Guides OpenAI

Run Your Workday by Voice With ChatGPT (Chat, Work & Codex)

In this guide, you will learn how to use ChatGPT Voice to turn an approved request into a reviewed PDF, save it to shared Google Drive, and prepare a handoff for your team without touching your keyboard.

beginner 5 steps

Introduction

In this guide, you will learn how to use ChatGPT Voice to turn an approved request into a reviewed PDF, save it to shared Google Drive, and prepare a handoff for your team without touching your keyboard.

Step-by-step 5 steps

Instructions

  1. Step 1 of 5

    Set Up a Private Project and Start Voice

    Open the ChatGPT desktop app and create a private project for this workflow. In the demo, the project is called University Demo. Keep the project as the working space for drafts, prompts, and review history.

    Start a new voice chat before you send your first message. This gives you a live conversation where you can interrupt, ask follow-ups, and change direction while work continues. You can also keep talking while ChatGPT works in the background and come back to check progress.

    ChatGPT voice project setup
    ChatGPT voice project setup
    Pro tip: Start a new voice chat before sending the first message. If you begin in another mode, the microphone works as dictation instead of a live voice conversation.
  2. Step 2 of 5

    Connect Only the Sources and Destinations You Need

    Think of the workflow as three separate jobs:

    • Source: the approved folder, document, analytics view, or meeting note ChatGPT may read.
    • Storage: the shared Google Drive folder where the approved deliverable will live.
    • Handoff: the test Slack, Teams, or Gmail destination where a teammate will receive the link.

    Use the + control to add a missing connection, then check what each connection can actually do. A source that can be read is not automatically approved for writing files or sending messages.

    Connected ChatGPT sources
    Connected ChatGPT sources

    For a safe first run, use fictional or demo data and a test destination. Tell ChatGPT the exact scope before it starts:

    Prompt
    Work in the private project "University Demo."
    
    Read only these approved demo sources:
    - the connected Google Drive folder "Demo Guide Context"
    - the fictional meeting note "Weekly Content Review - demo notes"
    
    First, list the sources you can access and summarize the workday context in three bullets. If either source is missing, stop and ask me. Do not search other files, chats, accounts, or connected services.
    
    Do not create files, send messages, save to Drive, or change anything external yet.

    Once the scope is correct, scaffold the project for repeatable work:

    Prompt
    Scaffold this private project for a simple draft-to-review-to-final reporting flow.
    
    Keep working drafts in Markdown, make the review gate explicit, and document the approved sources, the shared Drive destination, and the draft-only messaging rule. Do not create files, save to Drive, or send messages until I approve the next step.
  3. Step 3 of 5

    Plan the Workday Before You Build the Deliverable

    Use Voice to ask for a short plan from the approved context. The goal is to make the next deliverable obvious before you ask ChatGPT to create anything.

    Prompt
    Using only the approved demo sources, give me a concise plan for today.
    
    Return:
    1. the three highest-priority actions in order
    2. the one decision that needs human approval
    3. the first private-project deliverable to make for [TEAMMATE_NAME]
    4. the external action you will wait to take until I approve it
    
    Keep this to the demo context. Do not use traffic, newsletter conversion, revenue, customer, or other sensitive metrics.

    If the plan points to a report, confirm its purpose, audience, source, required fields, and review gate in one sentence. That small pause keeps the tool from turning an ambiguous request into an external action.

  4. Step 4 of 5

    Draft and Refine the Markdown Brief

    Now ask ChatGPT to create the working file in the private project. Markdown is a good intermediate format because you can scan the structure and ask for precise edits before creating a polished PDF.

    Prompt
    Create `top-guides-video-engagement-brief.md` in this private project for [TEAMMATE_NAME].
    
    The file must contain only a Markdown title and one table with exactly these columns:
    - Guide title
    - Video start rate
    - Video completion rate
    
    Use only the approved fictional demo values from the sources. If a value is missing, use `[demo value]` instead of guessing.
    
    Do not include traffic, newsletter conversion, revenue, audience, customer, or any other metric. Do not save to Google Drive or send a message yet.

    The Markdown file is the automatic output of this request. You do not need to ask ChatGPT to create a separate “draft artifact” after it finishes. Read the file, then refine it by voice:

    Prompt
    Read `top-guides-video-engagement-brief.md` and tighten it for a teammate who needs a fast review.
    
    Keep only the title and the exact three table columns: guide title, video start rate, and video completion rate. Preserve only approved fictional demo values, remove every other field or explanation, and show me the final Markdown for approval.
    
    Do not make external changes.

    Approve the exact Markdown before you export it. If the source data is incomplete, keep [demo value] rather than letting the tool fill the gap with a guess.

    Pro tip: Refine the Markdown before making the PDF. It is easier to catch extra fields or a wrong table structure in plain text than in a finished document.
  5. Step 5 of 5

    Save the Approved PDF and Prepare the Handoff

    When the Markdown is correct, approve the external save explicitly. Ask ChatGPT to create one PDF and save an exact copy to the shared Drive folder:

    Prompt
    The final brief is approved.
    
    Convert `top-guides-video-engagement-brief.md` to one PDF and save an exact copy to `[DEMO_SHARED_DRIVE_FOLDER]` in the connected shared Google Drive.
    
    Create no other files, overwrite nothing, and return the Drive link when the save is complete. Keep the private project as the working space and the Drive copy as the durable shared record.

    Use the returned link to prepare the teammate handoff. Keep the message short and free of metric values:

    Prompt
    Using only the approved demo meeting-note context, prepare one concise message to [TEAMMATE_NAME] for [DEMO_SLACK_CHANNEL] or [DEMO_GMAIL_THREAD].
    
    Include:
    - the Google Drive link to the approved brief
    - that the brief contains the three agreed fields only
    - the next review choice this helps [TEAMMATE_NAME] make
    
    Do not include any metric values and do not contact anyone else. Show me the exact message for approval before it is sent.

    Review the message in Slack, Teams, or Gmail and send it yourself. The durable pattern is simple: the private project holds the work in progress, Drive holds the approved record, and the message carries the record to the person who needs to act on it.

    Pro tip: Make messaging draft-only by default. Review the populated message in the destination app and click Send yourself so a mistaken thread or extra detail does not go to the team.

You're done

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Overview Back to the steps

Background and context

Who This Is Useful For

  • Founders and operators who need to turn an approved request into a finished internal deliverable.
  • Consultants and client-service teams who build repeatable reports and handoffs from shared context.
  • Anyone who wants to replace scattered files and app switching with a voice-first workday loop.

What You Will Build

You will build a private-to-shared reporting loop that produces top-guides-video-engagement-brief.md, converts the approved Markdown into a PDF, and prepares a reviewable handoff for a teammate.

What You Need To Get Started

  • The ChatGPT desktop app with Voice.
  • Some approved data and a reporting need.
  • Google Drive for the finished file and Slack or Teams for the handoff.

Going Further

Once one report type works, turn the tested flow into a reusable skill. Keep the report-specific source, fields, review gate, destination, and messaging rule inside the skill, then run it with fresh data:

Prompt
Turn this approved workflow into a reusable skill for [REPORT_TYPE].

On each run, read only [APPROVED_SOURCES] for the last [LOOKBACK_DAYS] days, create or update a Markdown report with [REQUIRED_FIELDS], pause for my approval, export the approved version to [SHARED_DRIVE_FOLDER], and prepare a draft handoff for [DELIVERY_DESTINATION]. Keep all external messages draft-only unless I explicitly approve the final send.

You can reuse the same loop for client updates, content reviews, operating reports, and other deliverables that need a source, a reviewer, a durable home, and a clear next decision.