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1. Build a personal brand

Talk about AI, accept brand deals and sponsorships.

The easiest entry but the hardest marathon. You build an audience around AI topics — on LinkedIn, X, YouTube, TikTok, or Substack. You share what you learn, what you build, what you test. You become the go-to in a niche: AI for marketing, AI for coding, AI for solopreneurs, AI for tax advisors — the sharper, the better.

How do you make money?

Once your reach is stable (typically from 10–25k engaged followers in a clear niche), brand deals follow: SaaS tools pay for sponsored posts, AI platforms for reviews, education providers for affiliate promotion. On top: paid newsletters, community memberships, your own mini products (templates, Notion setups, prompts).

What you need:

• A clear niche and a recognisable format
• Consistency over 6–12 months (non-negotiable)
• A point of view — opinions, not summaries
• Hands-on credibility: you build and share what you build

Reality:

For the first 9 months you earn nothing. After that it scales exponentially — if the niche carries. Quit early, get nothing. Stick with it, build an asset that can generate five figures per month in 2–3 years.

2. Faceless video

Produce content that points to a physical or digital product.

You don't show your face. Instead you produce visually strong short videos with AI-generated images, voiceovers, and editing templates. The videos run on TikTok, YouTube Shorts, Instagram Reels — and link to a product: print-on-demand merch, an ebook, a digital asset, an affiliate product.

Why it works:

Algorithms reward visual hooks and fast cuts, not personas. With tools like Midjourney, Runway, ElevenLabs, and CapCut, a solo operator can produce 5–10 videos a day. Scalable, anonymous, location-independent.

The mechanic:

1. Pick a niche (sci-fi, self-help, pet content, sports stats)
2. Establish a recognisable format (same voice, same visual language)
3. Connect a product (Shopify + Printful for merch, Gumroad for digital)
4. Optimise CTR from video → bio → shop

Realistic numbers:

A well-run faceless channel with merch attached makes €1,000–10,000 per month — depending on conversion and margin. Margins are thin (€5–15 per T-shirt), but volume is doable.

Risk:

Platform dependence. If TikTok bans your account, the business is gone. Diversification is mandatory.

3. AI training for businesses

Custom training for a company on automation, tool stack, and hardware.

This is the most lucrative entry if you have operational experience. Companies know they need AI — but no one internally knows where to start. You come in, take stock, build a tailored tool stack, and train the team.

Typical engagements:

• Workshop day (€1,500–5,000): AI basics, tool demo, first use cases
• Multi-week implementation project (€10,000–50,000): tool audit, stack rollout, hands-on coaching
• Ongoing retainer (€2,000–8,000/month): continued guidance, new use cases, team training

What you have to offer:

• A framework: not "we use ChatGPT", but a structured tool selection per function (marketing, sales, operations, HR)
• Hardware recommendations (local models, computer vs. cloud)
• Data-protection setup (GDPR-compliant, EU hosting, on-prem options)
• Measurable outcomes (hours saved, output increased)

Who buys this?

Mid-market (50–500 employees), agencies, law firms, tax advisors, manufacturers. They have budget but no in-house know-how.

Advantage:

You learn more with each project — and the next one sells faster. In this market, referrals are gold.

4. Vibe coding

Find a boring routine workflow that can be automated.

Vibe coding means: you build small, focused software products with AI as a co-pilot. No engineering team, no VC, no 12-month roadmap. You spot a painful workflow, ship a vibe-coded solution in 1–4 weeks, and sell it as SaaS.

The 90-second rule:

If the user can't tell within 90 seconds on your landing page what the product does and why it helps them, you've lost. Clarity beats feature depth.

Workflow hunting:

Good vibe-coding products solve a recurring, boring workflow — one that's done manually today. Examples:

• Parsing invoices from PDFs into DATEV format
• Auto-sorting LinkedIn comments by sentiment
• Tax-advisor client onboarding (checklist + document collection)
• Generating e-commerce product descriptions from images

Pricing:

€29–99/month works for solopreneurs and small teams. €199–499/month for mid-market use cases. Goal: 50–200 paying customers in the first 12 months.

Stack:

Next.js, Supabase, Claude API, Stripe — done. MVP in 2 weeks, first revenue in 8 weeks, profitable in 6 months.

Why this works now:

AI has cut development cost by 10×. A solo builder can ship a product today that would have required a 5-person team before.

5. Marketing automations

Content research, content creation, content distribution.

Companies spend five- to six-figure budgets on marketing every month — and most of it is manual work AI now does better. You build complete content pipelines for clients, running on AI.

The three pillars:

1. Research: trends, competitor content, keyword gaps, audience insights — all automated via AI + tools like Apify, Perplexity, custom scrapers
2. Creation: blog posts, LinkedIn threads, newsletters, video scripts, image assets — orchestrated through Claude/GPT + brand-voice guidelines
3. Distribution: auto-posting to all channels (LinkedIn, X, BlueSky, Threads, Substack, blog) via posting agents

Pricing models:

• Setup fee + monthly retainer: €5,000 setup + €2,000–5,000/month
• Performance-based: % of pipeline value generated by the content
• Whitelabel SaaS: you build the system once, sell it as a product to 20+ clients

What clients want:

Not more content — less work for the same or better output. Frame your pitch exactly like that: "We make your marketing team 5× more productive without new hires."

Realistic scaling scenario:

3–5 clients at €3,000/month = €9,000–15,000 MRR. With 2 operators, scalable to 30–50k MRR in 12 months.

Long game:

The automation itself becomes a product: first service, then tool, then SaaS.

Which path fits whom?

• You have reach or want to build it? → Personal brand
• You're good at visuals and like volume? → Faceless video
• You're senior and operationally experienced? → AI training for businesses
• You can (vibe-)code and love products? → Vibe coding
• You understand marketing funnels? → Marketing automations

The mistake is starting all five at once. Pick one, give it 6–12 months, then expand.