The new productivity playbook: Checking AI's work is the fastest path to 'done'
- Steven Wriston
- Jan 5
- 3 min read
I use AI a lot in my job and I am impressed by the speed it provides a response. We often hear that AI can write a blog post or an email in seconds. But as anyone who has used these tools knows, you can’t just hit "send" or "publish" immediately. I knew that wasn't the end of the process. I still have to check it for accuracy to make sure the information is reliable.
To me, that seemed like additional work. I then wondered if I am really saving time using AI to write for me when I add in the time to create the prompt with the editing, or if the "cleanup" phase cancels out the speed of the machine. Here is what I found out.
The short answer is yes. While checking does take time, the "creation gap" AI fills is so large that you still come out ahead. Here is a look at the true gains of using AI with a human in the loop.
The Numbers: Creation vs. Checking
Data from real-world studies shows a massive difference between how fast AI creates and how long it takes a human to verify that work. Even though you are adding a "review" step, you are still finishing tasks much faster than if you started from scratch.
Task Stage | Manual Way (No AI) | AI + Human Review |
Drafting | 60 - 90 minutes | 15 - 20 minutes |
Reviewing | Included above | 10 - 15 minutes |
Total Time | ~75 minutes | ~30 minutes |
Net Savings | — | ~60% faster |
In general, for everyday tasks like emails or internal reports, AI does about 80% of the heavy lifting. Even when you add 15 minutes of careful editing, you are still finishing the task in less than half the time it would take to stare at a blank page and type every word yourself.
Scenario Comparison: When is the "Check" worth it?
The "True Gain" of AI depends on the stakes of your project. Here is how the time-save breaks down across different types of work:
1. Everyday Content (Emails, Briefs, Summaries)
The Workflow: You prompt the AI, it gives you a draft, and you "edit as you go."
The Gain: High. Since verification is built into your normal editing process, you save about 40–70% of your total effort.
2. High-Stakes Technical Work (Research or Legal)
The Workflow: AI generates a summary. You must then spend hours cross-referencing every claim against original sources.
The Gain: Low to Moderate. Deep fact-checking can take 2–4 hours for a single summary. In these cases, your time savings might only be 10–25%, but your quality of research is often higher.
3. Repetitive Tasks (Support or Coding)
The Workflow: AI suggests a solution; the human approves or tweaks it.
The Gain: Steady. Studies show a roughly 30% boost in productivity because you spend less energy on "how to say it" and more on "is this the right solution?"
The Secret: Shifting Your Effort
The real value of AI isn't just speed; it’s a shift in effort. Instead of spending your brainpower on "blank-page creation" (which is exhausting and slow), you move your energy to "critical review and decision-making." This is higher-value work. You aren't just a "checker"—you are the editor-in-chief, ensuring the message is accurate and human.
Rule of Thumb: For most content-heavy jobs, expect to save 30–70% of your time even after you’ve done a thorough human check.
Join the Conversation
What is one task in your weekly routine that takes up too much time, and how much faster do you think you could finish it if AI handled the first draft? Drop your thoughts in the comments—I’d love to see where you’re finding the biggest wins!
👉 Email Steven at swriston@pptconsultingservices.com or schedule a free consultation to start building your AI strategy.
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