My Blog

Tag: WhatsApp

  • Marketing & Lead Gen: 讓 AI 每日自動匯報廣告數據到 WhatsApp：Skill-Wise 定時任務教學（Manus Project 權限）

    Watch on YouTube: https://www.youtube.com/watch?v=sjOGyCwOeIY

    Channel: 阿石OMP

    Overview of the Skill‑Wise timed‑task tutorial

    The video from 阿石OMP demonstrates how to set up an automated daily report that pulls advertising performance data, summarizes it with AI, and pushes the result to WhatsApp using Skill‑Wise’s timed‑task feature within a Manus project. The presenter walks through the entire workflow—from account connection to scheduling and safety controls—while highlighting additional platform features and upcoming AI‑focused courses.

    What the video covers

    The tutorial begins with logging into Skill‑Wise and verifying that all relevant ad platforms (e.g., Facebook) are correctly connected. It then shows how to create or select a Manus project that will host the timed task. Inside the project, the user defines the AI‑driven action: summarizing yesterday’s ad metrics and delivering the output to a WhatsApp destination. The presenter explains how to set a daily trigger (e.g., 9 AM), optionally add an end date, and activate an approval step that requires manual confirmation before the AI sends the message. Finally, the video touches on language options, regular feature updates, photo‑sharing capabilities, and two upcoming middle‑income fund AI courses that include free tools, VPN access, and Alibaba resources.

    Step‑by‑step walkthrough

    • Log in and connect accounts – Access Skill‑Wise, navigate to the connections page, and ensure each advertising account (Facebook, etc.) is linked accurately.
    • Select or create a Manus project – Either open an existing project or create a new one that will serve as the container for the timed task.
    • Define the AI task – Inside the project, choose the timed‑task option, write a prompt that instructs the AI to summarize the previous day’s ad performance, and pick the AI model you wish to use.
    • Set the schedule – Configure the trigger to run daily at 9 AM. If desired, specify an end date after which the task will stop automatically.
    • Enable the approval mechanism – Turn on the approval step so that, before the AI sends the WhatsApp message, you receive a confirmation prompt that you must accept.
    • Choose the output destination – Select either a personal WhatsApp chat or a WhatsApp group as the target for the AI‑generated report.
    • Review permissions – Consider the privacy implications, especially when sending to a public group where unknown members could potentially interact with the automated flow.
    • Test and activate – Run the task manually to verify that the summary appears correctly in WhatsApp, then switch the schedule to active mode.
    • Provide feedback – Use the comment section of the video to request new features, report issues, or share experiences.

    Tools and numbers mentioned

    • Platforms: Skill‑Wise, Manus, WhatsApp, Facebook (as an example ad source).
    • Schedule example: daily at 9 o’clock.
    • Safety feature: approval function that requires a confirmation message before execution.
    • Additional UI options: Chinese language interface, daily feature updates, photo‑sharing capability.
    • Related offerings: two upcoming AI‑focused middle‑income fund courses that include free tools, VPN access, and Alibaba resources.

    Caveats and hype check

    The presenter emphasizes the convenience of automating ad‑report delivery but does not quantify any revenue impact, ROI, or guaranteed time‑savings. Claims about workflow efficiency are presented as anecdotal rather than backed by empirical data. There is no mention of affiliate earnings or any financial incentive tied to the described setup. Users should weigh the practical benefits against the need to manage permission risks, particularly when the output is directed to a public WhatsApp group where unintended interactions could occur.

    “if your WhatsApp group is your own colleagues it doesn’t matter; if you put a public group some unknown people have a chance to make your A pull to do something.”

    Concrete next actions

    • Log into your Skill‑Wise account and verify that all ad platforms you wish to monitor are properly connected.
    • Create a new Manus project or pick an existing one that will host the timed‑task workflow.
    • Inside the project, configure a timed task:
      • Set the trigger to repeat daily at 9 AM (or another preferred time).
      • Write an AI prompt that summarizes the previous day’s ad metrics.
      • Select the AI model you want to use.
      • Designate WhatsApp (personal chat or group) as the output destination.
      • Activate the approval step so you receive a confirmation message before the AI sends the report.
    • Perform a manual test run, check the WhatsApp delivery for accuracy and formatting, then enable the scheduled execution.
    • Monitor the first few automated runs to ensure the approval prompt appears as expected and that no unintended recipients receive the message.
    • Visit the video’s comment section to ask questions, request additional features (e.g., support for other ad platforms, alternative messaging apps), or report any issues you encounter.
    • If interested, explore the linked AI‑focused middle‑income fund courses mentioned in the video for free tools, VPN access, and Alibaba resources.

