Blog

  • 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.
  • The Drop Drive: 7 Claude Skills So Powerful They Feel Illegal (It’ll Blow Up Your Social Media)

    Channel: Kallaway

    Introduction

    Kallaway’s video presents a collection of free Claude Skills paired with Sandcastles MCP workflows that aim to turn raw channel performance data into concrete decisions about what to post next. The bundle is marketed as a way to uncover “illegal‑level” advantages for social‑media growth, especially for creators who already have a sizable library of videos. The promised outcome is a data‑driven content plan that can lift lead generation and viewer engagement without hiring an expensive strategist.

    What the video covers

    The presentation walks through seven distinct Claude Skills, each linked to a specific Sandcastles MCP report or collection. The skills are:

    • Niche Interviewer – a set of six questions that produce a positioning doc or blueprint card describing target‑viewer pain points.
    • Format Finder – analysis of competitor top videos to create a story‑structure × visual‑layout heat map, highlighting whitespace opportunities.
    • Audience Bullseye Builder – a five‑ring breadth map that plots each video by views and conversions, often revealing a single ring that drives both metrics.
    • CTA Analysis – statistical testing of spoken end‑CTAs to identify which combinations of attributes yield the highest lead‑per‑view rates.
    • Hook Genius – a prompt that, when pasted into Claude MCP, generates hook strategies and a mini helper that turns a topic into ten hook variations.
    • Content Formula Miner – rankings that combine topic, format, and visual layout, plus competitor whitespace analysis, with an option to set up a weekly recurring Claude task.
    • Content Strategy Coach – a retrospective view of the channel’s “eras” of growth, mapping what changed at each breakout point.
    • Positioning Canvas – an eight‑skill package (including the Niche Interviewer, competitor scout, Bullseye, contrarian vault, brand association, uniqueness mapper, formula lab, and the canvas itself) designed to deliver a full niche strategy in roughly 45‑60 minutes.

    The video also shares illustrative numbers, such as a claimed CTA lift from 8.3 to 31.3 leads per 1,000 views (about a four‑fold increase) and positions the full Positioning Canvas as a low‑cost alternative to a $10,000 strategist engagement that would take two weeks.

    Step‑by‑step walkthrough of the seven Claude Skills

    • Niche Interviewer
      • Answer six predefined questions about your ideal viewer.
      • Claude synthesizes the responses into a positioning doc or blueprint card.
      • Use this document to guide tone, topics, and pain‑point framing for future videos.
    • Format Finder
      • Export the URLs or IDs of your competitors’ top‑performing videos.
      • Feed the list into the Sandcastles Collections report.
      • Claude returns a heat map that overlays story structure (e.g., problem‑agitate‑solve) with visual layout (e.g., talking head, B‑roll, text overlays).
      • Identify cells with high performance but low competition – the whitespace where you can differentiate.
    • Audience Bullseye Builder
      • Upload your video performance spreadsheet (views, conversions, etc.).
      • The MCP creates a five‑ring diagram: inner ring = highest views, outer rings = progressively lower performance.
      • Each video is plotted based on its view and conversion scores.
      • Look for the ring where many videos cluster for both metrics; that ring signals the sweet spot for content that attracts and converts.
    • CTA Analysis
      • Transcribe the spoken call‑to‑action at the end of each video (or use existing captions).
      • Provide the list to the CTA Analysis MCP.
      • Claude runs statistical tests on four attributes (e.g., urgency, specificity, benefit, social proof).
      • Output shows which attribute combinations historically yielded the highest leads per 1,000 views – in the example, moving from 8.3 to 31.3 leads.
      • Apply the winning CTA template to upcoming videos.
    • Hook Genius
      • Gather the titles or hooks of your most recent 50 videos.
      • Paste them into the Hook Genius prompt for Claude MCP.
      • Claude returns a set of hook strategies (e.g., curiosity gap, bold claim, question) and a helper that can generate ten hook variations for any new topic.
      • Select the hooks that align with your brand voice and test them in the next batch of content.
    • Content Formula Miner
      • Define a topic, choose a format (e.g., tutorial, interview, listicle), and note the visual layout you plan to use.
      • Run the MCP to see how that combination ranks against historical performance and competitor whitespace.
      • If the score is low, iterate on format or layout until you find a high‑opportunity combo.
      • Optionally schedule the MCP to run weekly, automatically flagging emerging formulas.
    • Content Strategy Coach
      • Provide a timeline of your channel’s major milestones (subscriber spikes, view surges).
      • The MCP maps these points to changes in content style, posting frequency, or topical focus.
      • Identify which “era” shifts corresponded with growth breakouts.
      • Use the insights to decide which past tactics to revive or which new experiments to try.
    • Positioning Canvas
      • Run the seven preceding skills in sequence: Niche Interviewer → competitor scout → Bullseye → contrarian vault → brand association → uniqueness mapper → formula lab → canvas.
      • Each step outputs a artifact (e.g., positioning doc, heat map, ring map).
      • Combine the artifacts on the canvas to produce a holistic niche strategy.
      • The video claims the full process takes 45‑60 minutes, compared with hiring a strategist for roughly $10,000 over two weeks.

