Agentic AI Architecture for Real Applications
How to structure an agentic system for a real application, not just a demo, including failure handling.
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- Bring your own work — code, campaign, report or plan
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What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1Moving from a demo script to a maintainable architecture
- 2Separating orchestration, tools, memory and interface
- 3State management and resuming interrupted tasks
- 4Failure handling: retries, fallbacks and partial results
- 5Observability: logs, traces and evaluation
- 6Cost and latency considerations at scale
Who it's for
- • Developers and architects building production agent systems
- • Tech leads reviewing agent designs
You'd leave with
- A reference architecture for agentic apps
- Failure-handling strategies
- A checklist for production readiness
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