Make the proposal specific
Assemble a proposal introduction around a deliverable, exclusions and next step. Give the client something concrete to inspect.
The sample uses prepared content; it does not generate AI answers. For an AI conversation, take the starter to ChatGPT.
Put this to work.
Use the starter in ChatGPT or work with Kevin on your own situation.
Try it in ChatGPT
Copy the starter, open ChatGPT and paste it into a conversation. Add only the details you want to share. Nothing is sent automatically.
Review the starter for ChatGPT
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Get guidance while you do the work, or ask Kevin to scope and deliver an agreed result.
Guidance and finished work are priced separately. You and Kevin agree the scope and price before work begins.
A working local example. Your changes stay in this page until you choose to save, copy or download. No AI model is called.
A draft to make your own
Read it aloud, check the details, and adjust anything that does not sound like you.
Your draft
- Hi Alex, Here is a focused way to address the reporting problem we discussed. The proposed project covers one recurring input file, one output summary, and visible checks for missing or duplicated records. Please confirm the intended reader, required measures, and acceptance checks before we finalize the quote. The written scope should make both the result and its limits easy to understand.
This local template assembles your words. Tone changes greetings and framing; it does not rewrite meaning or call an AI model. Nothing is sent.
For the moments like this.
You understand the client's problem, but your proposal draft has become a long list of capabilities. The client needs to know what they would receive, what information you require, and where the work ends. Try a fictional proposal introduction that explains a small result without promising outcomes beyond the available evidence.
What becomes possible
Build a short proposal introduction from the sample scope and your next agreement question. Check that the draft names something the client can inspect before a quote is finalized.
Sources, capability notes and how this example works
This local experience uses authored sample content and deterministic controls. Changing an input updates the example; no model runs, outside records are checked, or real-world actions are performed. Use the sources for the underlying AI capabilities and audience context, and the human check above when you apply the idea.
MBO 2025 AI report ↗Self-reported independent-worker use; the public AI summary has limited sampling detail. Accessed September 11, 2026.
ChatGPT capabilities overview ↗Current drafting, analysis, and explanation capabilities; local examples are authored. Accessed September 11, 2026.
Research checked September 11, 2026. Access to specific AI features depends on your account, plan and region. Sample amounts, timings, scores and feedback illustrate the method rather than claim measured outcomes.