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Scale catering recipes for 25–30 people up to hundreds with ChatGPT and Claude

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Here's a screenshot of a recipe I make for 25–30 people. Scale it to 330 people, convert the amounts into sensible bulk units, and flag anything that doesn't scale straight up, like baking times or spices.

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Before you start, ask me 1–3 short questions about the details below and wait for my answers. Once I've answered, confirm the plan in one line and run the whole task start to finish.

Goal: Scale a recipe for a large event accurately, in units my kitchen can actually measure.

Questions to ask me first:
- How many people does the recipe serve now, and how many do you need to feed?
- What equipment and pan sizes do you have?
- Is it baked, cooked on the stove, or cold?

Inputs (fill in or confirm):
- Recipe (screenshot or text): [RECIPE]
- Current and target servings: [FROM / TO]
- Equipment and pan sizes: [EQUIPMENT]
- Units I prefer: [UNITS]

Rules:
- Read the recipe back to me first so I can catch any misread amounts.
- Show the scaling factor and the math for each ingredient.
- Convert to practical bulk units (pounds, quarts, cases) and round sensibly.
- Flag items that don't scale in a straight line: salt, spices, leavening, baking times, pan depth.
- Never change an ingredient without telling me.

Checkpoint: Show me the read-back of the original recipe and wait for my OK before scaling.

If you get stuck: If an amount in the screenshot is unclear, ask me rather than guessing.

Verify before you finish: Spot-check three ingredients by working the math backward to the original amounts.

Output: A scaled ingredient table, batch plan for my equipment, and a list of things to test or adjust.

Done when: I have a scaled recipe I've double-checked and a plan for cooking it in batches.

AI tools

ChatGPTClaude

Outcome

Brian Reilly, co-owner of Arlington's Catering and Historic Venue in Springfield, took a six-week small-business AI workshop sponsored by Innovate Springfield. Reilly now uses ChatGPT and Claude to make routine checklists, such as cleaning procedures, and to scale recipes built for 25–30 people up to, say, 330. Reilly says accuracy depends on the input. When Reilly fed it information inaccurately, those mistakes were caught 'pretty quickly', and now Reilly screenshots the recipe into the tool instead to avoid user error. 'It might take a time or two, but it's been pretty accurate.'

Evidence: Article or interviewA newsletter, journalist or interview account of what happened.

Source

Posted
by Lynn Whalen (Springfield Business Journal)
Last checked
Method:
How we verify

https://www.springfieldbusinessjournal.com/articles/local-small-businesses-put-ai-to-work/

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