ViewDAO
Everyone's shipping the same AI product. Chatbots. Writing tools. Image generators. The market is dead weight.
The real money sits in six places almost nobody is touching. Not because they're hard. Because they're boring and specific.
Compliance monitoring for small businesses. A regulation drops, your system reads it, flags what changed, tells the owner exactly what to do. $300-500/month. A single missed deadline costs them $10k in fines. The math sells itself.
Proposal generation for agencies. 3-5 hours per pitch, most of it repetitive. Build a system that takes a brief and generates a polished, branded proposal in minutes. $150-300/month or $50 per proposal. An agency sending 10 pitches monthly saves 30-50 hours.
E-commerce audits. Millions of stores running with terrible product descriptions. Inaccurate specs. Missing attributes. No SEO. An AI system scans a 500-product catalog in minutes, flags errors, rewrites for search, standardizes formatting. $500-2000 per audit plus retainer.
Industry-specific AI setup. Generic AI is useless to specialists. A law firm needs case law context. A real estate shop needs zoning codes. A medical practice needs clinical terminology without HIPAA violations. Pre-load context, build industry prompt libraries, design workflows that actually fit how they work. $2k-5k setup, $200-500 monthly.
Competitor intelligence. Local businesses want to know what rivals are pricing, launching, getting reviewed. Most check manually once a month if they remember. Build a system that monitors automatically, tracks price shifts, analyzes review sentiment, flags new offerings. Weekly brief. $200-400/month. Real-time data is worth paying for.
AI workflow audits. Companies are running AI everywhere and doing it badly. Different tools, no consistency, workflows that waste time. Walk in, audit every AI operation they're running, flag what's broken, what's missing, what to build next. $1500-3000 per audit, then charge to fix it.
The pattern: each one solves a specific problem with obvious ROI. The tool is mechanism. The value is the problem. Most people see AI as a product to build and ship. The smarter play is using AI as infrastructure inside a service business. Lower startup cost. Faster validation. Higher margins. Zero competition because everyone else is building chatbot number 847.
Catching narratives is literally everything in crypto and tech startups. The narrative here is already set: AI is table stakes, but implementation is chaos. The companies that profit aren't the ones selling another AI app. They're the ones fixing broken AI deployments and solving domain-specific problems for people who can actually pay.