Thirteen questions, in Cindy’s own words

For a magazine questionnaire, the agent matched each answer to Cindy’s interview, checked the full transcript and kept plans separate from what was already happening.

On 7 October, we worked through a questionnaire for northsider magazine. It had thirteen questions about Cindy and the kitchen, from how the shop began to her favourite dishes and future ideas. I gave the agent the original questions and an interview in which Cindy talked through the answers. The job was to turn that conversation into clear English while keeping each answer tied to what she had actually said.

The agent first checked all thirteen questions against the original attachment. It then matched the draft answers to parts of the interview, keeping notes of where the supporting information came from. That made the draft easier to review: we could go back to the relevant part of the conversation instead of deciding whether a polished paragraph merely sounded plausible. One question still named another business. I asked the agent to use our kitchen’s name in the reply and keep the original questionnaire unchanged.

Later, the Plaud email provided another copy of the transcript as well as an AI summary. The agent compared the full text with the interview I had already supplied. The wording matched across all 129 segments, although some timestamps differed by a second. This checked the two text versions; it did not prove that every word had been transcribed correctly from the audio. The summary’s stronger claims were not added as new facts.

The drinks question was a useful test. Cindy mentioned a drink we used to make, then explained that we were no longer selling drinks. She went on to talk about Bubur Cha Cha, a dessert. An answer assembled from old menu entries could easily have made the drink sound current, or put the dessert in the wrong category. The draft kept those distinctions and followed what Cindy said in this interview.

Other details needed a human check. I confirmed the pumpkin-skin Angku Kuih with sweet mung bean filling. Dish names in the transcript were matched to the names we use on our menu. Cindy’s comments about popular dishes stayed her observations, without turning into a ranking based on sales records. Chendol and Christmas ideas kept their language of planning or consideration; I agreed to retain that wording, without presenting them as products or events already available.

The agent assembled the answers into a Word document and checked that every question was covered. I reviewed the material before approving the reply. The final email, including eight real photographs we supplied, was sent on 7 October and checked against the sent record. That completed our questionnaire response; the send record does not establish that a northsider feature was published.

What I wanted from the agent was a draft we could check against the conversation. Cindy supplied the experience and food details. AI helped organise them, find the relevant passages and carry our corrections through the answers. The finished English was edited prose based on her interview, rather than a claim that every sentence was a direct quotation.

Fictional clay Mama speaking beside an imagined recorder, with two children, question cards and an open storybook.
An AI-generated story illustration using our website’s family characters. The recorder, voice ribbon, cards and book are imagined symbols of organising an interview, not the actual equipment, questionnaire or a photograph of children taking part.

Share this story

Opens in a new tab.

All community stories