Agentic AI that Enterprises Can Trust: DNA-Lang + watsonx + Qiskit (hands-on patterns, code, and governance)
#watsonx.ai, #watsonx.data, #Qiskit, #OpenShift, #Guardrails, RLHF, #Post-Quantum, #Agentic-AI, #Model-Ops
Enterprise teams want AI that's explainable, governable, and shippable. I'll share open patterns we've battle-tested to deploy multi-agent copilots with watsonx.ai, watsonx.data, OpenShift, and Qiskit Runtime-including guardrails, red-teaming, and compliance scaffolding.
What you'll get
Reference stack: Next.js frontend → FastAPI/Node service mesh on OpenShift → watsonx.ai (inference + prompt hub) → watsonx.data (catalog/RBAC) → vector store → observability (Prom/WLM).
Agentic safety: tool-use whitelists, prompt sanitizers, retrieval scopes, action simulators, audit spans.
Post-quantum posture: CRYSTALS-Dilithium keying + migration plan for app secrets and API auth.
Live code: "Hello, Guardrailed Agent" blueprint (MIT) + CI/CD checks (prompt diffs, evals, jailbreak fuzz).
Bonus: How we align to the Text2SQL wave in watsonx.data intelligence (natural-language querying), with example governance controls for data products.
Want a deeper dive in person? I'll be in Orlando Oct 6–9-DM to join a small-group lab on agentic safety patterns.
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