Been thinking about this for a while: agents are great until they do something expensive or destructive in production. Built DeltaOps - a governance layer for AI agents: • GitHub issue triggers agent work • Agent hits decision points → asks for approval • You approve/deny from a dashboard • Full audit trail Think of it like a “pilot’s chair” for your agents - you’re in control, they execute. Running 14 internal missions. Want real feedback from people actually building agents. Link in comments. submitted by /u/OGJugbeepstakesnah
Originally posted by u/OGJugbeepstakesnah on r/ArtificialInteligence
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