  • Grok Bot: Claude AI + Grok Bot = $61,000/month

    Channel: Ritesh Verma

    Introduction

    Ritesh Verma’s video explains how he combines Claude AI as the strategic “brain” with Grok Bot as an operational “computer‑using” employee to run an AI‑driven consulting business. He claims the setup generated roughly $61,000 in revenue over the last 30 days while he traveled to four countries.

    What the video covers

    The presentation walks through the architecture of the AI employee team, the specific roles Claude and Grok Bot play, how the team is built and trained, and the concrete workflows used for lead generation, advertising, and content creation. It also shares the tools involved, example numbers, and a set of action items for viewers who want to replicate the model.

    Step‑by‑step walkthrough

    • Claude as the brain – Claude designs the overall strategy, creates system prompts, and defines the organizational structure. In the video Claude writes a COO‑builder prompt for Verma’s consulting company, Agent Rise.
    • Grok Bot as the operator – Grok Bot runs a personal computer and executes tasks inside the business (WhatsApp messaging, Meta Ads management, content repurposing, etc.) rather than relying solely on API‑only chat.
    • Building the org chart – Using Claude’s COO prompt, Grok Bot proposes a structure with managers and individual contributors (ICs) across sales, client acquisition, content, and scaling. Verma mentions an example org chart of roughly 4 managers and 11 ICs (about 16 seats). He removes an AI “closer” role and adds a short‑form script writer.
    • Training Grok Bot employees – Skills are sourced from a Claude Skills zip file (script writing, repurposing, director, id8). Additionally, a Google Drive voice profile built from the highest‑converting YouTube scripts is used to align the bots’ tone with proven messaging.
    • Speedy SDR on WhatsApp – Grok Bot monitors a raw lead sheet. If a lead appears only in the raw data and has not yet been booked (i.e., not on the lead tracker), Grok Bot sends a WhatsApp message. Leads that already have a booked call are skipped to avoid duplicate outreach.
    • Ads manager workflow – A Meta Ads MCP/developer app with a system‑user token (ads_read, ads_management) lets Grok Bot audit campaigns daily. Under‑performing ads are paused or killed. Verma cites an example where the cost per acquisition (CPA) hovered around $30.
    • Scaling rule – Before adding any new hire, Verma asks whether the task could be performed by a Grok Bot employee. If yes, the role is filled by a bot; if not, a human is required. He notes that creative/design work still relies on humans for now, while growth is driven by more content, higher ad spend, and fresh creatives.

    Tools and numbers mentioned

    • Revenue claim: $61,000 in the last 30 days (as stated by Verma).
    • Travel: Business operated while Verma visited 4 countries.
    • Claude usage: Since February (approx. timeline).
    • Grok Bot usage: Roughly 45 days at the time of the video.
    • Claude model referenced: Claude Fable 5.1 medium (as spoken).
    • Org chart example: 4 managers, 11 ICs (~16 seats).
    • Ads performance: Example ~$30 CPA on Meta ads.
    • Free offers: 15 free roadmap strategy calls; claims clients can grow from $1k to $20k+/mo.
    • Tools list: Claude, Grok Bot, Google Drive/Sheets, WhatsApp, Meta Ads (developers.facebook.com apps), Agent Rise, Slyte, Skool WiFi Life.

    Notable prompts and quotes

    Claude becomes the brain that designs the system, and Grokbot becomes an operator that runs it entirely.

    If a raw lead appears on lead tracker and they have booked a call, do not WhatsApp them. If they’re only in raw lead data and not on lead tracker… those are the only people to message.

    Can this hire be a Grockbot employee? If so… If not, you need a human employee.

    Caveats / hype check

    The video presents a large revenue figure without showing a profit‑and‑loss statement or detailed financials on screen. The claim of a seven‑figure business relies on the stated $61k/month extrapolated over a year. The presentation includes a strong call‑to‑action for a free community, 15 strategy calls, and a done‑for‑you offering (Slyte). While the WhatsApp and Meta Ads automations appear to be real workflows demonstrated in the video, the results shown may be cherry‑picked. Viewers should treat the income claim as aspirational rather than guaranteed.

    Concrete next actions

    • Draft a COO‑style organizational prompt for Grok Bot that outlines workstreams such as content, lead handling, and operations before launching any bots.
    • Export reusable Claude Skills (script writing, repurposing, etc.) as Markdown files and use them to train matching Grok Bot employees in the same way Verma describes.
    • If testing a WhatsApp‑based SDR, replicate the “raw lead vs booked lead” gate in Google Sheets: only message leads that exist in the raw sheet but are absent from the lead tracker.
    • Set up a Meta Ads developer app with the required system‑user token (ads_read, ads_management) and create a daily audit routine that pauses campaigns exceeding a target CPA threshold.
    • Apply the scaling heuristic: for any new role or task, ask whether a Grok Bot employee could perform it; if the answer is no, plan to hire a human for that function.