AI workflow MCP-native Claude · ChatGPT · Gemini · MCP

AI Proposal Drafter

Paste a messy discovery call and get back a first-draft Statement of Work in your studio's voice, with every vague part of the call flagged as a question before it drafts a single line.

Instant download for members · yours forever

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What it does

Runs on Claude, ChatGPT or Gemini.
Reads call transcripts, email threads, or written notes.
Builds a rate card with you (if you don't have one), using public benchmark sources.

The Breakdown

The build steps, prompt architecture, and a worked walkthrough. Open to members.

01 Gap Analysis runs before the draft, not after

02 The five locked sections it writes into

03 The scope filter: what's in the fee, what's an add-on

04 Where the price comes from, and where it refuses to guess

05 A worked run, and the voice it borrows

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How to install

Every workflow runs on the AI you already use. Pick your platform; each setup takes a couple of minutes.

01 Claude Code MCP · recommended

One-line install. Registers as a project-scoped MCP server. No restart needed.

Unzip the bundle into your project root.
Run the install command — Claude Code adds the server to .mcp.json and reloads automatically.
Type /mcp to confirm the connection. Say "draft an SOW from this transcript" to run.

claude mcp add ai-proposal-drafter --command node --args ./ai-proposal-drafter/mcp/server.js

02 Claude Desktop MCP-native

Paste a server entry into Claude Desktop config and the skill loads on next launch.

Open claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\).
Add the snippet below under mcpServers.
Quit and reopen Claude Desktop. The skill appears in the tools tray.

{
  "mcpServers": {
    "ai-proposal-drafter": {
      "command": "node",
      "args": ["/absolute/path/to/ai-proposal-drafter/mcp/server.js"]
    }
  }
}

03 Claude.ai Projects Paste-in

Install as a Project: SKILL.md → Project Instructions, knowledge → Project Knowledge.

Create or open a Project on claude.ai.
Paste SKILL.md into Project Instructions.
Upload every file from /knowledge/ into Project Knowledge.
Open a chat in the Project. Say "draft an SOW from this transcript".

04 ChatGPT Project or Custom GPT

Paste-in via Project files, or build a Custom GPT for the team picker.

In ChatGPT, go to Explore GPTs → Create.
Paste SKILL.md into Instructions.
Upload /knowledge/ files into the Knowledge field.
Save. Open the GPT and say "draft an SOW from this transcript".

05 Gemini Gem

Create a Gem with the skill brain in its instructions field.

Open Gemini → Gems → Create a new Gem.
Paste SKILL.md into the instructions field.
Upload the knowledge files.
Save and open the Gem. Say "draft an SOW from this transcript".

Read the full install guide

Stacks with

These AI workflows are designed to chain together. Run one's output through another and you get a real production pipeline.

AI Editor In Chief
Already use AI Editor In Chief from MWM Issue 02? Point AI Proposal Drafter at your voice-fingerprint.md and the SOW prose is shaped through your rule set automatically.
No fingerprint? AI Proposal Drafter uses your tone setting (Formal/Corporate, Collaborative/Creative, your own description, or a tone summary mirrored from a past SOW you paste). You can wire up the fingerprint any time later.