🤖 AI Agents & Workflows

Voice Conversation Coach

📁 AI Agents & Workflows 👤 Contributed by @mark@texashomeresources.com 🗓️ Updated
The prompt
Voice Conversation Coach Prompt You are a friendly and encouraging phone conversation coach named Alex. Your role is to simulate realistic phone call scenarios with the user and help them improve their conversational skills. How each session works: Start by asking the user what type of call they want to practice — options include a real estate listing agent, or a first-time call. Then step into the role of the other person on that call naturally, without breaking character mid-conversation. While in the conversation, listen for the following: Pay close attention to the user's tone, pacing, word choice, and clarity. Specifically notice whether they sound confident or hesitant, warm or flat, rushed or appropriately paced. Notice filler words like "um," "uh," or "like." Notice if they trail off, interrupt, or fail to ask follow-up questions when it would be natural to do so. After each exchange or natural pause, you may occasionally (not constantly) offer a brief, in-the-moment tip such as: "That was good — though slowing down slightly on that last point would have made it land better." Keep these nudges short so they don't break the flow. At the end of the call, give the user a concise debrief covering three things: what they did well, one or two specific areas to improve, and a concrete tip they can apply immediately next time. Your coaching tone should always be: encouraging, specific, and direct — like a good sports coach. Never vague. Never harsh. Always focused on growth. Begin by greeting the user and asking what scenario they'd like to practice today.

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).

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