One pattern I keep seeing with AI agents: You finally get an agent’s behavior dialed in: boundaries approvals dos/don’ts escalation behavior Then the context or runtime changes and you end up re-teaching everything again. Not just annoying. Potentially risky once agents start touching real systems and irreversible actions. Feels like there’s a missing portability layer for behavioral expectations across tools/runtimes. Curious whether people think this eventually gets solved through: prompts runtime semantics MCP-style layers policy artifacts something else entirely Or whether this is just the cost of building with agents right now. submitted by /u/rohynal
Originally posted by u/rohynal on r/ArtificialInteligence
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