The Scenario
You are an email developer. It is Thursday afternoon. Eight new transactional email drafts are in an Excel workbook, one raw email source per row in column A of the 'Spam Tests' tab. They need spam scores before you deploy to production on Friday.
Your deliverability team's rule: anything above 5.0 on the SpamAssassin scale does not go to production without a rewrite. You need scores, rule counts, and the highest-risk rule name for each draft.
The slow version:
- Open a spam check tool, paste draft 1 in, wait, copy the score into the workbook
- Repeat eight times
- Manually note the highest-risk rule for each
- Add a flag column by hand
- Realize draft 4 was pasted incorrectly, redo it
- Forty minutes of copy-paste that adds zero creative value.
The fast version is one prompt.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Excel workbook that submits each draft to Postmark's spam check API and writes the scoring results back into the workbook, with a flag column for high-risk drafts.
Open the SheetXAI sidebar and type:
For each raw email source in column A of the 'Spam Tests' tab, call the Postmark spam check API and write the spam score into column B, the rule count into column C, and the highest-risk rule name into column D. In column E, write 'HIGH RISK' for any row where the score exceeds 5.0, otherwise leave blank.
SheetXAI submits each raw email source to Postmark's spam check endpoint and writes the four output columns. The HIGH RISK flag tells the team exactly which drafts need attention.
What You Get
A spam scoring table with per-draft results:
- Column B — spam score
- Column C — total rule count triggered
- Column D — the highest-risk rule name
- Column E — 'HIGH RISK' for scores above 5.0
The deliverability team can sort column E and see all flagged drafts immediately.
What If the Data Is Not Quite Ready
Email draft workbooks are messier than they look.
When some rows are empty because drafts are still being written
Three of the eight slots in column A are blank.
For each non-blank row in column A of the 'Spam Tests' tab, call the Postmark spam check API and write score, rule count, and top rule name into columns B, C, and D. Skip blank rows.
When the raw email sources have Windows-style line endings
Copy-pasted email source from Outlook sometimes includes \r\n line endings that confuse the API.
Normalize line endings in column A of the 'Spam Tests' tab to Unix-style before submitting each row to the Postmark spam check API. Write score into column B, rule count into column C, and top rule name into column D.
When the team wants the top 3 rules per draft, not just the worst one
The deliverability lead wants to understand the pattern of failures.
For each row in column A of the 'Spam Tests' tab, call the Postmark spam check API. Write the total score into column B and list the top 3 rules sorted by individual score descending into columns C, D, and E. Flag rows with total score above 5.0 as 'HIGH RISK' in column F.
When you need scoring, flagging, triage notes, and a summary all in one shot
The production review meeting is in two hours.
For each raw email source in column A of the 'Spam Tests' tab, call the Postmark spam check API. Write spam score into column B, rule count into column C, top rule name into column D. Flag 'HIGH RISK' in column E for scores above 5.0. In column F, write a one-sentence triage note for each HIGH RISK row based on the top rule. Add a summary row at the bottom with average score, total HIGH RISK count, and the most common rule across all drafts.
The pattern: instead of scoring drafts and writing triage notes separately, you ask for the full review in one prompt.
Try It
Get the 7-day free trial of SheetXAI and paste your raw email drafts into a workbook tab, then ask it to score them against Postmark's spam API. The Postmark integration is included in every SheetXAI plan. For related workflows, see how to pull Postmark daily send stats in Excel or the Postmark in Excel overview.