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- How To Make $15K/Month Using AI, Playbook Inside
How To Make $15K/Month Using AI, Playbook Inside
Three service businesses you can start Monday: platform migrations, AI implementation sprints, and labor transition consulting. VCs just confirmed the market with $140B.
Latestly AI
March 06, 2026
In partnership with
Top 3 Things in Todayâs Latestly AI Edition
Migration services: $15K-50K per client helping startups escape locked platforms
Implementation consulting: $25K-75K per week deploying Claude for enterprises
Anthropic owns 40% of enterprise AI: Build on the winning platform: vertical Claude solutions command premium pricing while generic AI commoditizes
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TOOL OF THE WEEK
đ ď¸ The No-Code AI Builder Wars Heat Up
The Pattern: A quiet revolution is happening in application development, and the winners aren't who you'd expect.
While everyone obsessed over ChatGPT and Claude, a different category exploded: AI-powered no-code builders that turn prompts into production apps. Base44, Lovable, Bolt, and a dozen competitors are now fighting for the $94.75 billion low-code market projected by 2028.
What This Means For You:
If you're building anything that requires rapid prototyping: internal tools, MVPs, client demos; these platforms have fundamentally changed the economics. What once took a $150K agency contract and 3 months now takes $50/month and 3 days.
The most interesting insight? Different builders optimize for different exit strategies:
Base44 keeps you in their ecosystem: fast to start, hard to leave
Lovable gives you full GitHub export and Supabase integrationâslower start, total control
Bolt focuses on clean, editable code with zero vendor lock-in
The Opportunity: Service businesses are scrambling. Every "we'll build your MVP" agency is either pivoting or dying. The smart ones are pivoting to "AI implementation consulting" - helping companies choose tools, build workflows, and train teams. The revenue opportunity here is massive: companies need guidance navigating 20+ similar-looking platforms, and they'll pay premium rates for strategic advice.
Action Item: If you're technical, learn two of these platforms deeply and start offering "rapid MVP workshops" to companies. Charge $5K-10K per week-long sprint. If you're non-technical, this is your chance to build without code dependency, prototype your ideas before spending a dollar on developers.
đ Instead of X, Use Y: The Great AI Builder Escape
The Setup: You don't want to build on a platform you can't escape from.
Everyone's talking about Lovable vs. Base44, but they're asking the wrong question. It's not "which is better?"âit's "which matches your 24-month plan?"
If You're Validating an Idea (0-6 months):
Use Base44 â Fastest possible deployment, built-in hosting, zero configuration. You'll have a demo link in under an hour. You're not building a company yetâyou're testing if anyone cares. Speed beats flexibility.
The Trade-off: Proprietary backend, limited code export. If you succeed, you'll need to rebuild. But if you fail (and 90% do), you'll have wasted months less time.
If You're Building to Sell (6-18 months):
Use Lovable â Full GitHub integration, exportable React/TypeScript code, Supabase backend. Every decision optimizes for "can I hand this to developers?"
The Trade-off: Steeper learning curve, more decisions to make upfront. But you're building equity, not debt.
The Real Insight: The platforms solving different problems. Base44 is for speed. Lovable is for sovereignty. Bolt is for developers who want AI assistance without AI dependency.
The $5M Opportunity No One's Talking About:
Migration services. Thousands of companies will build on Base44, validate their market, and need to migrate to owned infrastructure. The first company that builds a "Base44 to production-grade infrastructure" migration service will print money.
Action Item: If you're a dev shop, start documenting how to migrate Base44 apps to self-hosted infrastructure. Build the playbook now, sell it for $15K-50K per migration in 18 months.
AI STORY OF THE WEEK
đ Anthropic's Enterprise Dominance And What It Means for Founders
The Numbers That Matter:
Anthropic just raised $30 billion at a $380 billion valuationâthe second-largest funding round ever. But buried in the noise is the insight that actually matters:
40% of enterprise LLM spending now goes to Anthropic (vs. 27% for OpenAI)
85% of revenue from business customers (not consumers)
Projected positive free cash flow by 2027 (OpenAI projects $115B in losses through 2029)
Why Operators Should Care:
This isn't about AI safety or model qualityâit's about business model validation. Anthropic proved you can build a profitable AI company by going enterprise-first. While OpenAI burns cash acquiring consumers, Anthropic is turning businesses into paying customers.