    Tools, numbers and illustrative examples

    The video names the following tools and data points:

    • Creator behind the method claims roughly 2 million followers and billions of cumulative views.
    • CTA lift example: moving from 8.3 leads per 1,000 views to 31.3 leads per 1,000 views (≈ 4× improvement).
    • Hook Genius demo uses the most recent 50 videos as input.
    • Positioning Canvas duration: about 45‑60 minutes.
    • Cost comparison: the canvas is positioned as a substitute for a $10,000 strategist engagement lasting two weeks.
    • Toolset: Claude Skills, Sandcastles.ai MCP, Reports, and Collections.
    • Free skill pack is available via the link in the video description (content.game).

    All numerical claims are presented as the creator’s own observations or internal testing; no third‑party validation is cited in the notes.

    Caveats and hype check

    The presenter acknowledges that the free skills are part of a funnel leading to paid offerings such as Short‑Form Academy and one‑on‑one coaching. The CTA 4× improvement and the $10k strategist comparison are framed as marketing language based on the creator’s data, not as guaranteed outcomes. Implementing the workflow requires exporting performance data from your channel and piping it into the Sandcastles MCP; the skills are not functional with pure Claude alone. Users should treat the numbers as illustrative rather than universal benchmarks and consider running small‑scale tests before committing significant production resources.

    Concrete next actions

    • Run the Niche Interviewer on your target niche (e.g., pickleball) to generate a positioning doc before scripting your next video batch.
    • Export the top‑performing competitor videos in that niche and use Format Finder to produce a story‑structure × visual‑layout heat map; note any whitespace cells for experimentation.
    • Once you have at least 25 uploaded videos, upload your performance spreadsheet to the Audience Bullseye Builder and CTA Analysis MCPs to identify the highest‑converting ring and the most effective CTA attributes.
    • Apply the winning CTA template and a hook generated by Hook Genius to the next three videos, then measure leads per 1,000 views to see if you approach the 8.3 → 31.3 lift range.
    • Schedule Content Formula Miner to run weekly, automatically flagging new topic‑format‑layout combos that outperform historical averages.
    • After you are comfortable with the individual skills, attempt the full Positioning Canvas (≈ 45‑60 minutes) to produce a comprehensive niche strategy document.
  • AI Receptionist: 把 AI Agent 放進 WhatsApp 群組:Skill-Wise 設定教學(Manus、ChatGPT、Zo Computer)

    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

    1. Create a Skill‑Wise account – sign up for free at skill‑wise.ai.
    2. 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.
    3. 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).
    4. 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.
    5. 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.
    6. 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.
  • The Drop Drive: 1 Secret Prompt to Create Unlimited Motion Graphics Videos with AI (FREE)

    Channel: Biet Thinks

    Introduction

    The video from Biet Thinks presents a workflow that combines a Claude Project, a master prompt, Google Flow, and CapCut to produce motion‑graphics videos without paying for premium AI credits or needing After Effects expertise. The approach is positioned as a free method for creators who want to turn any script into a series of short clips and then stitch them together for faceless explainers or Shorts.

    What the Video Covers

    The presenter explains how to set up a Claude Project with a master instruction set stored in the project description. Once the project is ready, typing “start” triggers the Claude model to lock in visual style parameters (such as aspect ratio, clip length, colour palette, and audio cues). After the style is fixed, the user pastes a script—generated elsewhere, for example with ChatGPT—and Claude outputs a numbered list of clip‑by‑clip prompts that describe each scene in detail.

