Video summary

She Found The Fastest Way To Make Money With AI (No Tech Skills)

Main summary

Key takeaways

Business

Business strategy & positioning

  • Non-technical founder → AI implementation specialist: Brooke built credibility by using AI/automation inside her own workflows first (side hustles like running retreats/coaching), then expanded into teaching and consulting.
  • Build trust first, monetize via paid offers
    • Content/podcast/YouTube are largely free, but the paid next steps are clearly positioned (membership + consulting).
    • She explicitly avoids “snake oil” and “pay me to work with you” models; paid value is tied to outcomes.
  • Single-founder scalability with AI automation: Uses AI to reduce operational burden (content production, transcription, captioning, funnel setup, and admin prep for calls).

Revenue model (offers & funnel)

  • Primary channels
    • School/Membership community (referred to as “school”)
    • Consulting (1:1): “fast-track” learning for individuals/businesses
    • In-person / higher-ticket “training” for teams (limited availability)
    • Bonus revenue: selective brand collaborations + trainings into other communities

Key metrics / KPIs / targets mentioned

Income milestones

  • $100k/year within the first year (stated early)
  • Now doubling that (implied trajectory)
  • Current school/membership revenue: just under 18k/month
  • Annual target: $200k this year (Australia financial-year context: July–June)
  • Consulting pricing: 2,000 AUD per 1:1 client (~$1.4k USD per person)
  • Consulting volume: ~4 consulting clients/month
  • Membership price: $167 USD/month
    • previously $111, and earlier $64 (Slack/Notion founding stage)
  • Top-tier team training price: $18k
    • takes 2–3 per year

Content engine metrics

  • Posts ~150 pieces of content/week
  • Instagram growth mentioned: ~150 followers → just under 30k
    • timeline roughly ~18 months

Operational metrics

  • Consulting call efficiency improved via automated intake + AI summaries
    • so calls aren’t spent on “tell me about your business” discovery.

Operating playbook: “systems first” + outcome-based automation

Step-by-step process she recommends (replicable framework)

  1. Start with solutions for your own business
    • Learn AI/automation by building real systems (e.g., client onboarding, booking flows, workshop follow-ups).
    • Document what you build to create proof and attract leads.
  2. Use AI for production + distribution
    • Film + let AI transcribe, caption, repurpose, and publish across platforms.
  3. Move from free learning to paid implementation
    • Free workshops/lead magnets exist, but there’s a defined paid next step (membership or consulting).

Tool/workflow framework (explicit stack/process)

  • Automation stack
    • Claude Code (primary “workhorse” for workflows + content ops)
    • N8N for cloud-run automations (e.g., scheduled tasks without relying on laptop uptime)
    • Claude/ChatGPT used early; now she emphasizes Claude Code for more throughput
    • Playwright MCP for browser automation
    • Remotion for text overlays/video formatting
    • ManyChat for Instagram DM funnels / lead magnet delivery (trigger-word based)
    • Blue Kaydo (referenced as a tool used to publish/syndicate content across channels)
  • Outcome-based prompting
    • Prompt AI with desired outcomes (e.g., “check calendar daily + ping Slack + avoid token-heavy operations”), then reverse engineer the workflow.
  • Cost-control principle
    • Use N8N for “zero-cost” scheduling tasks (tokens-saving).
    • Reserve AI for higher-value generation.

Marketing & growth system (content + distribution engine)

Replication playbook: “outliers → scripts → batch production → multi-channel publishing”

  • Find outlier-performing content
    • Use Claude Code to scrape stats and identify what performed well (including competitor outliers).
  • Batch content production
    • Mondays = “content day”
    • Example workflow:
      • Film multiple shorts (e.g., 21 short-form videos)
      • Feed media into Claude Code skills to:
        • transcribe
        • generate captioning/text overlays (Remotion)
        • create carousels/threads
        • generate LinkedIn/article derivatives
  • Use CRM/lead magnet automation
    • Claude Code can trigger ManyChat flows and auto-update trigger words tied to new lead magnets.
    • Mechanism: comment/trigger word → DM funnel → deliver links → route to membership/other offers
  • Personal brand as conversion lever
    • She emphasizes being real/grounded and avoiding shifty promotions to protect trust.

Pricing & conversion philosophy (playbook)

  • Don’t ask people to pay you to work with you
  • Don’t give everything away for free
    • Free workshops warm audiences, but “working closer” is paid.
  • Membership pricing as a growth-control lever
    • She increased price as she scaled to maintain quality (attributed to her “paid-first community” approach).
    • Membership was intentionally raised to curb growth, ensuring she can deliver value.

Sales/lead generation & inbound vs outbound

  • Inbound dominates now: “Every single one of my work opportunities is now inbound” (after early directory/event presence).

Early stage acquisition tactics

  • Listed on a women’s networking directory
    • led to speaking/system-audit requests for events
  • Partnered with local business chambers
    • run intro workshops to become the local “AI expert”
    • collect emails even if the workshop is free
    • convert attendees into either:
      • team training (“teach my team”), or
      • done-for-you/system build (“build systems for us”)

Competitive advantage claim

  • She claims in-person is less competitive than online
    • online AI money content is crowded; local in-person is “less competitive” and easier to explain with real-time troubleshooting.

Concrete examples & actionable recommendations

  • “Free workshop → paid workshop/membership” ladder
    • Early: free 45-minute intro workshop
    • Then paid workshop (~$1,000/person initially; later doubled)
    • Later: membership launched to prevent churn from people who loved it but didn’t follow through
  • Improved consulting onboarding
    • automated intake form + AI summaries
    • start calls with a game plan rather than discovery
  • Content automation example
    • From a podcast transcript → Claude Code creates 3 carousels per podcast episode
    • then posted via scheduling tools

Presenter / sources

  • Presenter/Guest: Brooke (handle referenced: @writemode; podcast: Not Another AI Girl)
  • Host: Sandy

Original video