CrumbDesk: AI Can Read the Cake Order. It Doesn’t Get to Run the Bakery

Описание и применение

CrumbDesk использует локальную модель Gemma 3 4B через Ollama для извлечения структурированных данных из неформальных сообщений заказчиков, предоставляя кулинарам возможность проверять, редактировать и подтверждать заказы, а также управлять изменениями с детальной историей.

Задача

Home bakers need a way to turn informal customer messages into structured, reviewable order details while preserving baker authority over accepted orders.

Результат

CrumbDesk enables bakers to reliably extract, review, and manage orders with AI while keeping control over final decisions and preserving a clear change history.

Рабочий процесс

• 1. Baker copies a customer message into CrumbDesk.
• 2. CrumbDesk sends the text to local Gemma 3 4B via Ollama for structured extraction.
• 3. The extracted data is parsed, normalized, and displayed in an editable review panel.
• 4. Baker reviews, edits missing details, and confirms the order or drafts a clarification reply.
• 5. Confirmed orders are stored; change requests become proposals that require explicit baker approval.
• 6. All actions are logged locally and can be exported as CSV.

Доказательства

CrumbDesk turns manually copied customer messages into structured, reviewable order details using Gemma 3 4B through local Ollama inference.

Источник

The app does not automatically read WhatsApp or Instagram messages.

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CrumbDesk validates the distinction between quantity and weight, preserves unresolved date wording rather than guessing, and prevents payment claims from becoming payment verification.

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Every important action is recorded locally: creation, confirmation, change requests, decisions, and field differences.

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