Video summary
The Side Hustle AI Was Supposed to Kill Is Booming
Main summary
Key takeaways
Business / Market Context (Why the Opportunity Exists)
- Demand shift for human-led writing despite AI
- Reportedly, “hire a writer” search volume fell when ChatGPT launched (late 2023).
- It then rose sharply over the last ~2 years, driven by companies paying for AI-assisted, SEO-focused content that still needs:
- Human voice
- Human quality control
- Execution advantage
- AI can draft, but buyers increasingly pay for:
- Human voice + storytelling
- Tool fluency (knowing how to actually use the products being written about)
- Speed + accuracy (shipping content quickly when products/news change)
- AI can draft, but buyers increasingly pay for:
Pricing, Workload, and Monetization Model (Core Business Specifics)
- Typical customer: B2B SaaS companies
- Examples mentioned: Zapier, Jotform, Softr (Softr referenced), plus other “tech companies.”
- Pricing & throughput
- $900–$1,200 per blog post
- ~5–6 hours per article
- Article length: ~2,500–3,000 words
- SEO-only intent: targeting SEO rankings, while still remaining readable for humans
- Income outcomes (reported)
- 5–10 blog posts per month
- ~$800–$1,200 per post
- ~$6,000–$7,000/month, mostly from writing (plus coaching/side work)
- Additional offers
- College application essay help: $90/hour
- Sold in packages of 5 ($450 per package)
- Coaching packages: varied
Playbook / Framework: “Hire a Writer” Demand → Premium Freelance Positioning
Practical playbook to charge high rates
- Build a portfolio (non-negotiable)
- If needed, start uncomfortable: write for friends/small businesses or volunteer work.
- Target: ~4–5 writing samples
- Samples can be unpublished (publish on a personal site or share as portfolio pieces).
- Choose a niche + one form of writing
- Start generalist, then specialize because trust forms around expertise.
- Examples: “tech tutorials,” “B2B SaaS SEO,” “barbecue niche.”
- Use marketplaces + cold outreach
- Primary lead source mentioned: Upwork
- Also: LinkedIn/social engagement + cold pitches with research.
- Pitch fast and specifically
- Recommended cold pitch length: 4–5 sentences:
- Brief intro
- Genuine connection
- Reference a specific detail from their content
- Share portfolio
- Ask to connect
- Recommended cold pitch length: 4–5 sentences:
- Charge per deliverable, not hours
- Use tools (example given: Granola transcription) to estimate scope and timeline.
- Quote fixed pricing to avoid surprises (sometimes internally anchor to an hourly rate).
Premium positioning logic (Why companies pay ~$1K/article)
- Buyers value:
- Speed
- Thought leadership
- Example scenario: if a product is discontinued or a major event happens, the next-day SEO/tutorial content matters.
- Buyers want:
- Human creativity + culture awareness
- This implies they prefer well-rounded writers (not just grammar/style, but also originality and engagement).
- AI workflow index insight (Zapier work):
- AI is used selectively, not end-to-end.
- AI commonly takes ~18% of workflow steps.
- Humans remain in the loop to finalize.
Operating Process: “AI-Assisted but Human-Owned”
Tool stack / production workflow (concrete routing example)
- Claude: preferred for marketing/content writing and filtering notes into drafts
- ChatGPT: used for writing + research
- Gemini: used for processing video/audio
- Cursor: used as an orchestrator (“model flexibility”) to route tasks across tools
- Key idea: Don’t “automate everything.” Use AI where it saves the most time and improves quality.
Tutorial creation workflow (detailed example)
- Record yourself (screen recording similar to Loom) while building the workflow.
- Narrate the “confusing points” and your first thoughts.
- Route work:
- Video/audio → Gemini (process + “watch”)
- Notes → Claude using a reusable template
- First draft returned → human edit
- Punch up bland parts
- Preserve personality
Voice authenticity rule
- AI may capture some style/structure, but it misses:
- Personal “memories”
- Real lived details
- Fully outsourcing can make your voice static (less evolving/learning over time).
SEO / Content Execution Details (What’s Required)
- Customers supply:
- Keywords
- Desired SEO structure
- Writer must apply SEO best practices, including:
- Heading/subheading formatting
- Target word count guidelines
- Avoiding keyword stuffing
- Generative AI discovery (“GEO: generative engine optimization”)
- The segment notes it as “new things to keep in mind,” but does not provide deeper tactics.
Metrics & KPIs Mentioned (Business-Relevant)
- Price KPI: $900–$1,200 per blog post (also stated as ~$1,000 target)
- Time KPI: ~5–6 hours per 2,500–3,000 word article
- Output KPI: 5–10 posts/month
- Income KPI: ~$6,000–$7,000/month (writing-heavy), plus tutoring/coaching
- AI usage KPI (Zapier AI Workflow Index):
- AI comprises ~18% of workflow steps
- AI commonly supports drafting/analysis rather than autonomous publishing
- Voice/originality estimate (self-reported):
- ~70–80% of words are “mine”
- ~70% of structure is mine
- Intro/headings/body length choices controlled by the writer
- Secondary earnings KPI (college essay help):
- $450 per package of 5 (at $90/hour)
Concrete Recommendations / Common Mistakes (Actionable)
- Don’t automate end-to-end
- Over-automation can cause:
- Time spent configuring tools
- Output that isn’t 100%
- Burnout / “AI brain fry”
- Over-automation can cause:
- Spend time testing the tool you’re reviewing
- A large portion of the 5–6 hours is hands-on testing
- Also read community feedback (e.g., Reddit) to catch issues like confusing pricing
- Write fast after events, with credibility
- Companies pay for “thought leader” immediacy and strong human narrative quality
- Use transcription tools to scope accurately
- Example: Granola transcription can:
- Transcribe meeting
- Extract deadlines
- Estimate time
- Enable better fixed quotes
- Example: Granola transcription can:
Example Proof Points / Case Studies (Distribution + Outcomes)
- Zapier feature guide
- Speaker wrote a guide for a new product/tool (e.g., “Zapier MCP … feature guide”).
- Validation / distribution
- Anthropic published or linked to the work in a newsletter, driving traffic.
- Portfolio “trust compounding”
- Once a customer trusts the writer, contracts can last years.
- Speaker cited holding onto freelancers at Zapier over long timeframes.
Light Strategy Around AI “Authenticity” Signals (Execution-Level Implications)
- Watermarks + platform policies (high-level)
- Anthropic watermarking described as an “invisible” signal for AI-generated Claude outputs.
- Platforms reportedly deprioritize or demonetize “faceless AI” channels/videos (examples mentioned: Snapchat/YouTube).
- Business implication
- Buyers want real human writing that meets quality/authenticity expectations and stays engaging/readable.
Presenters / Sources Mentioned
Presenters / interviewees
- Chris (host; referred to as “Chris” multiple times)
- Steph Spectre / Stephanie Spectre (guest; writer/editor/coaching)
Brands / tools cited (not presenters)
- Apple, Zapier, Upwork
- Claude, ChatGPT, Gemini, Cursor
- Granola, Loom (as reference)
- Microsoft, Replet, Lovable, Anthropic
- YouTube, Snapchat, Sora, OpenAI
Other referenced organizations / examples
- Tim Cook (Apple)
- Biggie Smalls’s son / Notorious V.I. (CBD brand context)
- Anthropic newsletters
- Zapier MCP
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