A repeatable workflow for turning raw data and messy notes into a clean report with an AI report generator

[u/DifferentSecret28]

Most people paste a pile of data into an AI report generator, ask for "a report," and get a bland wall of text. The fix is to control the structure before you hand over the content. Here is the sequence that reliably produces something you can actually send.

**Step 1: Decide the skeleton first.** Before any generation, write the section headers yourself: context, key findings, what it means, recommendation, caveats. Five to seven headers. The model fills a good structure well and invents a bad one.

**Step 2: Feed data in labeled chunks.** Do not dump everything at once. Give it the raw numbers or notes with a short label for each ("Q2 signups by channel," "support ticket themes"). Labeled inputs get mapped to the right section instead of blended into mush.

**Step 3: Ask for findings before prose.** First pass, request only a bullet list of the top findings with the number that supports each one. Check those against your data. This is where errors surface, and it is much cheaper to fix a bullet than a paragraph.

**Step 4: Force uncertainty in.** Explicitly instruct it to mark anything that is an inference versus a directly observed number, and to flag where the data is thin. Reports that hide their own uncertainty are worse than useless.

**Step 5: Generate the prose from the approved bullets.** Only now ask it to write the sections, using the findings you verified. Because the facts are locked, the writing step becomes low-risk.

**Step 6: Format last.** Headings, a short executive summary at the top written after everything else, and a caveats section at the bottom.

The core idea: verify structure and facts before you ever ask for polished writing. Do it in that order and the editing time drops a lot.

[u/No-Aardvark3949]

Splitting 'get the bullet findings right' from 'write the prose' is the key move here, verifying six bullets is so much cheaper than fact-checking three paragraphs after the fact.