How to Use: Datadog Monitor Map from Project Inventory (No Invented Alert Volumes)

You pasted a messy Datadog inventory and need a clean deliverable without invented numbers. This PromptDig prompt turns only what you already listed into a structured map or checklist for observability research handoffs.

What this prompt does

It locks your inventory, version, workspace label, and domain fields, then builds a ledger plus a table that refuses fake metrics. Missing cells stay NOT IN INPUTS instead of guessing.

Use it when you already have real stubs from Datadog and want a teachable map for this job, not a generic template swap from another vendor. The Generate steps name Datadog nouns on purpose so a title swap into another category would fail the swap-title test.

How to fill the brackets

1. Paste your Inventory with concrete nouns only. Prefer two labeled rows so the example shape stays visible after you swap names.
2. Lock Version to what you actually run. If you do not know the version, write unknown rather than guessing a marketing release name.
3. Quote Workspace and SpecNames when known; otherwise UNKNOWN.
4. Fill the three domain fields shown in the prompt. Leave UNKNOWN cells alone instead of inventing polish.
5. List Banned words and Never invent rules that match the risks in your org wiki.

Example shape

The included example_input uses Harbor Quay and River Ops labels so you can see how two inventory rows become a checklist without inventing metrics. Swap those labels for your own before you run it. Keep Cap style limits if you add any later. Prefer a short second pass that only reorders rows over asking for a longer rewrite that invents missing fields.

Why the honesty rules matter

Teams lose trust when a model invents alert volumes, metric thresholds, API keys, or SLO percents. This prompt quotes Banned and Never hits, then cuts them. An honesty ledger at the top makes the refuse list easy to audit in code review or design critique.

If a teammate asks for a number that was never in the paste, the correct answer is NOT IN INPUTS plus a gaps bullet. That habit keeps observability research handoffs accurate when the inventory is incomplete.

Step by step run

Copy the prompt into ChatGPT, Claude, or Gemini. Replace every bracket with your locked values. Run once, then check the honesty ledger against your paste.

If the model invents a metric, quote the Banned or Never line that forbids it and re-run. Save the accepted map next to the export that produced the inventory so your team can reopen the audit trail next week without guessing what changed.

When you publish the map to a wiki, keep the Version lock in the same paragraph as SpecNames. Reviewers then see which Datadog surface the inventory claimed to describe.

When to skip this prompt

Skip it if you do not have a real inventory yet. Skip it if you need legal, clinical, or financial advice. Skip it if you want marketing copy with testimonials. This job is a compiler for pasted stubs, not a research agent that browses the web for missing facts.

Skip it if your goal is a full migration plan with invented timelines. The refuse list is there to stop that drift. Come back when you have at least two concrete inventory rows and a Version you can defend.

Quality checklist before you trust the output

Confirm SpecNames match your source. Confirm Version matches what you run. Confirm every numeric claim appears in Inputs. Confirm the refuse list names the invent risks you care about. Confirm Format matches what your wiki expects.

Confirm the Generate steps still teach Datadog specifically. If you could swap the title for another category and the body would still read fine, tighten the domain nouns before you trust the map. Confirm example_output stays under the character cap and still shows a real deliverable table.

Try it on PromptDig

Open Datadog Monitor Map from Project Inventory (No Invented Alert Volumes) on PromptDig, replace every bracket, and run it on ChatGPT, Claude, or Gemini.

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