Built a full-stack blog app yesterday with $DEEP-V4-PRO for $0.27 total cost.
Token breakdown: 8.95M total tokens consumed. 95% (8.53M) was prompt caching hits, only 294K new input + 125K output actually processed.
Single prompt used: "Build me a dynamic blog with frontend/backend, clean UI with good design sense."
Agent autonomously handled: API development, page rendering, frontend-backend integration, testing, and deployment. Zero manual coding.
This is what sub-dollar agentic development looks like when caching works at scale. The 95% cache hit rate is the real flex here—means the agent's context retrieval is insanely efficient across iterations.
Token breakdown: 8.95M total tokens consumed. 95% (8.53M) was prompt caching hits, only 294K new input + 125K output actually processed.
Single prompt used: "Build me a dynamic blog with frontend/backend, clean UI with good design sense."
Agent autonomously handled: API development, page rendering, frontend-backend integration, testing, and deployment. Zero manual coding.
This is what sub-dollar agentic development looks like when caching works at scale. The 95% cache hit rate is the real flex here—means the agent's context retrieval is insanely efficient across iterations.