Story

After 5 years of building SaaS and testing AI content workflows, here's what the landscape looks like in 2026:

*What the data actually shows:* - AI-integrated SaaS grew 40% YoY, but thin AI content gets penalized (Google's 2025 update) - Companies using AI publish 3.2x more content, but cost per article dropped from $157 to $12-18 - The bottleneck shifted from writing (AI handles this) to idea generation (still hard)

*What's actually working:* - Semi-automated ideation → AI research → LLM drafting with brand fine-tuning → Human editing → Auto-scheduling - Automate 70%, but that 30% human touch is non-negotiable for anything that matters

*The honest breakdown:* AI excels at: Blog drafts, social scheduling, email personalization, video repurposing Still needs humans: Brand storytelling, complex sales, community management, crisis comms

*My minimal working stack (<$200/mo):* - ChatGPT/Claude Pro ($20) + SurferSEO ($89) - Native APIs + Buffer free tier - Google Analytics + Search Console

The differentiator in 2026 isn't access to GPT-4 (we all have that). It's orchestration, brand fine-tuning, and knowing where/when to inject human judgment.

*Questions for the HN crowd:* - What's your actual content automation stack? - Where are you seeing real ROI vs. hype? - What's still broken in 2026?

Curious to hear what's working in production vs. what's still just demoware.