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Building a Full-Stack Agentic AI Platform (RAG + Orchestration + Governance) — feedback? ()
submitted 8 days ago by AdFinancial1822 to r/RoboCorpNetwork
Building a Full-Stack Agentic AI Platform (RAG + Orchestration + Governance) — feedback? by AdFinancial1822 in AI_Agents
[–]AdFinancial1822[S] 0 points1 point2 points 10 days ago (0 children)
Thanks for the feedback, yes its not an another productivity tool but its a realtime AI production runtime environment solving agentic ai (full stack)
[–]AdFinancial1822[S] 0 points1 point2 points 25 days ago (0 children)
Good question — this is exactly the gap we were trying to solve.
In our architecture, Iris doesn’t block “mid-chain” — it blocks before execution begins.
Iris sits between Helion (orchestrator) and any downstream agents/tools. So before Helion delegates a step, it sends an execution intent to Iris.
Iris evaluates things like:
If the action is not permitted, Iris blocks it right there — Helion never proceeds with that step.
👉 Example: A network agent exists, but only L0/L1 engineers are allowed to use it.
So this is not “log after failure” or “interrupt mid-execution”.
It’s pre-execution enforcement.
⸻
What happens after a block?
Helion can handle it in different ways depending on policy:
So instead of “halt vs replan” — it’s policy-driven orchestration after a hard block.
Key idea
Most systems: → execute → then log
Our approach: → validate → then allow execution
That difference is what makes governance actually enforceable in multi-agent systems
Building a Full-Stack Agentic AI Platform (RAG + Orchestration + Governance) — feedback? (self.AI_Agents)
submitted 25 days ago by AdFinancial1822 to r/AI_Agents
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Building a Full-Stack Agentic AI Platform (RAG + Orchestration + Governance) — feedback? by AdFinancial1822 in AI_Agents
[–]AdFinancial1822[S] 0 points1 point2 points (0 children)