations are unrealistic, content professional will still be burned out by the demands.

But a company that understands the role LLMs play in assisting content creation will really stand to benefit from it.

PS: I always try to offer a more realistic view of the profession, not a rainbows and kittens idea of how it’s like to be a writer in enterprises. You can read more below:
