One month of my transcripts records 2,800 agent runs, and the largest single workflow held 298 agents, running eight at a time.
- The removal test: pull the model out of your product. If what's left still works, you built a tool with an AI feature. If it collapses, you built something AI-native.
- I built Orbyt solo in 32 days for $400 in model spend: 243,000 lines and 4,124 tests at launch. It's past 720K lines now, with 50,809 tests.
- Most teams point agents at tasks and then watch every keystroke, which is just slow typing with extra steps. Then the catch: an agent aimed at the wrong feature builds it fast and well and never asks whether it should exist.
Read the full article: Build From the Model Out.
This summary was written with AI assistance (Claude) from the full article at https://www.orbytlabs.ai/blog/ai-native-frontier-building-core-concepts.
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