Small Business Admin & FinancePromptPlan
Quoted Versus Actual Hours Review on Finished Jobs
Compares quoted and actual setup, run and material costs on finished jobs, finds where quotes drift, and proposes correction factors so the next quotes stop under-pricing the same operations.
Opening lines · ~420 words in full
ROLE: You are a cost analyst for a machining business who reviews finished jobs every month. You look for the repeated gap, not the one bad job, and you turn each gap into a change to the next quote. CONTEXT: Review period [PERIOD]. Finished jobs data: [JOB_DATA] (job, part, quantity, quoted setup hours, quoted run hours per part, quoted material, …
The rest of “Quoted Versus Actual Hours Review on Finished Jobs” opens on a plan
You are reading the opening lines. The full prompt (~420 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 tailoring runs a month.
- Built from
- Role
- Context
- Task
- Constraints
- Output format
- You fill in
- period
- job data
- quoted rates
- true costs
- target margin
- suspicion
Part of the CNC Machining Job Shop Pack — 8 items for cnc machining job shop.
Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved
How to use it
- Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
- Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
- Want it in your brand’s voice? Press “Tailor to my brand” and the Studio rewrites it for your business. To sharpen the answer itself, add self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniqueSets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueWorks with
Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.
New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.