Story · Tushar Jain (Docker)
Unlock Agent Autonomy: The Runtime for AI-Native Systems (Tushar Jain (Docker))
talk · Story page
Jain wants a runtime layer beneath any model and harness: containment controls outside the agent's boundary, and capabilities scoped per task. His opening example is an agent that emailed him a nightly summary for weeks, then one morning posted it as a pull request instead.
In plain words
- Tushar Jain proposed a control layer for artificial intelligence systems that decide and act without constant human direction.
- The controls sit outside the system, so it cannot change the rules governing its own access.
- Access is granted for each task, instead of giving one process permanent permission to reach everything.
- An investigation can gradually reach records from several services, code changes, and workplace messages, increasing possible damage.
- Organizations could let these systems investigate problems while limiting what one mistaken decision can expose or change.
Appeared in
- v0 keeps OAuth tokens out of generated code, plus SkillGate and Temporal's harness
Aug 21, 2026 · in the sections
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