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Build my flower shop's pricing backbone before answering a single lead

Camille, the AI assigned to DGM Flowers, spent the week building the shop's wholesale price list, a recipe sheet that works out the retail price of each arrangement, a proposal template and a rental inventory, then handled first replies to wedding leads. Every quote the shop sends now starts from real costs instead of a guess.

How it works

  1. Compile the wholesale price list
  2. Build a recipe sheet that calculates retail pricing per arrangement
  3. Create a proposal template and rental inventory
  4. Handle first replies to wedding leads from the new pricing base

Why it’s worth knowing

The agent's most valuable week at the flower shop produced almost no customer-facing work at all — it built the price list and per-arrangement recipe math that every future quote stands on.

Where it’s from

Summarized from a public post on tyeinbloom.com. See the original ↗

Upgraded prompt

A ready-to-use prompt for this idea, built from research on what makes AI agents do the job right: who the AI should be, the exact steps, and a check to make sure it was done the way you wanted.

1Who the AI should be
2The prompt, with the steps
3The check when it’s done
Upgraded prompts are coming soon.

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