Channel: 阿石OMP
Introduction
The video from 阿石OMP demonstrates how to place an AI agent inside a WhatsApp group using the Skill‑Wise platform. The presenter shows a live demo where an “OMP Demo” agent answers a question about yesterday’s event attendance (97 %) and explains the approval flow that lets a colleague tag the agent and require an owner emoji before the agent can access company data.
What the Video Covers
- Why a 1:1 WhatsApp chat with an AI is less useful than putting the agent in a group where teammates can @‑mention it.
- A live demo of the OMP Demo agent responding to a query about event attendance and the optional human‑approval step.
- The end‑to‑end setup process for connecting Manus, ChatGPT (paid), or Zo Computer to a dedicated WhatsApp number via Skill‑Wise.
- Technical detail: a WhatsApp message creates a Manus task; when the task finishes, the reply is returned to WhatsApp.
- Beta pricing information, the free‑for‑~100‑users offer, and the promotional pitch for CEF‑funded courses and related tools.
Step‑by‑Step Walkthrough
- Create a Skill‑Wise account – sign up for free at skill‑wise.ai.
- Connect an AI model
- Choose ChatGPT (requires a paid subscription), Manus, or Zo Computer.
- If using Manus, paste the Manus API key obtained from the Developers portal.
- Zo Computer is noted as the preferred option for fine‑grained permission control.
- Add a dedicated WhatsApp number
- Do not use your personal WhatsApp account.
- Register a new WhatsApp number (or a secondary SIM) and link it via the QR code shown in Skill‑Wise (WhatsApp Web flow).
- Configure approval settings
- Set the default behaviour: the AI ignores requests until it receives explicit permission.
- Define per‑colleague rules – either auto‑allow or require an owner emoji (e.g., 👍) before the agent may access CRM or other internal data.
- Invite the agent to a WhatsApp group
- Add the dedicated WhatsApp number as a participant in the desired group.
- Team members can now @‑mention the agent to ask questions.
- Observe the interaction flow
- A user’s @‑mention triggers a WhatsApp message.
- Skill‑Wise forwards the message to the selected AI (Manus/ChatGPT/Zo) as a task.
- When the AI finishes processing, the result is sent back to WhatsApp as a reply.
- If approval is required, the agent waits for the owner’s emoji response before proceeding with any data‑access actions.
Tools, Numbers, and Key Details
- Demo answer: the agent reported yesterday’s event attendance as 97 %.
- Skill‑Wise beta: free for the first ~100 friends/users; potential future charges if server costs increase.
- Supported AI connections: ChatGPT (paid), Manus (API key required), Zo Computer (preferred for granular permissions).
- WhatsApp integration: uses the standard WhatsApp Web QR process to link a dedicated number (not a personal account).
- Underlying tech: WhatsApp message → Manus task → task completion → reply returned to WhatsApp.
- Additional mentions: Whisper ASR was used for transcription (no YouTube captions); the video ends with a pitch for CEF‑funded AI marketing/office courses and related tools such as Manus, VPN, and Alibaba office solutions.
Caveats / Hype Check
“將 AI 放進 WhatsApp Group 上是比較實用的”
“我們建議你是使用一個新的 WhatsApp 號碼… 不要連接你自己的個人號碼”
“預設 AI 是不會應付他們的，所以你一定要設定權限給它”
The presenter notes that Skill‑Wise is still in beta, with a free‑for‑~100‑users offer that may transition to a paid model later. The transcript was generated via Whisper ASR, which can introduce noise (e.g., mis‑recognised terms). No independent security audit of the WhatsApp‑to‑AI bridging process is mentioned. The video concludes with promotional CTAs for courses and related tools, which should be evaluated separately from the core functionality.
Concrete Next Actions
- Evaluate Skill‑Wise (or a comparable WhatsApp‑group AI bridge) for an AI receptionist or HK‑based operations workflow, focusing on mandatory human approval before any CRM write or data‑access action.
- If exploring alternatives, compare Skill‑Wise’s multi‑user group + approval model to tools like Speedy WhatsApp computer‑use or Grok Bot, noting differences in permission granularity and pricing.
- Set up a test environment using a fresh WhatsApp number, connect a preferred AI (e.g., Zo Computer for fine‑grained control), and run a small internal pilot with a handful of colleagues to verify the approval flow and response latency (approximately 10 seconds in the demo).
- Document any observed ASR‑related transcription issues and assess whether they impact the reliability of the agent’s answers in your specific use case.