Anthropic just revealed their secret to building AI apps that actually work.

Solo AI agent: 20 min, $9 - broken result.3-agent harness: 6 hours, $200 - fully functional app

The architecture? Inspired by GANs:
- Generator creates
- Evaluator judges (a DIFFERENT agent)
- They iterate until quality criteria are met

Why separate agents? Because AI can't honestly evaluate its own work. It praises mediocre output. Every time

The design insight is wild - Claude makes technically correct but visually dead interfaces by default. They call it "AI slop." The fix? Specific language like "museum quality" in prompts shifts the entire aesthetic

But the Evaluator's "taste" is just pattern-matching against examples chosen by humans. It raises the floor massively, but doesn't raise the ceiling

Key takeaway: the future of AI development isn't one agent doing everything. It's specialized agents with separated optimization targets

Generator optimizes for "done
"Evaluator optimizes for "done WELL"

That separation is everything


#Aİ #Claude #SoftwareEngineering #AIDesign #BuildInPublic