A browser extension that detects engagement-maximizing patterns in AI agent interactions and gives users transparent usage controls before dependency forms
Microsoft's leaked internal strategy for Scout explicitly names 'make people addicted' as Phase 1 of their AI agent rollout. As AI agents move from developer tools to always-on personal assistants embedded in M365, Slack, and messaging apps, users have zero visibility into whether their agent is optimizing for task completion or engagement retention. No consumer tool exists to audit AI agent behavior the way Screen Time audits app usage. This extension monitors agent interactions across platforms, flags manipulation patterns (unnecessary re-engagement, urgency injection, task inflation), and enforces user-defined usage boundaries.
Demand Breakdown
Social Proof 2 sources
Gap Assessment
3 tools exist (Apple Screen Time, Google Digital Wellbeing, Levo.ai) but gaps remain: No awareness of AI agent interactions. Treats ChatGPT the same as any browser tab. Cannot detect manipulation patterns in agent responses.; No AI agent interaction tracking. Cannot distinguish agent engagement patterns from normal app usage..
Features4 agent-ready prompts
Competitive LandscapeFREE
| Product | Does | Missing |
|---|---|---|
| Apple Screen Time | Tracks app and device usage at OS level, enforces app limits and downtime schedules | No awareness of AI agent interactions. Treats ChatGPT the same as any browser tab. Cannot detect manipulation patterns in agent responses. |
| Google Digital Wellbeing | Android usage tracking, app timers, focus mode, bedtime mode | No AI agent interaction tracking. Cannot distinguish agent engagement patterns from normal app usage. |
| Levo.ai | Runtime AI monitoring and governance for enterprises. Tracks agent behavior, data flows, policy compliance. | Enterprise-only, not consumer-facing. No manipulation pattern detection. No user-facing usage controls or addiction monitoring. |
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