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Food industry · Small team

Nutrition labels now take 2 minutes instead of 15.

A small food company calculated every nutrition label by hand. Now an agent drafts each label from the ingredients, and the product manager approves it before it is published.

Result

Time per product label

Before
15 min
After
2 min

Timed by the product manager. Average over the first 40 labels, 6 weeks after go-live.

Industry
Food industry
Team
Small team
Package
Operate
Layers built
DNABrainAgentsApp

01 · Starting point

Where they started

A small food company calculated the nutrition label for every new product by hand. The product manager carried the work and timed it: 15 minutes per label. That was the agreed baseline.

02 · What we built

Layer by layer

  • DNAHow the company sets serving sizes and rounding rules for nutrition labels, written down.
  • BrainA reference database of ingredient nutrition values.
  • AgentsA Label Drafting Agent drafts each label from the ingredients. The product manager approves it before it is published.
  • AppA simple dashboard where the product manager enters ingredients and receives the drafted label.

This case is relevant if:

  • You calculate labels, specs or compliance data by hand.
  • One person checks every number before it goes out.
  • New products wait on paperwork before they can launch.

03 · Inside the system

How a label gets made now.

  1. 01 · Enter

    The manager enters the ingredients in the dashboard.

  2. 02 · Draft

    The agent calculates the label from the reference database, using the company’s serving sizes and rounding rules.

  3. 03 · Approve

    The product manager checks the draft. Nothing is published without approval.

Agent PassportSummary

Label Drafting Agent

ObjectiveDraft the nutrition label from ingredient inputs
PermissionsMay draft and calculate label values. May not publish a label without approval.
AutonomyL2 — AI executes, human approves
KPITime per product label
ApproverProduct manager
EscalationIf an ingredient is not in the reference database, the agent stops and flags it to the product manager. Looks it up online and proposes.
Next case · Public sector · Policy office A ready draft for every institutional email, reviewed by a person. Read the case → All case studies →

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