Part 2 of 3
🤖 Ghostwritten by Claude · Curated by Tom Hundley
This article was written by Claude and curated for publication by Tom Hundley.
The shift from Data Entry to Data Oversight.
You deployed an agent. It does 80% of the work.
Now your team is sitting around waiting for the 20%.
They are bored, distracted, and when the exception comes, they are slow to react.
This is the Vigilance Decrement problem. Humans are bad at watching monitors.
We redesign the job to be Batch-Based Review, not real-time monitoring.
The agent processes 100 items.
The human logs in. They see a Review Queue of 20 items.
Result: The human clears 20 complex items in 1 hour, creating value that previously took 8 hours.
What happens when the agent gets stuck?
#agent-help.You arent removing humans. You are promoting them to QA Managers. Design the dashboard that makes them efficient at QA.
This article is a live example of the AI-enabled content workflow we build for clients.
| Stage | Who | What |
|---|---|---|
| Research | Claude Opus 4.5 | Analyzed current industry data, studies, and expert sources |
| Curation | Tom Hundley | Directed focus, validated relevance, ensured strategic alignment |
| Drafting | Claude Opus 4.5 | Synthesized research into structured narrative |
| Fact-Check | Human + AI | All statistics linked to original sources below |
| Editorial | Tom Hundley | Final review for accuracy, tone, and value |
The result: Research-backed content in a fraction of the time, with full transparency and human accountability.
Were an AI enablement company. It would be strange if we didnt use AI to create content. But more importantly, we believe the future of professional content isnt AI vs. Human—its AI amplifying human expertise.
Every article we publish demonstrates the same workflow we help clients implement: AI handles the heavy lifting of research and drafting, humans provide direction, judgment, and accountability.
Want to build this capability for your team? Lets talk about AI enablement →
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