> ## Documentation Index > Fetch the complete documentation index at: https://docs.deepvista.ai/llms.txt > Use this file to discover all available pages before exploring further. # Set Up an X Posting Workflow and Post It with Buffer CLI > Generate an X posting workflow from a single prompt, extend it in plain language, and publish approved drafts to X using the Buffer CLI. ## Overview By the end, DeepVista will research, draft, and hold X posts for your review, then publish them for you — from a single prompt, with no manual scheduling. DeepVista can turn one well-structured prompt into a complete X posting workflow: it researches source content, drafts post variants in your brand voice, holds them for your review, and publishes to your chosen channel. This tutorial walks through generating the workflow, adding a step, and publishing to X with the [Buffer CLI](https://cli.deepvista.ai). ## Prerequisites Before you start, make sure you have: 1. A DeepVista account with an active project 2. A source of content to draw from (a URL, newsletter, or content type) 3. The Buffer CLI installed and authenticated, with your X (Twitter) channel connected in Buffer ## Step-by-step guide Paste the following prompt into DeepVista chat: ```text theme={null} Create an X posting workflow for my company. ``` Add a line defining the themes you want the workflow to prioritize, such as AI/ML, fundraising, GTM, or technical deep-dives. This sharpens what the research step surfaces. DeepVista generates the full workflow from this prompt. Every draft pauses for your review before anything is published. DeepVista automatically searches your company context to create a personalized workflow. DeepVista generating a workflow from a single prompt The workflow appears in the chat output. Click it to open the full workflow in the right panel. Workflow card in the chat output Full workflow displayed in the right panel You can extend the workflow at any time. Open chat and describe the new step using this pattern: ```text theme={null} Add a step after [existing step] that [does what]. ``` For example: ```text theme={null} Add a step after "Draft review" that publishes the approved draft to X using the Buffer CLI. ``` DeepVista handles the technical wiring. You only describe the step. Adding a workflow step in plain language First, find the channel ID for your connected X account: ```bash theme={null} buffer channels list --fields 'items.{id,service,name}' --output json ``` Listing Buffer channels to find the X channel ID Then tell DeepVista which channel to publish to. Tell DeepVista: ```text theme={null} Publish approved drafts to X using the Buffer CLI, channel ID: [paste your channel ID] ``` DeepVista wires the publish step to build a Buffer payload and validate it before sending: ```bash theme={null} buffer posts create --json "$payload" --dry-run ``` Dry-running the Buffer post payload before publishing `--dry-run` validates the payload with no API call — DeepVista runs this check on every draft before the real publish, so a malformed post never reaches X. Once the dry run passes, the workflow sends the real request: ```bash theme={null} buffer posts create --json "$payload" --output json ``` Buffer CLI publishing the approved draft to X Click the **Run** button to trigger the workflow. Run button on the workflow panel DeepVista populates a predefined prompt that starts the run. Predefined prompt that triggers the workflow Workflow run in progress Workflow run output with draft for review Once you approve the draft, the workflow publishes it to X via the Buffer CLI. ## Next steps Explore more tutorials in the DeepVista documentation. This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.