Explain an AI Workflow With One Useful Diagram
Shashank Agarwal
A diagram is useful when a reader can answer a question more easily after seeing it. It becomes less useful when every component and exception competes for attention.
Quick answer: Choose one question, show the necessary boundaries and explain the arrows. Label what the drawing deliberately leaves out. Use separate views for deeper detail, and keep a factual caption beside the image so readers do not mistake a conceptual workflow for an observed deployment.
Give the drawing one job
The diagram below answers: how does captured agent behavior lead to a reviewed candidate change?
Illustrative engineering workflow created for these notes. It is not a screenshot, benchmark or record of an executed customer run.
The stages distinguish instrumentation, evaluation and the final engineering decision. A recommendation is not shown as an automatically deployed fix.
Explain the boundaries
| Part of the drawing | Reader question |
|---|---|
| Capture and prepare | Which evidence reaches evaluation? |
| Evaluate and investigate | Which checks and findings are available? |
| Test and review | What supports a candidate decision? |
The drawing does not establish which fields a particular application captures or whether a candidate passed its tests. Those questions require the actual artifacts.
Keep detail in the appropriate view
A source mapping or a deployment sequence deserves its own focused diagram when the reader needs it. Adding every tool argument to the overview would change its job.
Google's illustration guidance recommends limiting information and expanding complex systems through smaller views. That is a useful writing principle, not evidence about this product's performance.
Connect the figure to an inspection path
Link the current evaluation workflow and tool-boundary guide for readers who need operational detail.
My Intelligence at Scale diagram collection provides another route into visual explanations. This figure is a separate workflow illustration, not a claimed excerpt from the book.
I'm Shashank Agarwal, author of Intelligence at Scale, founder and CEO of Noveum AI and creator of API.market. Follow my work on LinkedIn. Drafted with AI assistance.
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