Using AI for documents, spreadsheets, and presentations

AI can draft prose in seconds, but office work rarely ends as prose in a chat window. The real deliverable is a Word document with hierarchy, an Excel workbook with formulas, or a PowerPoint deck that a colleague can edit. Getting there requires the AI to understand the source material, the audience, the file format, and the checks that make the result trustworthy.

Ask for the artifact, not just the content

“Write a project update” invites a block of text. “Create an editable Word project update in this folder” specifies the deliverable. Add the reader, source files, required sections, and quality bar to reduce the gap between a plausible draft and a usable file.

A good AI agent for Mac should return the actual file and a receipt of the sources and actions—not ask you to rebuild the artifact from pasted markdown.

AI for Word documents

Documents work well when the AI has a clear audience and information hierarchy. Specify the purpose, target length, voice, required sections, and whether the file should use an existing template.

Good tasks

• turn meeting notes into a decision memo;
• convert research into a cited brief;
• create a proposal from approved source material;
• redline or reorganize a draft while preserving its meaning;
• assemble a recurring report from a folder of updates.

Review checklist

• heading levels form a coherent outline;
• facts and quotes trace back to sources;
• tables fit the page and repeat headers when needed;
• links work and footnotes are readable;
• the document opens as an editable file, not a flattened image.

AI for Excel spreadsheets

Spreadsheet work needs more explicit correctness criteria because a polished sheet can still contain a quiet formula error. Define the input range, required calculations, treatment of blanks and duplicates, and one or two totals the finished workbook must reconcile.

Good tasks

• clean and normalize a CSV while preserving the raw-data tab;
• build a summary workbook with formulas and a data dictionary;
• categorize transactions and flag low-confidence rows for review;
• compare two exports and identify additions, removals, and changed values;
• create a scenario model with assumptions in clearly labeled cells.

Review checklist

• formulas—not hard-coded results—appear where recalculation matters;
• totals reconcile to the source;
• dates, currencies, percentages, and blanks are handled consistently;
• filters, frozen headers, widths, and number formats make the sheet usable;
• the original data remains available or unchanged.

Ask the agent to state which totals it used as checks. If a classification is subjective, request a confidence or review column instead of forcing every row into certainty.

AI for PowerPoint presentations

Strong decks begin with a narrative, not decoration. Give the AI the decision, audience, time limit, source data, and template. Ask for a slide outline before production when the stakes are high.

Good tasks

• turn an approved memo into a concise executive deck;
• convert research findings into a story with cited evidence;
• build a project kickoff deck from scope, timeline, and roles;
• refresh a recurring business review using the latest data;
• create speaker notes and an appendix alongside the main narrative.

Review checklist

• each slide communicates one idea;
• titles state the takeaway rather than naming the topic;
• charts use the correct range and make comparison easy;
• text is readable at presentation distance;
• sources appear in notes or a clearly connected footnote;
• the deck follows the supplied template without inventing a new visual system.

Ground every format in sources

For all three formats, separate source material from model judgment. Tell the agent which facts must come from provided files, which external sources are allowed, and where assumptions are acceptable. A useful instruction is: “Do not invent missing numbers. Mark gaps as ‘source needed’ and list them at the end.”

When web research is allowed, ask for direct citations near the claims they support. When only internal files are allowed, ask for a source note, sheet name, filename, or row reference that a reviewer can follow.

A reliable end-to-end workflow

1. Place the source files and any template in one task folder.
2. State the deliverable, audience, and quality bar.
3. Ask for an outline or proposed workbook structure on important tasks.
4. Let the agent create a new file; keep originals unchanged.
5. Open the file in Word, Excel, or PowerPoint and review the artifact.
6. Give one consolidated revision request tied to visible issues.
7. Save the successful instruction if the work will recur.

This is the same progression we recommend for automating Mac workflows with AI: bounded input, observable work, objective checks, then repetition.

Creating office files with Wavy

Wavy can create Word documents, Excel workbooks, and PowerPoint presentations directly in the folder you choose. You can attach source material, ask for public-web research with citations, inspect the task trace, and open the finished files from the result.

The format-specific work remains reviewable: use Word for language and hierarchy, Excel for formulas and data integrity, and PowerPoint for narrative and visual communication. Wavy does the production work; you keep the judgment.