    Each prompt is then fed into Google Flow, where the user selects the Video mode, sets the aspect ratio to 16:9, chooses the Omni 1.1 flash model, and selects 720p resolution. The system consumes Flow credits to render each 10‑second clip. To maintain visual continuity between clips, the creator captures the last frame of the previous clip (using Shift+Win+S) and re‑uploads it as an image ingredient for the next prompt, ensuring that lighting, colour grading, and background music remain consistent.

    Rendered clips are downloaded at 720p and assembled in CapCut’s free tier. Because Flow already embeds background music, the only post‑production step recommended is adding a voice‑over track. The presenter demonstrates the pipeline with a seven‑clip example, showing how the final video looks after editing in CapCut.

    Step‑by‑Step Walkthrough

    • Create a Claude Project (e.g., name it “motion graphics”).
    • Open the project settings and paste the master instructions from the video description into the Project Instructions field.
    • Type the word “start” in the chat to initialise the style‑locking phase.
    • Confirm the style outputs (cream/minimal/luxury look, 16:9 aspect ratio, 10‑second clip length, no branding, soft whoosh on first words).
    • Paste your full script (the video shows a script generated by ChatGPT) into the chat.
    • Claude returns a numbered series of visual prompts, one per clip (the demo shows clip 1 of 7).
    • For each numbered prompt:
      • Open Google Flow, choose Video → ingredients.
      • Set aspect ratio to 16:9, model to Omni 1.1 flash, resolution to 720p.
      • Paste the clip prompt into the ingredient box.
      • If it is not the first clip, add a screenshot of the last frame from the previous rendered clip as an image ingredient to preserve continuity.
      • Generate the clip; each 10‑second segment costs approximately 15 Flow credits.
      • Download the resulting 720p video file.
    • Repeat until all clips are rendered.
    • Import the downloaded clips into CapCut (free version).
    • Arrange them on the timeline in the correct order.
    • Add a voice‑over track if desired; background music is already embedded in the Flow clips.
    • Export the final video from CapCut.

    Tools and Numbers

    • Google Flow provides 50 free credits per day, refreshed every 24 hours.
    • Each 10‑second 720p video generated with the Omni 1.1 flash model consumes about 15 credits.
    • The example workflow uses seven clips, which would require roughly 105 credits (7 × 15).
    • To stay within the daily free limit, the presenter suggests using multiple Google accounts (four accounts were mentioned) to accumulate the needed credits over several days.
    • Tools named in the video: Claude Projects (for prompt generation), ChatGPT (for script drafting), Google Flow AI (video synthesis), Omni 1.1 flash (the specific model within Flow), and CapCut (free video editor for assembling clips).

    Caveats and Hype Check

    The master prompt that drives the Claude Project is not publicly available in the video; it is gated behind the video description or a linked resource, meaning users must obtain it from the creator to replicate the exact workflow. Relying on multiple Google accounts to harvest free Flow credits may conflict with Google’s Terms of Service, which prohibit creating accounts solely to bypass usage limits. While the presenter describes the method as offering “unlimited” motion‑graphics videos, the reality is that each clip still consumes Flow credits and requires manual editing time in CapCut. No data is provided on audience retention, view counts, or monetisation results for videos produced with this pipeline, so the claim of unlimited output should be viewed as a theoretical capability rather than a proven, scalable business model.

    “All you have to do is paste your script. The master prompt automatically analyzes your script and creates the scene‑by‑scene visual prompts… Everyday, you can use 50 Google Flow credits for free.”

    Concrete Next Actions

    • Locate the master prompt in the video description (or the linked resource) and copy it into a new Claude Project’s Instructions field.
    • Test the pipeline with a short, low‑stakes script (for example, a 150‑word explainer about pickleball rules) to verify that Claude generates usable clip prompts.
    • Run the first prompt through Google Flow using a single account to confirm the credit cost and output quality; adjust the style lock if the results deviate from the desired cream/minimal/luxury look.
    • If more clips are needed than the daily 50‑credit allowance permits, plan to spread rendering across multiple days or across additional Google accounts, while reviewing Google’s Terms of Service to ensure compliance.
    • Download the rendered 720p clips, import them into CapCut, add a voice‑over, and export the final video to evaluate the total production time and visual consistency.
    • Document the credit consumption and editing effort for your test run to decide whether the workflow meets your content‑creation volume and budget requirements.
  • Hello world!

    Welcome to WordPress. This is your first post. Edit or delete it, then start writing!