Founder Note

Most agent failures don’t come from bad actions. They come from sequences of reasonable-looking actions that no longer add up to what the human asked for.

We built Instinctive Network to keep asking one question, on every step an AI agent takes: does the story still make sense?

Our backgrounds combine audit, AI systems, cloud infrastructure, and product engineering. The discipline of asking whether execution still matches intent — under pressure, under complexity, under expert tunnel vision — is what every part of Intent Checkpoint is built around.

— Yan Xue and Mulan Zhou, founders
  • Independent — monitored outside the agent’s own reasoning loop.
  • Measurable — supported by benchmarked traces, structured scores, and documented failure modes.
  • Human-centered — surfacing only the decisions that actually require review.
  • Operationally practical — built for real workflows, not just research demos.
hi@instinctive.network San Francisco Bay Area