The orchestration point is right but I'd reframe it slightly. The real differentiator isn't orchestration, it's context. Most AI content workflows fail not because the tools are wrong but because the model is working without a coherent brand model. It gets the topic right and the voice completely wrong, or it's consistent post to post but inconsistent with what the company actually stands for. That's not a prompting problem, it's a context architecture problem. What's actually broken in 2026 is that almost nobody has solved structured brand context at inference time. People treat it as a system prompt you write once and forget. The ones getting real ROI are the ones who've built something closer to a living brand spec that the model actually queries against, not a paragraph of adjectives at the top of a template. On the stack question, SurferSEO is fine for keyword scaffolding but I'd push back on using it as a content strategy layer. It optimizes for what's already ranking, which is useful for informational content and actively counterproductive if you're trying to build a distinctive voice. The 30% human judgment you mention should probably land there first, before ideation, not just at the editing stage.