This continuation focuses on practical scenarios, production-readiness checks, and a reusable execution template to move from architecture discussion to implementation planning.
The scenarios below show where each pattern provides measurable value. This is usually the fastest way to decide whether you need pure prompting, RAG, or full agent orchestration.
Challenge: Agents waste time searching scattered product docs and ticket history.
Architecture: LLM plus RAG over support articles, release notes, and prior resolved cases. MCP connector to ticket system for controlled updates.
Outcome: Lower first-response time and higher resolution quality with traceable citations.
Challenge: On-call engineers need fast root-cause hints across logs, dashboards, and runbooks.
Architecture: Agent runtime retrieves telemetry and runbook sections, calls read-only diagnostics tools via MCP, then summarizes probable causes and next actions.
Outcome: Faster mean-time-to-understand with safer, evidence-backed remediation plans.
Challenge: Proposal quality varies and teams spend too long assembling context.
Architecture: LLM planner with RAG over product catalog, pricing constraints, and legal templates. Human approval required before final export.
Outcome: Higher proposal consistency and shorter turnaround without policy violations.
Challenge: Turning raw notes or videos into publishable content is repetitive.
Architecture: Agent workflow creates transcript summaries, SEO tags, and draft outlines using RAG from your previous posts and style guide.
Outcome: Faster publishing cadence with more consistent brand voice.
Challenge: Audit evidence collection is manual and fragmented across systems.
Architecture: MCP connectors gather policy docs, change logs, and access records while an LLM organizes evidence packs and highlights gaps.
Outcome: Shorter audit cycles and clearer readiness reporting for leadership.
Challenge: Daily priorities are split across email, calendar, and tasks.
Architecture: RAG over personal context plus an agent that drafts prioritized action lists and suggested replies with approval gates.
Outcome: More focused execution with reduced context switching.
1) Business problem and success metric 2) Architecture choice: LLM only, RAG, or agentic flow 3) Diagram walk-through (data, control, and trust boundaries) 4) Live workflow demo with guardrails 5) Evaluation report: quality, latency, and cost 6) Operational checklist for production rollout 7) Next iteration plan and open risks