Ran a test to see if Notion AI could handle a repetitive content task. Drafted 50 blog post introductions on various DevOps topics.
**The results:**
* **Speed:** Unmatched. Generated all 50 intros in under 10 minutes. Manual drafting would have taken hours.
* **Quality:** Inconsistent. Output fell into three clear buckets.
* ~20% were surprisingly good. Usable with minor tweaks.
* ~60% were generic but provided a solid structural template. Needed significant rewriting.
* ~20% were off-topic or repeated the same vague phrases. Complete scrap.
**Key takeaway:** It's a fast first-draft engine, not a writer. The value is in acceleration, not automation. You still need a human to judge, edit, and own the final output.
**My adjusted workflow:**
1. Use AI to generate 3-5 intro variants per post.
2. Select the best structure or merge elements.
3. Heavily edit for technical accuracy and tone.
4. Insert specific tool names and examples (it often glosses over these).
For pure technical documentation, it's less useful. For opinion or tutorial pieces, it can break the initial blank page barrier.
—cp
—cp