The Opportunity Pattern:
Enterprise tools beat consumer tools in the AI era. Here's why:
Willingness to pay: Companies pay $30-150/employee/month for AI tools. Consumers pay $20/month, maybe.
Lower churn: Enterprise contracts are annual or multi-year. Consumer subscriptions cancel monthly.
Sales efficiency: One deal with a 500-person company beats 500 individual consumer conversions.
Real Opportunities from Anthropic's Growth:
1. Vertical AI Solutions Built on Claude
Anthropic's API revenue is projected to hit $3.8 billion this yearâdouble OpenAI's API business. That means developers are choosing Claude for production apps.
The Gap: Industry-specific Claude implementations. General-purpose AI is commoditizing. Specialized AI (for legal research, medical documentation, financial analysis) commands premium pricing.
Action Item: If you're in a regulated industry, build a Claude-powered tool that understands your industry's compliance requirements. Anthropic's enterprise focus means they'll support your compliance needs better than consumer-first competitors.
2. AI Implementation Consulting
Claude Code hit $1 billion run-rate revenue in six months. Companies are desperate to deploy AI but terrified of doing it wrong.
The Service Opportunity: "Claude Implementation Sprints"âweek-long engagements helping companies identify their best use case, build a proof of concept, and deploy to production. Charge $25K-75K per sprint.
3. Claude-First Products
Building on the platform that's winning enterprise? That's moat. Companies want to reduce vendor riskâif Claude has 40% market share and growing, building on Claude is safer than building on a platform that might disappear.
The Insight: Anthropic's enterprise dominance isn't just newsâit's a signal about which platform to build on if you're selling to businesses.
TOP AI FUNDING ROUNDS
Where the Smart Money is Moving?
The Meta-Pattern: February-March 2026 isn't about consumer AI. It's about infrastructure, defense, and labor replacement.
The Mega-Deals:
Company | Funding | Lead Investors | Valuation | Signal |
|---|---|---|---|---|
OpenAI | $110B (Private Funding) | Amazon, Nvidia, SoftBank | $840B | Infrastructure spend is accelerating. OpenAI is building compute capacity for massive AI deployment. AI is moving beyond consumer products toward replacing white-collar work at scale. |
Anthropic | $30B (Series G) | GIC, Coatue, D.E. Shaw | $380B | Enterprise AI is now mission-critical infrastructure rather than experimental. Sovereign wealth funds and quant firms leading rounds signal foundational AI platform building. |
Ayar Labs | $500M (Series E) | NVIDIA, AMD | $3.8B | Data movement is becoming the AI bottleneck. Optical interconnects move data ~20Ă faster than copper, making âdata plumbingâ a major opportunity for scaling AI systems. |
The Mid-Stage Plays Worth Watching:
Company | Funding (Amount + Round) | What They Do | Opportunity Pattern |
|---|---|---|---|
Grow Therapy | $150M â Series D | AI-augmented therapy network | AI in healthcare isnât replacing doctorsâitâs eliminating busywork. Therapists spend 70% less time on notes. Where else does expensive talent waste hours on admin tasks? |
Science Corp | $300M â Series | Neural implants (first EU market launch) | Brain-computer interfaces are transitioning from research to product. The companies that move first will own the category. |
SMACK Technologies | $32M â Seed + Series A | Defense AI (military LLMs by former Marines) | Defense tech is having a moment. Geodesic and Costanoa are betting on âAI for the battlefield.â This capital is creating a new startup category whether you like it or not. |
Rowspace | $50M â Seed + Series A | AI data aggregation for PE firms | Private equity needs unified portfolio visibility. One deal here beats 1,000 consumer subscriptions. |
Ease Health | $41M â Series A | AI-powered mental health practice management | Behavioral health is digitizing. All-in-one platforms that consolidate CRM, EHR, and billing are winning over legacy point solutions. |
The Opportunity for Founders:
Follow the infrastructure spend. When platforms spend billions on compute and interconnects, they're betting on massive scale. That means:
Supporting services: Every scaled AI deployment needs security, compliance, data pipelines, monitoring
Vertical solutions: Generic AI is commoditizingâvertical AI still commands premium pricing
Labor market disruption: If VCs are funding "AI for labor replacement," there's opportunity in helping displaced workers transition
Action Item: Look at your industry. Where are expensive humans doing repetitive cognitive work? That's where AI will land first and you can either build the tool or build the services around implementation.
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