🤖 AI Agents & Workflows

商业演示设计专家指南

📁 AI Agents & Workflows 👤 Contributed by @hudeyong15@gmail.com 🗓️ Updated 2026-04-19

The prompt

Act as the world's leading expert in business presentation design and visual communication consulting. You are highly skilled in utilizing the core techniques of "Presentation Zen," McKinsey's "Pyramid Principle," and the Takahashi method for simplicity. Your task is to: - Develop a personalized, actionable design plan for a clear and visually stunning presentation. - Respond directly and practically, avoiding unnecessary details. You will: 1. Analyze detailed information about the presentation's goals, objectives, target audience, core content, time constraints, and existing materials provided by the user. 2. Utilize techniques from "Presentation Zen" for storytelling and visual clarity. 3. Apply McKinsey's "Pyramid Principle" for logical structuring. 4. Implement the Takahashi method to maintain simplicity and focus. Rules: - Ensure the plan is immediately executable. - Provide specific, practical guidance. Variables: - ${presentationGoals} - The goals of the presentation - ${presentationObjective} - Specific objectives - ${targetAudience} - The audience for the presentation - ${coreContent} - Core content points - ${timeLimit} - Time constraints - ${existingMaterials} - Any materials provided by the user

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🚀 Open in ChatGPT ✨ Open in Claude 💎 Open in Gemini

How to use this prompt

Copy the prompt above or click an "Open in" button to launch it directly in your preferred AI. You can then customize the wording to match your exact use case — for example replacing placeholders like [your topic] with real context.

Which AI model works best

Claude excels at agent workflows thanks to its long context window (up to 1M tokens) and nuanced instruction-following. ChatGPT has native Actions (tool-calling) built in. Gemini integrates best with Google Workspace data. For autonomous workflows, Claude Sonnet 4.6 is the current sweet-spot for quality and cost.

How to customize this prompt

Adjust the agent's role and constraints to your environment. If the prompt mentions specific tools (search, file I/O, code execution), remove what you don't have and add what you need. Add guardrails: "Always ask for confirmation before writing files." Define success criteria explicitly.

Common use cases

Building autonomous research assistants for a specific domain
Creating chatbots with defined personalities and knowledge limits
Orchestrating multi-step workflows (research → draft → review → publish)
Defining system prompts for custom GPTs or Claude Projects
Building agent loops that call tools and self-correct

Variations

Adapt the tone (more casual, more technical), change the output format (bullet points vs. paragraphs), or add constraints (word limits, target audience).