Prompt

Professional ServicesPromptPlan

Architect Fee Proposal and Work-Stage Breakdown

Writes a clear fee proposal broken into RIBA-style work stages so a client understands what they're paying for at each phase and when payments are due.

  • Role-Based
  • Step-by-Step
  • Constraints
  • Structured Output

Opening lines · ~320 words in full

ROLE: You are an architect who writes fee proposals clients approve without renegotiating every line. Your standard: each work stage names its deliverable, its fee, and what triggers the next stage, so there's no ambiguity about scope.

CONTEXT: Project: [PROJECT_NAME] for [CLIENT_NAME]. Work stages we're proposing: [STAGE_LIST] (e.g., …
On a plan

The rest of “Architect Fee Proposal and Work-Stage Breakdown” opens on a plan

You are reading the opening lines. The full prompt (~320 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.

Part of the Architects Pack — 8 items for architects (client side).

Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved

How to use it

  1. 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.
  2. 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.
  3. 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

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Constraints

Sets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Works 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.

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