This entrepreneur treated an AI agent like a colleague. Then it started doing the work.

Instinct AI's rollout of its autonomous Instinct AI agent, which the entrepreneur deployed across marketing, operations, shipping, tariffs and other core functions, demonstrates how a single AI can act as a virtual colleague handling end‑to‑end business processes. For website owners, this signals a surge in AI‑driven traffic that mimics human behavior while performing tasks such as data scraping, price monitoring, and automated order processing. Because the agent can navigate multiple site sections without human prompting, it may generate higher session lengths, skew analytics, and potentially overload rate‑limiting rules designed for typical bots. Moreover, the agent’s ability to interpret and act on policy documents means that any gaps in your llms.txt file could be exploited to bypass restrictions. **Actionable tips:** 1. **Update llms.txt** to explicitly deny “InstinctAI/Agent” in the User‑Agent field and list the specific endpoints (e.g., /checkout, /api/pricing) you want blocked. 2. **Deploy real‑time bot detection** that flags unusually long, multi‑page sessions originating from a single IP or user‑agent string, then route them to a challenge page. 3. **Monitor traffic logs** for the “InstinctAI” signature and set automated alerts in your analytics platform to review any spikes in conversion‑related paths, allowing you to adjust rate limits before performance degrades.