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Best Practices for Building Agentic AI Systems

Real patterns for building AI agent systems that don't fall apart. Two-tier architectures, stateless design, orchestration strategies, and what we learned building UserJot's agent infrastructure.

Clear objective (“Find all feedback mentioning ‘slow loading’”) Bounded context (“From the last 30 days”) Output specification (“Return as JSON with id, text, user fields”) Constraints (“Max 100 results, timeout after 5 seconds”) Status (complete/partial/failed) Result (the actual data) Metadata (processing time, confidence, decisions made) Recommendations (follow-up tasks, warnings, limitations) Stateless by default: Subagents are pure functions Clear boundaries: Explicit task definitions and success criteria Fail fast: Quick failure detection and recovery Observable execution: Track everything, understand what’s happening Composable design: Small, focused agents that combine well

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